Show that you understand the current state of research on your topic.
The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.
One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.
Download our research proposal template
Discover proofreading & editing
Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.
Like your dissertation or thesis, the proposal will usually have a title page that includes:
The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.
Your introduction should:
To guide your introduction , include information about:
Professional editors proofread and edit your paper by focusing on:
See an example
As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.
In this section, share exactly how your project will contribute to ongoing conversations in the field by:
Following the literature review, restate your main objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.
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To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasize again what you aim to contribute and why it matters.
For example, your results might have implications for:
Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .
Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.
Here’s an example schedule to help you get started. You can also download a template at the button below.
Download our research schedule template
Research phase | Objectives | Deadline |
---|---|---|
1. Background research and literature review | 20th January | |
2. Research design planning | and data analysis methods | 13th February |
3. Data collection and preparation | with selected participants and code interviews | 24th March |
4. Data analysis | of interview transcripts | 22nd April |
5. Writing | 17th June | |
6. Revision | final work | 28th July |
If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.
Make sure to check what type of costs the funding body will agree to cover. For each item, include:
To determine your budget, think about:
If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.
Methodology
Statistics
Research bias
Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .
Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.
I will compare …
A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.
Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.
A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.
A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.
A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.
All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.
Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.
Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.
The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.
If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.
McCombes, S. & George, T. (2023, November 21). How to Write a Research Proposal | Examples & Templates. Scribbr. Retrieved August 29, 2024, from https://www.scribbr.com/research-process/research-proposal/
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What is a research proposal.
A research proposal should present your idea or question and expected outcomes with clarity and definition – the what.
It should also make a case for why your question is significant and what value it will bring to your discipline – the why.
What it shouldn't do is answer the question – that's what your research will do.
Research proposals are significant because Another reason why it formally outlines your intended research. Which means you need to provide details on how you will go about your research, including:
Think of it as a tool that will help you clarify your idea and make conducting your research easier.
Usually no more than 2000 words, but check the requirements of your degree, and your supervisor or research coordinator.
Presenting your idea clearly and concisely demonstrates that you can write this way – an attribute of a potential research candidate that is valued by assessors.
Project title.
Your title should clearly indicate what your proposed research is about.
State the name, department and faculty or school of the academic who has agreed to supervise you. Rest assured, your research supervisor will work with you to refine your research proposal ahead of submission to ensure it meets the needs of your discipline.
Describe your proposed mode of research. Which may be closely linked to your discipline, and is where you will describe the style or format of your research, e.g. data, field research, composition, written work, social performance and mixed media etc.
This is not required for research in the sciences, but your research supervisor will be able to guide you on discipline-specific requirements.
What are you trying to achieve with your research? What is the purpose? This section should reference why you're applying for a research degree. Are you addressing a gap in the current research? Do you want to look at a theory more closely and test it out? Is there something you're trying to prove or disprove? To help you clarify this, think about the potential outcome of your research if you were successful – that is your aim. Make sure that this is a focused statement.
Your objectives will be your aim broken down – the steps to achieving the intended outcome. They are the smaller proof points that will underpin your research's purpose. Be logical in the order of how you present these so that each succeeds the previous, i.e. if you need to achieve 'a' before 'b' before 'c', then make sure you order your objectives a, b, c.
A concise summary of what your research is about. It outlines the key aspects of what you will investigate as well as the expected outcomes. It briefly covers the what, why and how of your research.
A good way to evaluate if you have written a strong synopsis, is to get somebody to read it without reading the rest of your research proposal. Would they know what your research is about?
Now that you have your question clarified, it is time to explain the why. Here, you need to demonstrate an understanding of the current research climate in your area of interest.
Providing context around your research topic through a literature review will show the assessor that you understand current dialogue around your research, and what is published.
Demonstrate you have a strong understanding of the key topics, significant studies and notable researchers in your area of research and how these have contributed to the current landscape.
In this section, you should consider the following:
Draw links between your research and the faculty or school you are applying at, and explain why you have chosen your supervisor, and what research have they or their school done to reinforce and support your own work. Cite these reasons to demonstrate how your research will benefit and contribute to the current body of knowledge.
Provide an overview of the methodology and techniques you will use to conduct your research. Cover what materials and equipment you will use, what theoretical frameworks will you draw on, and how will you collect data.
Highlight why you have chosen this particular methodology, but also why others may not have been as suitable. You need to demonstrate that you have put thought into your approach and why it's the most appropriate way to carry out your research.
It should also highlight potential limitations you anticipate, feasibility within time and other constraints, ethical considerations and how you will address these, as well as general resources.
A work plan is a critical component of your research proposal because it indicates the feasibility of completion within the timeframe and supports you in achieving your objectives throughout your degree.
Consider the milestones you aim to achieve at each stage of your research. A PhD or master's degree by research can take two to four years of full-time study to complete. It might be helpful to offer year one in detail and the following years in broader terms. Ultimately you have to show that your research is likely to be both original and finished – and that you understand the time involved.
Provide details of the resources you will need to carry out your research project. Consider equipment, fieldwork expenses, travel and a proposed budget, to indicate how realistic your research proposal is in terms of financial requirements and whether any adjustments are needed.
Provide a list of references that you've made throughout your research proposal.
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How to write a phd research proposal.
In order to help you with your application, the information below aims to give some guidance on how a typical research proposal might look.
Your research proposal is a concise statement (up to 3,000 words) of the rationale for your research proposal, the research questions to be answered and how you propose to address them. We know that during the early stages of your PhD you are likely to refine your thinking and methodology in discussion with your supervisors.
However, we want to see that you can construct a fairly rigorous, high quality research proposal.
We use your research proposal to help us decide whether you would be a suitable candidate to study at PhD level. We therefore assess your proposal on its quality, originality, and coherence. It also helps us to decide if your research interests match those of academics in the School of Sociology, Politics and International Studies (SPAIS) and whether they would be able to provide suitably qualified supervision for your proposed research.
Your proposal should include the following:
Title. A short, indicative title is best.
Abstract. This is a succinct summary of your research proposal (approximately 200-300 words) that will present a condensed outline, enabling the reader to get a very quick overview of your proposed project, lines of inquiry and possible outcomes. An abstract is often written last, after you have written the proposal and are able to summarise it effectively.
Rationale for the research project. This might include a description of the question/debate/phenomenon of interest; an explanation of why the topic is of interest to you; and an outline of the reasons why the topic should be of interest to research and/ or practice (the 'so what?' question).
Aims and initial research question. What are the aims and objectives of the research? State clearly the puzzle you are addressing, and the research question that you intend to pursue. It is acceptable to have multiple research questions, but it is a good idea to clarify which is the main research question. If you have hypotheses, discuss them here. A research proposal can and should make a positive and persuasive first impression and demonstrate your potential to become a good researcher. In particular, you need to demonstrate that you can think critically and analytically as well as communicate your ideas clearly.
Research context for your proposed project. Provide a short introduction to your area of interest with a succinct, selective and critical review of the relevant literature. Demonstrate that you understand the theoretical underpinnings and main debates and issues in your research area and how your proposed research will make an original and necessary contribution to this. You need to demonstrate how your proposed research will fill a gap in existing knowledge.
Intended methodology. Outline how you plan to conduct the research and the data sources that you will use. We do not expect you to have planned a very detailed methodology at this stage, but you need to provide an overview of how you will conduct your research (qualitative and/or quantitative methods) and why this methodology is suited for your proposed study. You need to be convincing about the appropriateness and feasibility of the approaches you are suggesting, and reflective about problems you might encounter (including ethical and data protection issues) in collecting and analysing your data.
Expected outcomes and impact. How do you think the research might add to existing knowledge; what might it enable organisations or interested parties to do differently? Increasingly in academia (and this is particularly so for ESRC-funded studentships), PhD students are being asked to consider how their research might contribute to both academic impact and/or economic and societal impact. (This is well explained on the ESRC website if you would like to find out more.) Please consider broader collaborations and partnerships (academic and non-academic) that will support your research. Collaborative activity can lead to a better understanding of the ways in which academic research can translate into practice and it can help to inform and improve the quality of your research and its impact.
Timetable. What is your initial estimation of the timetable of the dissertation? When will each of the key stages start and finish (refining proposal; literature review; developing research methods; fieldwork; analysis; writing the draft; final submission). There are likely to overlaps between the stages.
Why Bristol? Why – specifically – do you want to study for your PhD at Bristol ? How would you fit into the School's research themes and research culture . You do not need to identify supervisors at the application stage although it can be helpful if you do.
Bibliography. Do make sure that you cite what you see as the key readings in the field. This does not have to be comprehensive but you are illustrating the range of sources you might use in your research.
We expect your research proposal to be clear, concise and grammatically correct. Prior to submitting your research proposal, please make sure that you have addressed the following issues:
Doctoral handbook
On this page:
Proposal committee, proposal hearing or meeting.
Students are urged to begin thinking about a dissertation topic early in their degree program. Concentrated work on a dissertation proposal normally begins after successful completion of the Second-Year Review, which often includes a “mini” proposal, an extended literature review, or a theoretical essay, plus advancement to doctoral candidacy. In defining a dissertation topic, the student collaborates with their faculty advisor or dissertation advisor (if one is selected) in the choice of a topic for the dissertation.
The dissertation proposal is a comprehensive statement on the extent and nature of the student’s dissertation research interests. Students submit a draft of the proposal to their dissertation advisor between the end of the seventh and middle of the ninth quarters. The student must provide a written copy of the proposal to the faculty committee no later than two weeks prior to the date of the proposal hearing. Committee members could require an earlier deadline (e.g., four weeks before the hearing).
The major components of the proposal are as follows, with some variations across Areas and disciplines:
Registration (i.e., enrollment) is required for any quarter during which a degree requirement is completed, including the dissertation proposal. Refer to the Registration or Enrollment for Milestone Completion section for more details.
As students progress through the program, their interests may change. There is no commitment on the part of the student’s advisor to automatically serve as the dissertation chair. Based on the student’s interests and the dissertation topic, many students approach other GSE professors to serve as the dissertation advisor, if appropriate.
A dissertation proposal committee is comprised of three academic council faculty members, one of whom will serve as the major dissertation advisor. Whether or not the student’s general program advisor serves on the dissertation proposal committee and later the reading committee will depend on the relevance of that faculty member’s expertise to the topic of the dissertation, and their availability. There is no requirement that a program advisor serve, although very often they do. Members of the dissertation proposal committee may be drawn from other area committees within the GSE, from other departments in the University, or from emeriti faculty. At least one person serving on the proposal committee must be from the student’s area committee (CTE, DAPS, SHIPS). All three members must be on the Academic Council; if the student desires the expertise of a non-Academic Council member, it may be possible to petition. After the hearing, a memorandum listing the changes to be made will be written and submitted with the signed proposal cover sheet and a copy of the proposal itself to the Doctoral Programs Officer.
Review and approval of the dissertation proposal occurs normally during the third year. The proposal hearing seeks to review the quality and feasibility of the proposal. The Second-Year Review and the Proposal Hearing are separate milestones and may not occur as part of the same hearing or meeting.
The student and the dissertation advisor are responsible for scheduling a formal meeting or hearing to review the proposal; the student and proposal committee convene for this evaluative period. Normally, all must be present at the meeting either in person or via conference phone call.
At the end of this meeting, the dissertation proposal committee members should sign the Cover Sheet for Dissertation Proposal and indicate their approval or rejection of the proposal. This signed form should be submitted to the Doctoral Programs Officer. If the student is required to make revisions, an addendum is required with the written approval of each member of the committee stating that the proposal has been revised to their satisfaction.
After submitting the Proposal Hearing material to the Doctoral Programs Officer, the student should make arrangements with three faculty members to serve on their Dissertation Reading Committee. The Doctoral Dissertation Reading Committee form should be completed and given to the Doctoral Programs Officer to enter in the University student records system. Note: The proposal hearing committee and the reading committee do not have to be the same three faculty members. Normally, the proposal hearing precedes the designation of a Dissertation Reading Committee, and faculty on either committee may differ (except for the primary dissertation advisor). However, some students may advance to Terminal Graduate Registration (TGR) status before completing their dissertation proposal hearing if they have established a dissertation reading committee. In these cases, it is acceptable for the student to form a reading committee prior to the dissertation proposal hearing. The reading committee then serves as the proposal committee.
The proposal and reading committee forms and related instructions are on the GSE website, under current students>forms.
Upon completion of their doctoral dissertation proposal, GSE students are eligible for a $300 printing credit redeemable in any of the GSE computer labs where students are normally charged for print jobs. Only one $300 credit per student will be issued, but it is usable throughout the remainder of her or his doctoral program until the balance is exhausted. The print credit can be used only at the printers in Cubberley basement and CERAS, and cannot be used toward copying.
After submitting the signed dissertation proposal cover sheet to the Doctoral Programs Officer indicating approval (see above), students can submit a HELP SU ticket online at helpsu.stanford.edu to request the credit. When submitting the help ticket, the following should be selected from the drop-down menus for HELP SU:
Request Category : Computer, Handhelds (PDAs), Printers, Servers Request Type : Printer Operating System : (whatever system is used by the student, e.g., Windows XP.)
The help ticket will be routed to the GSE's IT Group for processing; they will in turn notify the student via email when the credit is available.
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MA POLS and MA/PP students, please contact
EDS, ICE/IEPA, Individually Designed, LDT, MA/JD, MA/MBA students, please contact
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The dynamics of hyperinflation and stabilization policies – the case of zimbabwe.
The dynamics of hyperinflation and stabilization policies
The running of the country can be viewed commercially as a business enterprise by the economists. The business needs to be run in equilibrium; a balance between supply and demand must be stricken if the entrepreneur or the owner of the enterprise is to enjoy any benefits accrued by running a business. In the case of a country, it should be governed in a way that that the prices of goods and services are kept in control. The stakeholders must not let the prices escalate beyond the ability of a typical citizen. Similarly, the release of cash into the economy should be maintained so that the flow of money is monitored and controlled, hence preserving the value of that particular currency.
This proposal will dig into inflation and find out how inflation has affected economies of a country, in particular, Zimbabwe and the ways to stabilize this condition. The dynamics of hyperinflation will also be looked into in detail to bring out the real picture and the damages it causes to an economy. The proposal will also focus on the causes of inflation in Zimbabwe and the how the theories of hyperinflation have applied in this context. The proposal will also look at the quantity theory of money and how it is associated with hyperinflation.
Introduction
Hyperinflation can be defined as a situation where the prices of goods and services escalate beyond control that the concept of inflation is an understatement. Economically, hyperinflation can be defined to occur when the total inflation over a period of three years is equivalent or exceeds 100%. Countries in hyperinflation usually experience rapid erosion of the real value of local currency prompting the population to hold a relatively stable foreign currency.
Hyperinflation makes the prices of goods and services in an economy to rise rapidly since the value of the local currency loses the real value quickly. Zimbabwe has experienced hyperinflation since 2001 with inflation rates over a whopping 100%. However, as from 2006, inflation in Zimbabwe has risen to an uncontrollable 1500% annually. It should be observed that Zimbabwe was the only country that was experiencing hyperinflation and the first in the 21st century to have hyperinflation. Inflation in Zimbabwe has been perceived in two ways. First, the private sector speculation which the Zimbabwean authorities argue that the private sector rises up the prices intentionally to maximize profits on to pile pressure on the economy through ruthless price increments.
Secondly, the authorities also believe that the withdrawal of aids and the international economic sanctions have led to an economic decline from the year 2000. This perception has the explanation that the printing and minting of excess money by the government is usually tailored to bridge the gap between the government revenue and the actual receipts. This proposal to examine these concepts in depth.
Literature review
In this section, the Cagan (1956) hyperinflation model will be examined, where he assessed the statistical connection between cash and changes in price by conducting instances of hyperinflation in six different countries across Europe. According to Cagan, the demand for money balances declined with increase in inflation, assuming inflation played a significant role in determining hyperinflation.
Milton Friedman bases his view of hyperinflation in quantity theory of money. This theory states that the relationship between money and the price level is directly proportional. This relationship implies that inflation will increase with an increase in money supply and the continued trend will lead to hyperinflation. In Zimbabwe, the supply of money and the prices of goods and services increased in tandem, as per the quantity theory of money because people opted to use the available cash immediately, rather than to wait on the depreciating cash. This, in turn, led to the increase of velocity as well as an increase of money through the printing of new currency, hence the exponential increase in prices of goods and services in Zimbabwe.
Methodology
This proposal will seek to clarify the mechanisms through which money, the setting of price behavior and the requirements of government revenue collaborate in Zimbabwe, to examine the explanations put forth by the authorities about the hyperinflation in Zimbabwe. To achieve this goal, the proposal will look at various models and tests that will lead to the understanding of the hyperinflation.
Granger causality test
In general, it is obvious that money engenders the rate of inflation, but the reverse could also be claimed to be true. It can be said that hyperinflation has self-perpetuating tendencies, due to the fact that the rise in prices of goods and services results in the rise in demand for nominal cash. Thus, causation develops from inflation to supply of money. This test investigates the amount of the existing value of money and premium is a utilizable component in the prediction of inflation.
Theoretical model
This model provides the classical quantity theory of money which believes that institutional factors determine the rate of money circulation. The economy is assumed to be or close to the real GDP. In this case, the growth of money does not have an effect in the real GDP. This implies that holding both variables constant, the growth rate of money is directly proportional to the rate of inflation. Inflation reduces money demand due to an increase in the opportunity cost of holding money. Hyperinflation in Zimbabwe increased the parallel market premium and consequently, a change in the parallel market premium affected the velocity of cash in the circulation. The data used here was derived from various sources including the website of the RBZ.
The inflation data and money supply were collected from RBZ while parallel exchange rate was collected from Carmen M. Reinhart, a Harvard Kennedy School Professor of the International Financial System. The methodology in this paper employs heavily the ARDL co-integration approach for investigating the relationship between the inflation and its determinants. ARDL was used because it has several advantages over other models of co-integration. ARDL can be used with time series data, can also be employed in a general-to-specific modeling by including insufficient numbers to lags for the data generating and error correction model (ECM) can be derived using ARDL co-integration model.
Theoretical/conceptual framework
Lagged change in the inflation and money supply growth are insignificant in the ARDL framework. Moreover, the ever-increasing prices are not unsustainable in the long-run; hence using the concept of long-run relations could give incorrect results. Zimbabwe had almost all her prices listed in foreign currencies which fully wrote off inflation inertia. In this case, an exchange rate is a useful tool for curbing inflation rates thereby making stabilization of hyperinflation less costly in comparison to moderate methods of dealing with hyperinflation. Through Ordinary Least Squares method, hyperinflation in Zimbabwe is said o have been caused by the rapid growth of paper money. The money demand model will seek to find out if this result is consistent. Additionally, a unit increase in the parallel market premium will result in an equivalent change in inflation.
High rates of interest will deter borrowing and foster saving, slowing the economy and hence disinflationary effects. The Treasury bill by the Zimbabwe government had turned the interest rates negative and this manipulation discouraged savings by the households. As per the Quantity Theory of money, hyperinflation in Zimbabwe could have been a monetary phenomenon and the only way to curb it would be to constrain the unnecessary money supply growth.
Research plan
Hyperinflation in Zimbabwe had severe adverse effects on the economy in regard to wealth, savings and deposits. Prices of essential goods and services became unreachable, especially to those on inflexible incomes. Countermeasures including price controls and foreign currencies ban to control the then escalating levels of inflation and the devaluation of the Zimbabwean currency were taken. Zimbabwe’s hyperinflation was at its peak when the government compelled the RBZ to issue banknotes of higher denominations, hence fuelling the rate of inflation. The Zimbabwean dollar value diminished at a faster rate and the RBZ could not keep up with the printing. This led to the abandonment of the Zimbabwean dollar in favor of the US dollar as well as the SA Rand.
This study aimed at finding the causes of hyperinflation in Zimbabwe by using the right econometric models. Its main aim is to find out if the growth of money has a positive effect on inflation. Additionally, it will be aimed at finding out whether the parallel market premium is directly proportional to the growth of inflation. Whether money supply is the primary driver of hyperinflation in Zimbabwe, the findings of the research will provide the answer.
Works cited
BBC News,. ‘Zimbabwe Abandons Its Currency’. N.p., 2014. Web. 29 Dec. 2014.
Cato Institute,. ‘Measurements of Zimbabwe’s Hyperinflation’. N.p., 2014. Web. 29 Dec. 2014.
Larochelle, C., J. Alwang, and N. Taruvinga. ‘Inter-Temporal Changes In Well-Being During Conditions Of Hyperinflation: Evidence From Zimbabwe’. Journal of African Economies 23.2 (2014): 225-256. Web.
McIndoe Calder, Tara. ‘Hyperinflation In Zimbabwe: Money Demand, Seigniorage And Aid Shocks’. SSRN Journal n. pag. Web.
Makochekanwa, A. ‘A Dynamic Enquiry Into The Causes Of Hyperinflation In Zimbabwe’. The University of Pretoria, Department of Economics (2007): n. pag. Print. Reserve Bank of Zimbabwe (RBZ),. ‘Bank Annual Reports From 2000-2008’. N.p., 2008. Web. 29 Dec. 2014
Sokic, Alexandre. ‘The Monetary Analysis Of Hyperinflation And The Appropriate Specification Of The Demand For Money’. German Economic Review 13.2 (2011): 142-160. Web.
Works, Anchor. ‘Data’. Carmenreinhart.com. N.p., 2014. Web. 29 Dec. 2014.
You can also take a look at our guide for writing an interpretive thesis if you feel like you’re struggling to write on your own. So check it out! You can also find out more helpful examples of research proposals if you contact us.
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Aims and objectives.
The proposed study’s primary aim is to examine how ICT deployments in educational institutions can be made sustainable to aid ELT instructors in English language instruction in the UAE. To achieve this aim, the proposed study has developed the following primary research question;
How can ICT efforts in tertiary level education be made sustainable for English language training?
The primary research question is accompanied by the following secondary research questions answered in the proposed study.
1. What is the extent of educational technology integration in English language teaching at the Tertiary Level in the UAE, and what factors contributed to the adoption of educational technologies to facilitate ELT practices?
2. Has the use of technology improved the overall English language learning experiences of the students?
3. What is the impact of using educational technology on teachers; what are their experiences, and how has this changed their perceptions, attitudes, and beliefs about the teaching and learning process?
4. What is the future of educational technology as a strategy for enhancing English learning processes in the UAE?
The research question and aim will be achieved through achieving the following objectives;
1. Use primary and secondary research to collect data and information on the proposed topic of study.
2. Examine how ICT can be made sustainable in cost, policy, resources, and re-purpose.
3. Analyse the instructor’s experience of using ICT in English language training.
4. Examine factors that facilitated the adoption of educational technologies to promote ELT practice in the tertiary level English language learning institutions in the UAE
The United Arab Emirates (UAE) is placed strategically for trade, allowing multiple languages to thrive in its vicinity. English medium instruction is one of the core concepts upheld in federally funded tertiary education institutes (Rogier, 2012). To extend and provide improved English instruction, it is essential to incorporate ICT and other technologies for teaching and learning the English language.
Sustainability is often described as an education ecosystem’s ability to maintain scholastic processes, functions, diversity, and productivity into the future. To look at it at a practical level, ELT faculty needs to introduce information and communication technologies in existing educational ecosystems so that they may absorb it and own the change (Howard et al., 2016).
As per the current understanding, no literature examines sustainable technology integration in English language training in the UAE (Howard et al., 2016). The current status of technology/ICT can be reviewed at the tertiary level to recommend strategies that further its beneficial use by conducting the proposed study. It is also essential to investigate how ELT faculty in the UAE can use ICT for training students in the English language.
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Research design.
The proposed research looks to adopt a qualitative phenomenological case study approach. The phenomenological method is used to understand the topic of interest from the everyday knowledge and perceptions of specific respondent groups (Vinke et al., 1998). By using this approach, researchers have an initial understanding of the topic. They are interested in developing an in-depth comprehension or clarification of potentially conflicting or equivocal information from previous data (Stake, 1995).
Denscombe (2004) argues that it is not primarily concerned with explaining the causes of things; instead, it describes how things are experienced first-hand by the typical world. Yin (2003) argues that the case study is a particular style of educational research appropriate for investigating professional development instructors and teachers’ concepts. Stake (1995) asserts the benefit of using a qualitative case study methodology, which arises from emphasising each case’s uniqueness and the educator’s subjective experience.
The proposed research intends to explore the different perspectives of professionals in teaching at the tertiary level in the UAE regarding their experiences as ELT faculty and how technology and ICT use in education can enhance English language learning. The focus group interview will be used in the current study to collect data from a diverse group of people.
Freebody (2004) asserts that the use of focus groups in education research gives opportunities to compare and contrast interpretations, develop unforeseen findings, and aids in exploring findings that would either be considered anomalous or disconfirming of initial impressions. Lindlof and Taylor (2002) argue that group discussions produce data and insight that would be less accessible without interaction in group settings. Listening to others verbalise experiences stimulates memories, ideas, and experiences in those participating.
The proposed study looks to use purposive sampling when choosing the school and the focus group participants, a strategy used by Punch (2005). The tertiary school selected for the proposed research will be chosen based on the staff experience in working as ELT faculty and having experience with using technology for education. Recommendations for selecting the school will also be taken by several tertiary level teachers working at institutions in the UAE.
The study proposes to have ten focus group interviews that will last one hour. Based on the availability of participants, the total number of people interviewed will be determined. However, it is proposed to use fifty (50) participants to take part in the groups. Participants will be included in the focus group if they are ELT faculty at the education institution and have had experience using technology/ICT for English language instruction, particularly in UAE.
The proposed study will use thematic analysis to evaluate the data obtained. Thematic analysis is used to identify, analyse, and report patterns or themes within data (Braun and Clarke, 2006). The analysis technique minimally organises and describes the data set in rich detail. It further interprets various aspects of the research topic (Braun and Clarke, 2006).
Denscombe, M. (2004) The Good Research Guide For Small Scale Social Research Projects. (2nd Edn) Berkshire: Open University Press.
Freebody, P. (2004) Qualitative Research in Education-Interaction and Practice. London: Sage Publishers.
Howard, A., Basurto-Santos, N. M., Gimenez, T., Moncada, A. M. G., McMurray, M., and Traish, A. (2016). A comparative study of English language teacher recruitment, in-service education, and retention in Latin American and the Middle East. British Council. ELT Research Papers 16.02, 3-72.
Lindlof, T. R., & Taylor, B. C. (2002). Qualitative Communication Research Methods, 2nd Edition. Thousand Oaks, CA: Sage.
Punch, K. (2005) Introduction to Social Research: Quantitative and Qualitative Approaches. London: Sage Publishers.
Rogier, D. (2012). The effects of English-Medium instruction on the language proficiency of students enrolled in higher education in the UAE. Exeter University, student dissertation.
Stake, R.E. (1995). The Art Of Case Study Research. Thousand Oaks, CA: Sage.
Vinke, A.A., Snippe, J., & Jochems, W. (1998). English-medium content courses in non-English higher education: A study of lecturer experiences and teaching behaviours. Teaching in Higher Education, 3(3), 383-394.
Yin, R.K. (2003). Case Study Research: Design and Methods. Thousand Oaks, CA; London: Sage Publications
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BMC Medical Education volume 24 , Article number: 927 ( 2024 ) Cite this article
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The disruption of health and medical education by the COVID-19 pandemic made educators question the effect of online setting on students’ learning, motivation, self-efficacy and preference. In light of the health care staff shortage online scalable education seemed relevant. Reviews on the effect of online medical education called for high quality RCTs, which are increasingly relevant with rapid technological development and widespread adaption of online learning in universities. The objective of this trial is to compare standardized and feasible outcomes of an online and an onsite setting of a research course regarding the efficacy for PhD students within health and medical sciences: Primarily on learning of research methodology and secondly on preference, motivation, self-efficacy on short term and academic achievements on long term. Based on the authors experience with conducting courses during the pandemic, the hypothesis is that student preferred onsite setting is different to online setting.
Cluster randomized trial with two parallel groups. Two PhD research training courses at the University of Copenhagen are randomized to online (Zoom) or onsite (The Parker Institute, Denmark) setting. Enrolled students are invited to participate in the study. Primary outcome is short term learning. Secondary outcomes are short term preference, motivation, self-efficacy, and long-term academic achievements. Standardized, reproducible and feasible outcomes will be measured by tailor made multiple choice questionnaires, evaluation survey, frequently used Intrinsic Motivation Inventory, Single Item Self-Efficacy Question, and Google Scholar publication data. Sample size is calculated to 20 clusters and courses are randomized by a computer random number generator. Statistical analyses will be performed blinded by an external statistical expert.
Primary outcome and secondary significant outcomes will be compared and contrasted with relevant literature. Limitations include geographical setting; bias include lack of blinding and strengths are robust assessment methods in a well-established conceptual framework. Generalizability to PhD education in other disciplines is high. Results of this study will both have implications for students and educators involved in research training courses in health and medical education and for the patients who ultimately benefits from this training.
Retrospectively registered at ClinicalTrials.gov: NCT05736627. SPIRIT guidelines are followed.
Peer Review reports
Medical education was utterly disrupted for two years by the COVID-19 pandemic. In the midst of rearranging courses and adapting to online platforms we, with lecturers and course managers around the globe, wondered what the conversion to online setting did to students’ learning, motivation and self-efficacy [ 1 , 2 , 3 ]. What the long-term consequences would be [ 4 ] and if scalable online medical education should play a greater role in the future [ 5 ] seemed relevant and appealing questions in a time when health care professionals are in demand. Our experience of performing research training during the pandemic was that although PhD students were grateful for courses being available, they found it difficult to concentrate related to the long screen hours. We sensed that most students preferred an onsite setting and perceived online courses a temporary and inferior necessity. The question is if this impacted their learning?
Since the common use of the internet in medical education, systematic reviews have sought to answer if there is a difference in learning effect when taught online compared to onsite. Although authors conclude that online learning may be equivalent to onsite in effect, they agree that studies are heterogeneous and small [ 6 , 7 ], with low quality of the evidence [ 8 , 9 ]. They therefore call for more robust and adequately powered high-quality RCTs to confirm their findings and suggest that students’ preferences in online learning should be investigated [ 7 , 8 , 9 ].
This uncovers two knowledge gaps: I) High-quality RCTs on online versus onsite learning in health and medical education and II) Studies on students’ preferences in online learning.
Recently solid RCTs have been performed on the topic of web-based theoretical learning of research methods among health professionals [ 10 , 11 ]. However, these studies are on asynchronous courses among medical or master students with short term outcomes.
This uncovers three additional knowledge gaps: III) Studies on synchronous online learning IV) among PhD students of health and medical education V) with long term measurement of outcomes.
The rapid technological development including artificial intelligence (AI) and widespread adaption as well as application of online learning forced by the pandemic, has made online learning well-established. It represents high resolution live synchronic settings which is available on a variety of platforms with integrated AI and options for interaction with and among students, chat and break out rooms, and exterior digital tools for teachers [ 12 , 13 , 14 ]. Thus, investigating online learning today may be quite different than before the pandemic. On one hand, it could seem plausible that this technological development would make a difference in favour of online learning which could not be found in previous reviews of the evidence. On the other hand, the personal face-to-face interaction during onsite learning may still be more beneficial for the learning process and combined with our experience of students finding it difficult to concentrate when online during the pandemic we hypothesize that outcomes of the onsite setting are different from the online setting.
To support a robust study, we design it as a cluster randomized trial. Moreover, we use the well-established and widely used Kirkpatrick’s conceptual framework for evaluating learning as a lens to assess our outcomes [ 15 ]. Thus, to fill the above-mentioned knowledge gaps, the objective of this trial is to compare a synchronous online and an in-person onsite setting of a research course regarding the efficacy for PhD students within the health and medical sciences:
Primarily on theoretical learning of research methodology and
Secondly on
◦ Preference, motivation, self-efficacy on short term
◦ Academic achievements on long term
This study protocol covers synchronous online and in-person onsite setting of research courses testing the efficacy for PhD students. It is a two parallel arms cluster randomized trial (Fig. 1 ).
Consort flow diagram
The study measures baseline and post intervention. Baseline variables and knowledge scores are obtained at the first day of the course, post intervention measurement is obtained the last day of the course (short term) and monthly for 24 months (long term).
Randomization is stratified giving 1:1 allocation ratio of the courses. As the number of participants within each course might differ, the allocation ratio of participants in the study will not fully be equal and 1:1 balanced.
The study site is The Parker Institute at Bispebjerg and Frederiksberg Hospital, University of Copenhagen, Denmark. From here the courses are organized and run online and onsite. The course programs and time schedules, the learning objective, the course management, the lecturers, and the delivery are identical in the two settings. The teachers use the same introductory presentations followed by training in break out groups, feed-back and discussions. For the online group, the setting is organized as meetings in the online collaboration tool Zoom® [ 16 ] using the basic available technicalities such as screen sharing, chat function for comments, and breakout rooms and other basics digital tools if preferred. The online version of the course is synchronous with live education and interaction. For the onsite group, the setting is the physical classroom at the learning facilities at the Parker Institute. Coffee and tea as well as simple sandwiches and bottles of water, which facilitate sociality, are available at the onsite setting. The participants in the online setting must get their food and drink by themselves, but online sociality is made possible by not closing down the online room during the breaks. The research methodology courses included in the study are “Practical Course in Systematic Review Technique in Clinical Research”, (see course programme in appendix 1) and “Getting started: Writing your first manuscript for publication” [ 17 ] (see course programme in appendix 2). The two courses both have 12 seats and last either three or three and a half days resulting in 2.2 and 2.6 ECTS credits, respectively. They are offered by the PhD School of the Faculty of Health and Medical Sciences, University of Copenhagen. Both courses are available and covered by the annual tuition fee for all PhD students enrolled at a Danish university.
Inclusion criteria for participants: All PhD students enrolled on the PhD courses participate after informed consent: “Practical Course in Systematic Review Technique in Clinical Research” and “Getting started: Writing your first manuscript for publication” at the PhD School of the Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
Exclusion criteria for participants: Declining to participate and withdrawal of informed consent.
The PhD students at the PhD School at the Faculty of Health Sciences, University of Copenhagen participate after informed consent, taken by the daily project leader, allowing evaluation data from the course to be used after pseudo-anonymization in the project. They are informed in a welcome letter approximately three weeks prior to the course and again in the introduction the first course day. They register their consent on the first course day (Appendix 3). Declining to participate in the project does not influence their participation in the course.
Online course settings will be compared to onsite course settings. We test if the onsite setting is different to online. Online learning is increasing but onsite learning is still the preferred educational setting in a medical context. In this case onsite learning represents “usual care”. The online course setting is meetings in Zoom using the technicalities available such as chat and breakout rooms. The onsite setting is the learning facilities, at the Parker Institute, Bispebjerg and Frederiksberg Hospital, The Capital Region, University of Copenhagen, Denmark.
The course settings are not expected to harm the participants, but should a request be made to discontinue the course or change setting this will be met, and the participant taken out of the study. Course participants are allowed to take part in relevant concomitant courses or other interventions during the trial.
Course participants are motivated to complete the course irrespectively of the setting because it bears ECTS-points for their PhD education and adds to the mandatory number of ECTS-points. Thus, we expect adherence to be the same in both groups. However, we monitor their presence in the course and allocate time during class for testing the short-term outcomes ( motivation, self-efficacy, preference and learning). We encourage and, if necessary, repeatedly remind them to register with Google Scholar for our testing of the long-term outcome (academic achievement).
Outcomes are related to the Kirkpatrick model for evaluating learning (Fig. 2 ) which divides outcomes into four different levels; Reaction which includes for example motivation, self-efficacy and preferences, Learning which includes knowledge acquisition, Behaviour for practical application of skills when back at the job (not included in our outcomes), and Results for impact for end-users which includes for example academic achievements in the form of scientific articles [ 18 , 19 , 20 ].
The Kirkpatrick model
The primary outcome is short term learning (Kirkpatrick level 2).
Learning is assessed by a Multiple-Choice Questionnaire (MCQ) developed prior to the RCT specifically for this setting (Appendix 4). First the lecturers of the two courses were contacted and asked to provide five multiple choice questions presented as a stem with three answer options; one correct answer and two distractors. The questions should be related to core elements of their teaching under the heading of research training. The questions were set up to test the cognition of the students at the levels of "Knows" or "Knows how" according to Miller's Pyramid of Competence and not their behaviour [ 21 ]. Six of the course lecturers responded and out of this material all the questions which covered curriculum of both courses were selected. It was tested on 10 PhD students and within the lecturer group, revised after an item analysis and English language revised. The MCQ ended up containing 25 questions. The MCQ is filled in at baseline and repeated at the end of the course. The primary outcomes based on the MCQ is estimated as the score of learning calculated as number of correct answers out of 25 after the course. A decrease of points of the MCQ in the intervention groups denotes a deterioration of learning. In the MCQ the minimum score is 0 and 25 is maximum, where 19 indicates passing the course.
Furthermore, as secondary outcome, this outcome measurement will be categorized as binary outcome to determine passed/failed of the course defined by 75% (19/25) correct answers.
The learning score will be computed on group and individual level and compared regarding continued outcomes by the Mann–Whitney test comparing the learning score of the online and onsite groups. Regarding the binomial outcome of learning (passed/failed) data will be analysed by the Fisher’s exact test on an intention-to-treat basis between the online and onsite. The results will be presented as median and range and as mean and standard deviations, for possible future use in meta-analyses.
Motivation assessment post course: Motivation level is measured by the Intrinsic Motivation Inventory (IMI) Scale [ 22 ] (Appendix 5). The IMI items were randomized by random.org on the 4th of August 2022. It contains 12 items to be assessed by the students on a 7-point Likert scale where 1 is “Not at all true”, 4 is “Somewhat true” and 7 is “Very true”. The motivation score will be computed on group and individual level and will then be tested by the Mann–Whitney of the online and onsite group.
Self-efficacy assessment post course: Self-efficacy level is measured by a single-item measure developed and validated by Williams and Smith [ 23 ] (Appendix 6). It is assessed by the students on a scale from 1–10 where 1 is “Strongly disagree” and 10 is “Strongly agree”. The self-efficacy score will be computed on group and individual level and tested by a Mann–Whitney test to compare the self-efficacy score of the online and onsite group.
Preference assessment post course: Preference is measured as part of the general course satisfaction evaluation with the question “If you had the option to choose, which form would you prefer this course to have?” with the options “onsite form” and “online form”.
Academic achievement assessment is based on 24 monthly measurements post course of number of publications, number of citations, h-index, i10-index. This data is collected through the Google Scholar Profiles [ 24 ] of the students as this database covers most scientific journals. Associations between onsite/online and long-term academic will be examined with Kaplan Meyer and log rank test with a significance level of 0.05.
Enrolment for the course at the Faculty of Health Sciences, University of Copenhagen, Denmark, becomes available when it is published in the course catalogue. In the course description the course location is “To be announced”. Approximately 3–4 weeks before the course begins, the participant list is finalized, and students receive a welcome letter containing course details, including their allocation to either the online or onsite setting. On the first day of the course, oral information is provided, and participants provide informed consent, baseline variables, and base line knowledge scores.
The last day of scheduled activities the following scores are collected, knowledge, motivation, self-efficacy, setting preference, and academic achievement. To track students' long term academic achievements, follow-ups are conducted monthly for a period of 24 months, with assessments occurring within one week of the last course day (Table 1 ).
The power calculation is based on the main outcome, theoretical learning on short term. For the sample size determination, we considered 12 available seats for participants in each course. To achieve statistical power, we aimed for 8 clusters in both online and onsite arms (in total 16 clusters) to detect an increase in learning outcome of 20% (learning outcome increase of 5 points). We considered an intraclass correlation coefficient of 0.02, a standard deviation of 10, a power of 80%, and a two-sided alpha level of 5%. The Allocation Ratio was set at 1, implying an equal number of subjects in both online and onsite group.
Considering a dropout up to 2 students per course, equivalent to 17%, we determined that a total of 112 participants would be needed. This calculation factored in 10 clusters of 12 participants per study arm, which we deemed sufficient to assess any changes in learning outcome.
The sample size was estimated using the function n4means from the R package CRTSize [ 25 ].
Participants are PhD students enrolled in 10 courses of “Practical Course in Systematic Review Technique in Clinical Research” and 10 courses of “Getting started: Writing your first manuscript for publication” at the PhD School of the Faculty of Health Sciences, University of Copenhagen, Denmark.
Randomization will be performed on course-level. The courses are randomized by a computer random number generator [ 26 ]. To get a balanced randomization per year, 2 sets with 2 unique random integers in each, taken from the 1–4 range is requested.
The setting is not included in the course catalogue of the PhD School and thus allocation to online or onsite is concealed until 3–4 weeks before course commencement when a welcome letter with course information including allocation to online or onsite setting is distributed to the students. The lecturers are also informed of the course setting at this time point. If students withdraw from the course after being informed of the setting, a letter is sent to them enquiring of the reason for withdrawal and reason is recorded (Appendix 7).
The allocation sequence is generated by a computer random number generator (random.org). The participants and the lecturers sign up for the course without knowing the course setting (online or onsite) until 3–4 weeks before the course.
Due to the nature of the study, it is not possible to blind trial participants or lecturers. The outcomes are reported by the participants directly in an online form, thus being blinded for the outcome assessor, but not for the individual participant. The data collection for the long-term follow-up regarding academic achievements is conducted without blinding. However, the external researcher analysing the data will be blinded.
Data will be collected by the project leader (Table 1 ). Baseline variables and post course knowledge, motivation, and self-efficacy are self-reported through questionnaires in SurveyXact® [ 27 ]. Academic achievements are collected through Google Scholar profiles of the participants.
Given that we are using participant assessments and evaluations for research purposes, all data collection – except for monthly follow-up of academic achievements after the course – takes place either in the immediate beginning or ending of the course and therefore we expect participant retention to be high.
Data will be downloaded from SurveyXact and stored in a locked and logged drive on a computer belonging to the Capital Region of Denmark. Only the project leader has access to the data.
This project conduct is following the Danish Data Protection Agency guidelines of the European GDPR throughout the trial. Following the end of the trial, data will be stored at the Danish National Data Archive which fulfil Danish and European guidelines for data protection and management.
Data is anonymized and blinded before the analyses. Analyses are performed by a researcher not otherwise involved in the inclusion or randomization, data collection or handling. All statistical tests will be testing the null hypotheses assuming the two arms of the trial being equal based on corresponding estimates. Analysis of primary outcome on short-term learning will be started once all data has been collected for all individuals in the last included course. Analyses of long-term academic achievement will be started at end of follow-up.
Baseline characteristics including both course- and individual level information will be presented. Table 2 presents the available data on baseline.
We will use multivariate analysis for identification of the most important predictors (motivation, self-efficacy, sex, educational background, and knowledge) for best effect on short and long term. The results will be presented as risk ratio (RR) with 95% confidence interval (CI). The results will be considered significant if CI does not include the value one.
All data processing and analyses were conducted using R statistical software version 4.1.0, 2021–05-18 (R Foundation for Statistical Computing, Vienna, Austria).
If possible, all analysis will be performed for “Practical Course in Systematic Review Technique in Clinical Research” and for “Getting started: Writing your first manuscript for publication” separately.
Primary analyses will be handled with the intention-to-treat approach. The analyses will include all individuals with valid data regardless of they did attend the complete course. Missing data will be handled with multiple imputation [ 28 ] .
Upon reasonable request, public assess will be granted to protocol, datasets analysed during the current study, and statistical code Table 3 .
This project is coordinated in collaboration between the WHO CC (DEN-62) at the Parker Institute, CAMES, and the PhD School at the Faculty of Health and Medical Sciences, University of Copenhagen. The project leader runs the day-to-day support of the trial. The steering committee of the trial includes principal investigators from WHO CC (DEN-62) and CAMES and the project leader and meets approximately three times a year.
Data monitoring is done on a daily basis by the project leader and controlled by an external independent researcher.
An adverse event is “a harmful and negative outcome that happens when a patient has been provided with medical care” [ 29 ]. Since this trial does not involve patients in medical care, we do not expect adverse events. If participants decline taking part in the course after receiving the information of the course setting, information on reason for declining is sought obtained. If the reason is the setting this can be considered an unintended effect. Information of unintended effects of the online setting (the intervention) will be recorded. Participants are encouraged to contact the project leader with any response to the course in general both during and after the course.
The trial description has been sent to the Scientific Ethical Committee of the Capital Region of Denmark (VEK) (21041907), which assessed it as not necessary to notify and that it could proceed without permission from VEK according to the Danish law and regulation of scientific research. The trial is registered with the Danish Data Protection Agency (Privacy) (P-2022–158). Important protocol modification will be communicated to relevant parties as well as VEK, the Joint Regional Information Security and Clinicaltrials.gov within an as short timeframe as possible.
The results (positive, negative, or inconclusive) will be disseminated in educational, scientific, and clinical fora, in international scientific peer-reviewed journals, and clinicaltrials.gov will be updated upon completion of the trial. After scientific publication, the results will be disseminated to the public by the press, social media including the website of the hospital and other organizations – as well as internationally via WHO CC (DEN-62) at the Parker Institute and WHO Europe.
All authors will fulfil the ICMJE recommendations for authorship, and RR will be first author of the articles as a part of her PhD dissertation. Contributors who do not fulfil these recommendations will be offered acknowledgement in the article.
This cluster randomized trial investigates if an onsite setting of a research course for PhD students within the health and medical sciences is different from an online setting. The outcomes measured are learning of research methodology (primary), preference, motivation, and self-efficacy (secondary) on short term and academic achievements (secondary) on long term.
The results of this study will be discussed as follows:
Discussion of primary outcome
Primary outcome will be compared and contrasted with similar studies including recent RCTs and mixed-method studies on online and onsite research methodology courses within health and medical education [ 10 , 11 , 30 ] and for inspiration outside the field [ 31 , 32 ]: Tokalic finds similar outcomes for online and onsite, Martinic finds that the web-based educational intervention improves knowledge, Cheung concludes that the evidence is insufficient to say that the two modes have different learning outcomes, Kofoed finds online setting to have negative impact on learning and Rahimi-Ardabili presents positive self-reported student knowledge. These conflicting results will be discussed in the context of the result on the learning outcome of this study. The literature may change if more relevant studies are published.
Discussion of secondary outcomes
Secondary significant outcomes are compared and contrasted with similar studies.
It is a limitation to this study, that an onsite curriculum for a full day is delivered identically online, as this may favour the onsite course due to screen fatigue [ 33 ]. At the same time, it is also a strength that the time schedules are similar in both settings. The offer of coffee, tea, water, and a plain sandwich in the onsite course may better facilitate the possibility for socializing. Another limitation is that the study is performed in Denmark within a specific educational culture, with institutional policies and resources which might affect the outcome and limit generalization to other geographical settings. However, international students are welcome in the class.
In educational interventions it is generally difficult to blind participants and this inherent limitation also applies to this trial [ 11 ]. Thus, the participants are not blinded to their assigned intervention, and neither are the lecturers in the courses. However, the external statistical expert will be blinded when doing the analyses.
We chose to compare in-person onsite setting with a synchronous online setting. Therefore, the online setting cannot be expected to generalize to asynchronous online setting. Asynchronous delivery has in some cases showed positive results and it might be because students could go back and forth through the modules in the interface without time limit [ 11 ].
We will report on all the outcomes defined prior to conducting the study to avoid selective reporting bias.
It is a strength of the study that it seeks to report outcomes within the 1, 2 and 4 levels of the Kirkpatrick conceptual framework, and not solely on level 1. It is also a strength that the study is cluster randomized which will reduce “infections” between the two settings and has an adequate power calculated sample size and looks for a relevant educational difference of 20% between the online and onsite setting.
The results of this study may have implications for the students for which educational setting they choose. Learning and preference results has implications for lecturers, course managers and curriculum developers which setting they should plan for the health and medical education. It may also be of inspiration for teaching and training in other disciplines. From a societal perspective it also has implications because we will know the effect and preferences of online learning in case of a future lock down.
Future research could investigate academic achievements in online and onsite research training on the long run (Kirkpatrick 4); the effect of blended learning versus online or onsite (Kirkpatrick 2); lecturers’ preferences for online and onsite setting within health and medical education (Kirkpatrick 1) and resource use in synchronous and asynchronous online learning (Kirkpatrick 5).
This trial collected pilot data from August to September 2021 and opened for inclusion in January 2022. Completion of recruitment is expected in April 2024 and long-term follow-up in April 2026. Protocol version number 1 03.06.2022 with amendments 30.11.2023.
The project leader will have access to the final trial dataset which will be available upon reasonable request. Exception to this is the qualitative raw data that might contain information leading to personal identification.
Artificial Intelligence
Copenhagen academy for medical education and simulation
Confidence interval
Coronavirus disease
European credit transfer and accumulation system
International committee of medical journal editors
Intrinsic motivation inventory
Multiple choice questionnaire
Doctor of medicine
Masters of sciences
Randomized controlled trial
Scientific ethical committee of the Capital Region of Denmark
WHO Collaborating centre for evidence-based clinical health promotion
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We thank the students who make their evaluations available for this trial and MSc (Public Health) Mie Sylow Liljendahl for statistical support.
Open access funding provided by Copenhagen University The Parker Institute, which hosts the WHO CC (DEN-62), receives a core grant from the Oak Foundation (OCAY-18–774-OFIL). The Oak Foundation had no role in the design of the study or in the collection, analysis, and interpretation of the data or in writing the manuscript.
Authors and affiliations.
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Rie Raffing & Hanne Tønnesen
Copenhagen Academy for Medical Education and Simulation (CAMES), Centre for HR and Education, The Capital Region of Denmark, Copenhagen, 2100, Denmark
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RR, LK and HT have made substantial contributions to the conception and design of the work; RR to the acquisition of data, and RR, LK and HT to the interpretation of data; RR has drafted the work and RR, LK, and HT have substantively revised it AND approved the submitted version AND agreed to be personally accountable for their own contributions as well as ensuring that any questions which relates to the accuracy or integrity of the work are adequately investigated, resolved and documented.
Correspondence to Rie Raffing .
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The Danish National Committee on Health Research Ethics has assessed the study Journal-nr.:21041907 (Date: 21–09-2021) without objections or comments. The study has been approved by The Danish Data Protection Agency Journal-nr.: P-2022–158 (Date: 04.05.2022).
All PhD students participate after informed consent. They can withdraw from the study at any time without explanations or consequences for their education. They will be offered information of the results at study completion. There are no risks for the course participants as the measurements in the course follow routine procedure and they are not affected by the follow up in Google Scholar. However, the 15 min of filling in the forms may be considered inconvenient.
The project will follow the GDPR and the Joint Regional Information Security Policy. Names and ID numbers are stored on a secure and logged server at the Capital Region Denmark to avoid risk of data leak. All outcomes are part of the routine evaluation at the courses, except the follow up for academic achievement by publications and related indexes. However, the publications are publicly available per se.
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Raffing, R., Konge, L. & Tønnesen, H. Learning effect of online versus onsite education in health and medical scholarship – protocol for a cluster randomized trial. BMC Med Educ 24 , 927 (2024). https://doi.org/10.1186/s12909-024-05915-z
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DOI : https://doi.org/10.1186/s12909-024-05915-z
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The doctoral curriculum integrates analytical methods, research design, a rigorous understanding of urbanization dynamics, and an examination of broader social theories, processes and policies.
Students address complex systems that typically encompass an array of spatial, environmental, social, political, technical, and economic factors. The emphasis is on theory, analysis, and action.
Each student is also expected to demonstrate an understanding of the literature, theory, and research in a specialization area within the larger discipline of urban and regional planning.
Four courses are required of all Ph.D. students: two doctoral-level planning theory courses and a two-course research seminar sequence.
Recent students have engaged in subjects as diverse as:
Doctoral students specialize in a wide range of possible topics.
Students meet these requirements through coursework and exams over a two-year period. During this time, a student’s cumulative grade point average may not fall below a B without academic discipline or probation.
Students are expected to be skilled in statistics, in at least two analytic research techniques, and reasonably knowledgeable about several others. Students qualify in analytic techniques by completing the following:
Satisfactory performance (B or higher) in two cumulative graduate-level statistics courses.
Students entering with previous statistics experience may wish to enter directly into a second semester statistics course. In the past, students have typically selected one of the following sequences:
NOTE: Students wishing to study statistics during the spring or summer terms may want to investigate the Summer Program in Quantitative Methods of Social Research sponsored by the Inter-university Consortium for Political and Social Research (ICPSR) and/or the Summer Institute in Survey Research Techniques conducted by the research staff of the Survey Research Center, Institute for Social Research. Choice of courses to meet requirements should be discussed with your advisor.
Competence in at least two analytic/research methods satisfied through six credit hours of total coursework.
These are methods used in planning research and should prepare the student for their likely area of dissertation work. The requirement is met through completion of nine credits of course work in two analytic/research methods (in addition to statistics), to be defined by the student in conjunction with his or her advisor. (The two methods may be interrelated.) Depending on the research method and the student’s background, more courses may be needed. Courses in these two areas must be completed with a grade of B or higher in order to fulfill this requirement. Graduate level courses that are audited can count for this requirement, as long as the student completes all the work of the course and the instructor provides a letter indicating the grade the student would have received had he or she been enrolled. All plans for satisfying this requirement are the joint responsibility of the student and his or her advisor.
The methods a student selects should relate to their dissertation area. Below are several analytic/research methods in which students have been examined in recent years. Numerous analytic/research methods are appropriate, and students need not be restricted to choices on the list:
At the end of each year of study, students are required to complete an Annual Review. The advisor and the Director of Doctoral Studies may make recommendations for any modifications deemed necessary prior to the start of the following academic year. Note: financial support for the subsequent year, if applicable, depends on timely completion of a satisfactory annual review.
By April 15, the student submits:
The student and advisor meet; the advisor provides comments to the student and, where necessary, recommends changes in the academic plan in the annual review form.
Once the advisor has approved the plan of study for the coming year, they send the Director of Doctoral Studies a short narrative of student progress.
The URP Ph.D. Advisory Committee reviews the materials, and sends a letter to the student, either confirming their good standing in the program or specifying additional requirements to be in good standing.
The comprehensive exam tests a student’s knowledge of both their primary and secondary areas of specialization. The exam consists of a take-home, written examination followed by an oral exam. The examination normally occurs at the end of the student’s second year, after completion of all relevant coursework.
The Committee
The student convenes an examination committee of three faculty members, choosing faculty who have expertise in the areas of specialization. At least one member of the committee should be a member of the urban and regional planning faculty. The chair or co-chair of the committee must be a regular member of the planning faculty and cannot be an affiliate faculty member. At least one committee member should represent the student’s secondary area of specialization. (If the student has identified a secondary area of specialization that is traditionally housed in another department on campus, then the student is encouraged to select a faculty member from that outside department as their third committee member.) On occasion, examiners from outside the university have served on students’ examining committees. While this practice is generally not encouraged, written requests for an outside examiner by students are treated on an individual basis by the director of doctoral studies.
The Field Statement
The student meets with the committee chair to plan for the exam and agree on expectations prior to the construction of the exam. In consultation with the chair and committee members, the student identifies appropriate readings and prepares a detailed “field statement” that defines the primary and secondary fields, contains a detailed bibliography of readings, organizes the readings into subfields, and outlines a set of major questions for the fields. The field statement is normally designed principally with the chair and is sometimes analogous to a detailed syllabus that one would prepare for a year-long graduate-level course on the selected specializations. The student often writes possible exam questions that he/she feels are appropriate for the area the exam will cover. The questions are not the questions the committee asks the student; their major function is to help the committee and the student to agree on the scope of the exam.
Scheduling the Exam
The exam must be completed by the end of May, at the end of a student’s second year in the program, and is scheduled on the student’s initiative. Prior to the exam, the student should have completed all coursework (including all incompletes). A student may delay the exam for exceptional circumstances with approval of the faculty adviser and the Director of Doctoral Studies. Students must notify the Director of Doctoral Studies of their intent to take the exam, with a date and time, location, and names of committee members at least one month prior to the exam.
The written part of the exam is in the form of a take-home essay. The committee chair typically solicits exam questions from the committee, selects questions to be used, and composes the final examination. The allotted time period to write the exam is determined by the chair, and typically is over three days. The student must submit the exam in the form as directed by the chair (usually as a Word document submitted by email), plus one copy to the program administrator to be placed in the student’s records. The written exam is followed by a two-hour oral exam, generally scheduled to take place within about one week after the written exam. The exam is evaluated on a “Pass/Fail” or “Conditional Pass” basis. If the student does not achieve a passing evaluation, he/she may take the exam one additional time to achieve a “Pass” or “Conditional Pass” status. A “Conditional Pass” indicates that additional requirements must be met, but the exam need not be retaken. Upon completion of the oral portion of the exam, please refer to the Applying for Candidacy section for next steps.
A student advances to candidacy when all program requirements except the dissertation proposal and dissertation have been satisfied. The normal and expected time to achieve candidacy is two years from the date of first enrollment in the doctoral program. In addition to urban and regional planning program requirements, a student must also meet Rackham Candidacy Requirements . Any incomplete courses that are critical to satisfying requirements must be completed before applying for candidacy.
Once all required coursework and the comprehensive exam are successfully completed, a student applies for Candidacy by sending a request by email to the URP Director of Doctoral Studies, along with a signed Comprehensive Exam Certification Form.
The Director of Doctoral Studies will recommend a doctoral student for candidacy by submitting a recommendation to the Rackham Graduate School. When candidacy is approved, a student is ready to begin work on the dissertation and is eligible for URP 995 candidacy registration.
Sample First Year
Fall | |
---|---|
URP 700 or 701 | Advanced Urban Theory (700) or Epistemology and Reasoning for Planning Research (701) (offered fall term in odd number years) |
URP 500 | URP 500 Planning Theory, if did not take during Master’s |
[Statistics I] | |
Elective (methods/specialization) |
Winter | |
---|---|
URP 612 | Directed Study (Literature Review) or Elective |
[Statistics II] | |
2 Electives | |
URP 801 | Research Design |
Sample Second Year
Fall | |
---|---|
URP 700 or 701 | Theory |
URP 612 | Directed Study (Literature Review) or Elective |
Elective |
Winter | |
---|---|
URP 802 | Ph.D. Research Practicum |
3 Electives |
IMAGES
VIDEO
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17 Research Proposal Examples. Written by Chris Drew (PhD) | January 12, 2024. A research proposal systematically and transparently outlines a proposed research project. The purpose of a research proposal is to demonstrate a project's viability and the researcher's preparedness to conduct an academic study.
Guidance for PhD applicants Faculty of Education, University of Cambridge The 1,500 word research proposal is an important element of your application to doctoral study, whether full-time or part-time. It offers you the opportunity to outline the research you intend to conduct, including how you plan to go about it, and how your research might make a contribution to a theoretical or empirical ...
We walk you through two successful research proposals (Master's PhD-level), as well as our free research proposal. Download PDF or Word.
Find guidance on how to write your PhD research proposal and a template form for you to use to submit your research proposal.
Research proposals Your research proposal is a key part of your application. It tells us about the question you want to answer through your research. It is a chance for you to show your knowledge of the subject area and tell us about the methods you want to use.
Below you will find a research proposal template you can use to write your own PhD proposal, along with examples of specific sections. Note that your own research proposal should be specific and carefully tailored to your own project and no two proposals look the same. Use the template and examples below with that in mind.
Understand what a successful PhD research proposal needs to include and how to go about writing one for your project application.
Writing a PhD research proposal: A 6‐step general guide for prospective PhD researchers Introduction This short guide is aimed at helping you to write a good research proposal. It is intended to help you to think about your proposed PhD research in a clear, structured and meaningful way.
PhD research at the School of Education UCD: a guide to writing your thesis proposal PhD research at the School of Education UCD:99981231160000-0800 a guide to writing your thesis proposal The on-line application requires you to complete a research proposal, indicating the area you would hope to work on in your PhD thesis. This document contains some guidelines on how to write the research ...
CSSA Sample PhD proposals. Purpose. Welcome to the on-line version of the UNC dissertation proposal collection. The purpose of this collection is to provide examples of proposals for those of you who are thinking of writing a proposal of your own.
Developing a PhD Research Proposal is a pivotal step towards delving into scholarly inquiry, shaping the trajectory of one's academic journey and contributing to the body of knowledge. Doctoral candidates incessantly look for a sample PhD research proposal to serve as a blueprint, illuminating the intricacies of their research endeavor to ...
Template for research proposals in connection with applications for a PhD position or admission to the PhD programme in Educational Sciences for Teacher Education at the Faculty of Education and international Studies.
Research proposal purpose Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application, or prior to starting your thesis or dissertation.
The PhD student will therefore experience a much wider research project. Adaptation options will be initially assessed from the database that has already been created, and further model runs will be performed to assess other adaptation options that are considered potentially important.
Applying for a PhD or research master's and not sure where to start with your research proposal? Use these guidelines to prepare a strong application.
Introduction This guide provides practical information for students who have been asked to submit a research proposal as part of their application for admission to a research degree. It is also relevant to students who are applying to external bodies for postgraduate research funding.
Get guidance on how to write an original, high quality PhD research proposal for study at the School of Sociology, Politics and International Studies.
The dissertation proposal is a comprehensive statement on the extent and nature of the student's dissertation research interests. Students submit a draft of the proposal to their dissertation advisor between the end of the seventh and middle of the ninth quarters. The student must provide a written copy of the proposal to the faculty ...
A PhD proposal is a focused document that int roduces your PhD study idea and seeks to. convince the reader that your idea is interesting, original and viable within the allocated study. period ...
PhD Research Proposal Sample for Your Inspiration One of the toughest things to do when it comes to completing a voluminous and challenging PhD research project is the proposal. The thing about the PhD research proposal is that you have to encapsulate everything that you want to accomplish, communicate in a concise way what you want to do, the resources that it will require, and finally you ...
This is a sample PHD level dissertation proposal in education and teaching, forged by experts and demonstrates the quality of our services.
Writing a research proposal. As part of the process of applying for a research degree, you will need to prepare an outline of your proposed research. This must be 5-10 pages long (font 11pt minimum) excluding the bibliography.
The objectives of research in this study include: Determining the factors that reduce the performance of students in Mathematics and Math related subjects among students in secondary schools. Evaluating the impact of educational games as learning tools on the achievement of students in Mathematics. Investigating the differences in the ...
Background The disruption of health and medical education by the COVID-19 pandemic made educators question the effect of online setting on students' learning, motivation, self-efficacy and preference. In light of the health care staff shortage online scalable education seemed relevant. Reviews on the effect of online medical education called for high quality RCTs, which are increasingly ...
After gaining approval from the dissertation committee, the dissertation chair must send an email to the Director of Doctoral Studies that includes (a) the date of the proposal defense, (b) a list of all committee members present at the defense, (c) a title of the proposal, (d) an abstract of the proposal (250 - 350 words), and (e) a copy of ...