experiment with google

LABS.GOOGLE

Experiment with the future of ai, visual artists x imagen, ai overviews in search, gemini for google workspace.

MUSICFX RADIO

VIDEOFX WITH VEO

LATEST DROP

GOING GLOBAL

IMAGEFX AND MUSICFX

LAB SESSIONS

VISUAL ARTISTS ✕ IMAGEN

Artists endlessly reimagine Alice’s Adventures in Wonderland by fine-tuning Imagen 2 to generate infinite images in each of their unique styles.

TEACHER X LLMs

NYU professor and creator of popular YouTube channel The Coding Train, Daniel Shiffman, joins us to explore an AI tool that helps learners on their creative coding journey.

JOURNALIST ✕ LLMs

Video journalist Cleo Abram tries out NotebookLM and riffs with creator Steven Johnson on memory retrieval, fact checking, and second brain workflow.

RAPPER ✕ LLM

GRAMMY® Award-winning artist Lupe Fiasco helps build AI tools for writers, rappers, and wordsmiths.

COMPOSER ✕ GEN AI

Dan Deacon creates a live performance using generative AI tools like MusicFX, Gemini, and Phenaki.

STUDENTS ✕ SIGN LANGUAGE RECOGNITION

Students from the Georgia Institute of Technology and the National Technical Institute for the Deaf at Rochester Institute of Technology experiment with AI to make learning sign language easier.

Creatability

Experiments

Sound canvas, seeing music, clarion lite.

Made something you'd like to see featured here? Submit your experiment here.

October 25, 2018

Build your own.

Who made these?

These experiments were a collaborative effort by Jay Alan Zimmerman, Claire Kearney-Volpe, Kyle Philips, Yotam Mann, Luisa Pereira, Use All Five, and Google Creative Lab. Special thanks to Chancey Fleet, Josh Miele, James Maxson, and friends at Henry Viscardi School at The Viscardi Center, Tech Kids Unlimited, and ADAPT Community Center.

What can you do with them?

The experiments explore a diverse set of inputs, from mouse, keyboard, body, wrist, nose, or voice. You can make music by moving your face , draw using sight or sound , experience music visually , and more.

How does the body tracking work?

The body tracking feature was made using Posenet, a machine learning model that can detect key body joints in images and videos. This lets you control the experiments with your webcam, simply by moving your body.

When I turn on my webcam, are my images being sent to Google servers?

No. Your images are not being sent to any Google servers while you’re using body tracking mode in these experiments. All the image recognition is happening locally in your browser.

What devices does it work best on?

For the best experience, use Chrome on a desktop PC or Mac. Most features also work on tablets, but have not been tested on all devices. Phones are not fully supported. 

Do they work with screen readers?

We’ve worked to make the experiments work with many screen readers across different platforms, but we’re still working to improve compatibility. If you have feedback, drop us a line at [email protected].

Why is the experience slow on my computer?

The body tracking feature works best on newer computers with faster GPUs. If you have an older computer, you can still try it, but it just might just feel a little slower and less accurate.

How can I build projects like this?

We’re working on sharing open-source code and components in this Github repository . We’ve also creating guides as starting points, like this tutorial that lets you learn how to use body tracking with P5.js.

Made something that you’d like to see featured here? Contribute your own experiment to this collection.

20 June 2024

3 fun experiments to try for your next Android app, using Google AI Studio

We shared an exciting live demo from the Developer Keynote at Google I/O 2024 where Gemini transformed a wireframe sketch of an app's UI into Jetpack Compose code, directly within Android Studio. While we're still refining this feature to make sure you get a great experience inside of Android Studio, it's built on top of foundational Gemini capabilities which you can experiment with today in Google AI Studio .

Specifically, we'll delve into:

• Turning designs into UI code: Convert a simple image of your app's UI into working code.
• Smart UI fixes with Gemini: Receive suggestions on how to improve or fix your UI.
• Integrating Gemini prompts in your app: Simplify complex tasks and streamline user experiences with tailored prompts.

Note: Google AI Studio offers various general-purpose Gemini models, whereas Android Studio uses a custom version of Gemini which has been specifically optimized for developer tasks. While this means that these general-purpose models may not offer the same depth of Android knowledge as Gemini in Android Studio, they provide a fun and engaging playground to experiment and gain insight into the potential of AI in Android development.

Experiment 1: Turning designs into UI code

First, to turn designs into Compose UI code: Open the chat prompt section of Google AI Studio, upload an image of your app's UI screen (see example below) and enter the following prompt:

"Act as an Android app developer. For the image provided, use Jetpack Compose to build the screen so that the Compose Preview is as close to this image as possible. Also make sure to include imports and use Material3."

Then, click "run" to execute your query and see the generated code. You can copy the generated output directly into a new file in Android Studio.

With this experiment, Gemini was able to infer details from the image and generate corresponding code elements. For example, the original image of the plant detail screen featured a "Care Instructions" section with an expandable icon — Gemini's generated code included an expandable card specifically for plant care instructions, showcasing its contextual understanding and code generation capabilities.

Experiment 2: Smart UI fixes with Gemini in AI Studio

Inspired by " Circle to Search ", another fun experiment you can try is to "circle" problem areas on a screenshot, along with relevant Compose code context, and ask Gemini to suggest appropriate code fixes.

You can explore with this concept in Google AI Studio:

1. Upload Compose code and screenshot: Upload the Compose code file for a UI screen and a screenshot of its Compose Preview, with a red outline highlighting the issue—in this case, items in the Bottom Navigation Bar that should be evenly spaced.

2. Prompt Gemini: Open the chat prompt section and enter

" Given this code file describing a UI screen and the image of its Compose Preview, please fix the part within the red outline so that the items are evenly distributed. "

3. Gemini's solution: Gemini returned code that successfully resolved the UI issue.

Experiment 3: Integrating Gemini prompts in your app

Gemini can streamline experimentation and development of custom app features. Imagine you want to build a feature that gives users recipe ideas based on an image of the ingredients they have on hand. In the past, this would have involved complex tasks like hosting an image recognition library, training your own ingredient-to-recipe model, and managing the infrastructure to support it all.

Now, with Gemini, you can achieve this with a simple, tailored prompt. Let's walk through how to add this "Cook Helper" feature into your Android app as an example:

1. Explore the Gemini prompt gallery: Discover example prompts or craft your own. We'll use the "Cook Helper" prompt.

2. Open and experiment in Google AI Studio : Test the prompt with different images, settings, and models to ensure the model responds as expected and the prompt aligns with your goals.

3. Generate the integration code : Once you're satisfied with the prompt's performance, click "Get code" and select "Android (Kotlin)". Copy the generated code snippet.

4. Integrate the Gemini API into Android Studio : Open your Android Studio project. You can either use the new Gemini API app template provided within Android Studio or follow this tutorial . Paste the copied generated prompt code into your project.

That's it - your app now has a functioning Cook Helper feature powered by Gemini. We encourage you to experiment with different example prompts or even create your own custom prompts to enhance your Android app with powerful Gemini features.

Our approach on bringing AI to Android Studio

While these experiments are promising, it's important to remember that large language model (LLM) technology is still evolving, and we're learning along the way. LLMs can be non-deterministic, meaning they can sometimes produce unexpected results. That's why we're taking a cautious and thoughtful approach to integrating AI features into Android Studio.

Our philosophy towards AI in Android Studio is to augment the developer and ensure they remain "in the loop." In particular, when the AI is making suggestions or writing code, we want developers to be able to carefully audit the code before checking it into production. That's why, for example, the new Code Suggestions feature in Canary automatically brings up a diff view for developers to preview how Gemini is proposing to modify your code, rather than blindly applying the changes directly.

We want to make sure these features, like Gemini in Android Studio itself, are thoroughly tested, reliable, and truly useful to developers before we bring them into the IDE.

What's next?

We invite you to try these experiments and share your favorite prompts and examples with us using the #AndroidGeminiEra tag on X and LinkedIn as we continue to explore this exciting frontier together. Also, make sure to follow Android Developer on LinkedIn , Medium , YouTube , or X for more updates! AI has the potential to revolutionize the way we build Android apps, and we can't wait to see what we can create together.

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New Google AI experiment could let you chat with celebrities, YouTube influencers

Published on June 25, 2024

• According to a new report, Google is working on an AI experiment that could let you chat with famous personalities.
• The project will also allow anyone to build their own chatbots, similar to services like Character.ai.
• The search giant may partner with YouTube influencers to create brand-specific AI personas.

Google is reportedly working on a new AI project that will let you converse with chatbots modeled after celebrities, YouTube influencers, or even fictional characters. According to The Information , Google plans to let anyone create their own chatbot by “describing its personality and appearance” and then converse with it — purely for entertainment.

This latest AI effort is notably distinct from Gems, which are essentially “customized versions of Gemini”. Put simply, Gems are similar to custom GPTs  that can be taught to handle singular tasks like acting as a running coach or coding partner. On the other hand, Google’s upcoming chatbot project will fine-tune the Gemini family of language models to mimic or emulate the response style of specific people.

The search giant’s interest in personalized chatbots might suggest that it’s looking to take on Meta’s Celebrity AI chatbots. The latter already lets you talk to AI recreations of famous personalities like Snoop Dogg. Google’s upcoming product has also drawn comparisons to Character.ai , a chatbot service that offers a diverse range of personas ranging from TV characters to real-life politicians. Character.ai allows you to create your own personas with unique response styles that can be trained via text datasets.

Google’s customizable chatbot endeavor comes courtesy of the Labs team, which pivoted to working on various AI experiments last year. It’s being developed by a team of ten employees and led by long-time Google Doodle designer Ryan Germick.

As for monetization, the report suggests that Google may eventually integrate the project into YouTube rather than launching it as a standalone product. This would allow creators to create their own AI personas and potentially improve engagement with their audiences. YouTube’s most famous personality, MrBeast, already embodies an AI-powered chatbot on Meta’s platforms. While this approach may still not translate to a direct revenue stream, it could convince users to return to YouTube more often and offer creators better reach.

While a release date has yet to be finalized, the chatbot platform will likely make its way to the Google Labs page for testing first. The company is currently showing off over a dozen experimental tools and projects, with some like the controversial AI Overviews already integrated within mainline Google products.

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Learning & Education

New AI tools for Google Workspace for Education

Jun 24, 2024

[[read-time]] min read

We’re bringing Gemini to teen students using their school accounts to help them learn responsibly and confidently in an AI-first future, and empowering educators with new tools to help create great learning experiences.

Editor’s note: This week we’re joining thousands of educators and students at ISTE , the United States’ biggest educational technology exhibition. Visit us at Booth 1424 , where you can check out new Chromebooks and features in Google Workspace for Education . Follow along on Twitter and Facebook for the latest updates.

Generative AI has the potential to help students, educators and education communities save time, create captivating learning experiences, inspire creativity and learn with confidence. We recently brought Gemini for Google Workspace to education communities with two new paid add-ons and announced our commitment to add more data protections for schools using Gemini, free of charge. Today, we're excited to share several updates, including bringing Gemini to teen students and new features to help educators create great learning experiences.

Helping teen students learn responsibly and confidently in an AI-first future with Gemini

Google is committed to making AI helpful for everyone, in the classroom and beyond . We want to both prepare teens with the skills and tools they need to thrive in the future where GenAI exists and teach them how this technology can be used to unlock creativity and facilitate learning. Gemini can provide guided support to help students learn more confidently with in-the-moment assistance, practice materials and real-time feedback and ideas. Hands-on experience with generative AI will help prepare students for an AI-driven future.

Last year we released a responsible Gemini experience for teens using their personal Google Accounts after consulting with child safety and development experts to help shape our content policies and an experience that prioritizes safety. Since then we’ve taken a number of additional steps to ensure we’re bringing this technology to students responsibly, partnering with learning science experts, testing with youth advisory panels and committing to add extra data protection for all education users free of charge, meaning Google will not use data from chats to improve AI models.

In the coming months, we're making Gemini available to teen students that meet our minimum age requirements while using their Google Workspace for Education accounts in English in over 100 countries around the world, free of charge for all education institutions. To ensure schools are always in control, Gemini will be off by default for teens until admins choose to turn it on as an Additional Service in the Admin console.

Our teen experience provides a uniquely responsible and useful Gemini for younger students:

• Gemini has been tuned to identify content that may be inappropriate to teen users and trigger policies and guardrails to help prevent inappropriate responses, such as illegal or age-gated substances, from appearing.
• The first time a user asks a fact-based question, Gemini will automatically run its double-check response feature, which helps evaluate whether there’s content across the web to substantiate its response. We'll actively recommend teens use the double-check feature in-product to help them develop information literacy and critical thinking skills.
• A teen-friendly onboarding experience in Gemini includes an AI Literacy video --endorsed by ConnectSafely and Family Online Safety Institute (FOSI) --with tips on how to use generative AI responsibly .
• Learning Coach, a custom version of Gemini powered by LearnLM , will soon help students build knowledge by providing step-by-step study guidance, along with helpful practice activities like quizzes and games.
• OpenStax and Data Commons extensions will soon help students learn with information from trusted sources.

Gemini can help teen students learn responsibly and confidently in an AI-first future.

We’ve also developed a number of resources and trainings to help students, parents and educators use generative AI tools responsibly and effectively, including a video on how teens can responsibly use AI while learning.

During their Gemini onboarding, teens will see this video about how to use generative AI responsibly.

Engaging students in new ways and assessing their progress

• Easy video creation for teaching and learning with Google Vids. We recently announced Google Vids , a collaborative video creation app in Google Workspace for Education that makes it easy to create engaging videos and inspire the next wave of storytellers. In early testing, we’ve heard positive feedback from educators using Vids for everything from pre-recorded lessons to video explainers, syllabus overviews, professional development and more. Students have also shared their excitement about using Vids for video book reports, video essays, and more. We’re releasing a version of Vids without generative AI exclusively to students and educators with Google Workspace for Education Plus later this year; the version powered by generative AI will be available with a Gemini for Google Workspace add on .
• Growing reading skills with Read Along in Google Classroom. Read Along in Classroom , now a Google Workspace for Education service , helps students build independent reading skills and get real-time support with the help of AI. Educators can assign reading activities for individual students based on Lexile® measure, grade level, or phonics skills, with over 800 books from Heggerty , ReadWorks , and more to choose from. Educators can view insights on reading accuracy, speed and comprehension, and we’re piloting the ability to generate personalized stories tailored to student needs. Read Along in Classroom will be available globally, so students around the world can practice their reading skills in English. Teachers can also enable additional support in a student’s native language, starting with Spanish, for certain books.
• Helping educators support students: To make lesson and content planning easier, we’re piloting Gemini in Classroom features powered by LearnLM . Separately, to differentiate instruction, educators will soon be able to define groups of students in Classroom to assign different content based on each group’s needs. And to help monitor student engagement, educators can soon see students’ activity or inactivity with Drive attachments within assignments.
• Making it easier to create practice sets and video activities: Starting with the new Resources tab in Classroom, educators can more easily create, manage and share interactive lessons. Educators globally can now create interactive video activities with new support for Arabic, Hebrew, Farsi and Urdu. English users can leverage AI-suggested questions to attach to YouTube assignments for certain science videos. For practice sets, we’re addressing top-requested features , like being able to add images to practice problems and convert a Google Form to a practice set, including image support.
• More flexibility and control with grading: In addition to being able to set grading periods and scales , educators will be able to choose a default draft score for missing assignments. They’ll also be able to manually mark assignments as missing or complete, perform bulk scoring actions and view state history on excused and missing assignments. Additionally, students can soon view their grades by grading periods.

Google Vids: Easy video creation for teaching and learning. 

Create polished videos with the help of AI. 

Read Along in Classroom: Assign different reading activities, based on phonics skills, Lexile® measure, or grade level.

Read Along in Classroom: Educators can also enable additional support in a student’s native language, starting with Spanish, for certain books.

Read Along in Classroom: View accuracy, comprehension, speed, and progress insights at the student and class level.

Enabling greater integration and collaboration

• Collaborate with Meet and Assignments in your LMS. Google Workspace Learning Tools Interoperability (LTI)™ is our collection of products that connect Google Workspace for Education with popular learning management systems (LMS). In the coming weeks, students and educators who use Canvas and PowerSchool Schoology Learning will be able to access Google Meet directly from their LMS with Google Meet LTI. Educators who use Canvas have already been using Assignments LTI to better distribute, analyze and grade student work. In the coming weeks, Assignments LTI 1.3 will be available in PowerSchool Schoology Learning as well.
• Save time with student information system (SIS) integrations : In addition to educators exporting grades from Google Classroom to select SIS gradebooks, educators will be able to set up classes with OneRoster SIS partners , including Aspen, Infinite Campus, Skyward and PowerSchool SIS, and import information like student lists, co-teachers and grading settings.
• Discover new educational apps and Classroom add-ons in the Google for Education App Hub . We’re launching 17 new Classroom add-ons, expanding the app licensing program to include 6 new partners coming this fall and providing educators with a wider range of integrated tools to enrich the learning experience.
• Expanding guardian access: Going forward, guardian email summaries will now enable parents and guardians to preview their student's Classwork pages, including assigned work and attachments provided by the teacher.
• Easily collect electronic signatures: Rolling out in the coming days, eSignature will make it easy for educators to draft contracts, request signatures in Docs and PDFs in Drive, and manage contract templates all in one place.

Access Google Meet directly from Canvas and PowerSchool Schoology Learning with Google Meet LTI.

Educators will be able to set up classes with OneRoster-supported SIS partners, including Aspen, Infinite Campus, Skyward 2.0, Qmlativ, and PowerSchool SIS, and import information like student lists, co-teachers and grading settings.

Expand your teaching toolkit with 10 new Classroom add-ons for seamless integration

Fostering inclusive learning and a more proactive approach to security

• Chat safer with new settings for students in Google Chat. In the coming months, admins will be able to restrict students from initiating direct messages and creating spaces, helping provide a safer and easier way for teachers to communicate with students.
• Protect data with improved controls in Admin console. Now available, multi-party approval allows admins to require additional approval by another admin to complete a sensitive action, such as changing two-step verification settings. And admins can now proactively block compromised mobile devices using context-aware access.
• Reduce eye strain with dark theme: The Google Classroom mobile app now has dark theme on Android and iOS.
• Teach students handwriting with new regional fonts. We're adding 51 new handwriting font families to Google Fonts and Google Workspace for Education based on handwriting research , as well as typefaces designed for annotations, instructions and student notes. Learn more at fonts.google .

Admins will soon be able to restrict students from initiating direct messages and creating spaces, helping provide a safer and easier way for teachers to communicate with students.

Admins can now proactively block compromised mobile devices using context-aware access. 

We’ve added 51 new handwriting fonts in Google Workspace for Education

As we work to bring the best of Google AI to education and build experiences customized for schools, we remain committed to leaning on the expertise and guidance of educators and institutions. We hope these tools can help enhance your impact and focus on what matters most. Reference this guide for each feature’s availability , including the Google Workspace for Education edition or add-on required to access them.

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Experiments with Google

Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, AR and more. We're showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments. Here are collections of experiments to explore, with new ones added every week. Have fun.

Featured Collections

View all collections.

WebXR Experiments

AR and VR made for the web

AI Experiments

Celebrating Creativity and AI

Arts & Culture Experiments

See what happens at the crossroads of art and technology

Experiments for Learning

A collection of experiments that teachers, students, and families are using to learn from home.

Start With One

A collection of experiments that started by working with one person to make something impactful for them and their community

Chrome Experiments

Creative code for the web

Recent Experiments

View all experiments, passage of water, instrument playground, cultural icons, say what you see, don’t touch the art, what's happening.

Data Science

How to survive google taking over your research field and (perhaps) thrive.

Two years ago, Google team made an incredible advance in structural biology, practically solving the protein folding problem (predicting protein structure from its amino acid sequence). The AI-based AlphaFold algorithm was shown to produce protein models comparable in quality to the experimental ones. It shaked up the field of structural biology, which now must contend with having a choice between spending months on experimental structure determination, or pick up a ready AlphaFold model. However, while amazingly successful, AlphaFold doesn’t address several important questions about proteins, the main one being the existence of alternative conformations. Alphafold is based on the one sequence - one structure paradigm and ignores or rejects all information not compatible with this paradigm. In this seminar I want to highlight a possible path to use some of this information and seek collaborations with deep learning experts to use the computational tools from the AlphaFold infrastructure (or to invent new ones) to address some really fascinating questions in structural biology.

Prof. Adam Godzik

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Elisabeth Grant

Google Experiments with Search

/ Article Archive

/ Google Experiments with Search

Publication Date

January 30, 2008

Google search, love it or hate it, has become ubiquitous. And now, according to a post Monday on the Official Google blog , searching may be evolving. Google is experimenting with “ alternate views for search results ,” including timeline, map, and information views that should hopefully provide a better sense of context to the search results.

The timeline view allows users to filter search results by date, using either a timeline at the top of the page, or by typing in their own set of dates in a “set filter” box on the right side of the page.

Map view combines your search topic (for example “jazz”) with Google maps (where you put in your location). So with map view you can find “jazz” in “manhattan,” or “museums” in “washington, dc,” all laid out on a Google Map.

And finally, information view incorporates a more subtle change: a “control panel” on the right of the page that will change what is included in the text below your results. Clicking on any of the control panel terms (which include dates, measurements, locations, and images) will bring that material up beneath your result.

So if you’re finding that Google searching has lost its thrill, experiment with these different views today, and then let Google know how they work for you.

This post first appeared on AHA Today .

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Attribution must provide author name, article title, Perspectives on History, date of publication, and a link to this page. This license applies only to the article, not to text or images used here by permission.

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18 Easy Science Experiments for Kids

By Med Kharbach, PhD | Last Update: June 30, 2024

Effective learning is driven by a sense of motivation, engagement, and challenge. Each of these aspects is interconnected and works symbiotically to create optimal learning experiences. When it comes to science, engagement isn’t always straightforward, and many science teachers still rely on the “storehouse model” (Karen, Roberts & Malcolm, 1991 ), where students are encouraged to store facts for future use.

While the storehouse model might work in certain areas, it doesn’t enhance understanding and critical analysis. Embrace constructionist approaches and hands-on learning to help kids develop inquiry skills and explore the world beyond their textbooks.

Easy Science Experiments for Kids

Science experiments are a fantastic way to embody inquiry skills such as questioning, observing, and reflecting. These hands-on activities encourage kids to become active participants in their learning journey. By engaging in experiments, children learn to ask questions about the world around them, make observations, and reflect on their findings. This process helps them develop critical thinking and problem-solving skills, fostering a deeper understanding of scientific concepts. Needless to mention that these experiments transform the act of learning from passive absorption of information to an active construction of knowledge, making science both fun and educational.

Below is a collection of practical science experiments for kids that foster essential inquiry skills like questioning, observing, and reflecting, transforming learning into an active and engaging process.

1. Rainbow Density Jar

Create a colorful density experiment by layering sugar-water solutions of different colors and concentrations. Kids will learn about density and buoyancy as they see the layers stack without mixing.

• Age Group : 6-8 years
• Materials : Sugar, food coloring, water, clear jars, spoons
• Educational Insight : Demonstrates liquid density
• Safety Tips : Handle sugar solutions carefully to avoid spills

2. Balloon Rocket

Showcase Newton’s Third Law by attaching a balloon to a straw on a string. When the balloon is released, it propels along the string, illustrating action and reaction forces.

• Age Group : 9-12 years
• Materials : Balloons, string, straws, tape
• Educational Insight : Explains Newton’s Third Law
• Safety Tips : Supervise balloon use to prevent popping near faces

3. Homemade Lava Lamp

Explore immiscibility and chemical reactions with a lava lamp made from water, oil, food coloring, and Alka-Seltzer tablets, creating mesmerizing movements.

• Age Group : 3-5 years
• Materials : Water, vegetable oil, food coloring, Alka-Seltzer, clear bottle
• Educational Insight : Shows oil and water immiscibility
• Safety Tips : Ensure materials are not ingested

4. Solar Oven S’mores

Teach solar energy principles by making s’mores in a homemade solar oven. Kids learn about heat absorption and renewable energy through this delicious experiment.

• Materials : Cardboard box, aluminum foil, plastic wrap, black paper, s’mores ingredients
• Educational Insight : Explains solar energy
• Safety Tips : Monitor to prevent overheating

5. Static Electricity Dancing Ghosts

Use static electricity to make tissue paper ghosts “dance” by rubbing a balloon on hair and bringing it close to the ghosts, illustrating static electric forces.

• Materials : Tissue paper, balloon, scissors
• Educational Insight : Demonstrates static electricity
• Safety Tips : Supervise balloon use to avoid accidental popping

6. Egg Drop Challenge

This experiment involves designing a contraption to protect an egg from breaking when dropped from a height. It encourages creativity and understanding of impact force and material properties.

• Materials : Eggs, straws, tape, cardboard, cotton, etc.
• Educational Insight : Teaches about impact force and engineering design
• Safety Tips : Ensure eggs are handled carefully to avoid mess

7. Invisible Ink

Use lemon juice to write secret messages that become visible when heated. This classic experiment introduces children to the concept of acid-base reactions and oxidation.

• Materials : Lemon juice, paper, cotton swab, heat source
• Educational Insight : Demonstrates acid-base reactions
• Safety Tips : Supervise the use of heat sources

8. Baking Soda Volcano

Create a volcanic eruption using baking soda and vinegar, providing a hands-on demonstration of chemical reactions and gas production.

• Materials : Baking soda, vinegar, dish soap, food coloring, container
• Educational Insight : Teaches chemical reactions
• Safety Tips : Conduct in a well-ventilated area

9. Magic Milk

Add drops of food coloring to milk and watch the colors move when soap is added. This experiment illustrates surface tension and the properties of different liquids.

• Materials : Milk, food coloring, dish soap, cotton swabs
• Educational Insight : Explains surface tension

10. Crystal Growing

Grow beautiful crystals using a salt or sugar solution. This experiment helps kids understand the process of crystallization and the properties of solutions.

• Materials : Salt/sugar, water, jar, string, pencil
• Educational Insight : Demonstrates crystallization
• Safety Tips : Handle boiling water with care

11. Oobleck

Make a non-Newtonian fluid called oobleck using cornstarch and water. It behaves like a solid when you apply force and like a liquid when at rest, demonstrating unique fluid properties.

• Materials : Cornstarch, water, bowl
• Educational Insight : Explores non-Newtonian fluids
• Safety Tips : Supervise to prevent ingestion and spills

12. Simple Circuit

Create a simple electrical circuit using a battery, wire, and a small bulb. This experiment introduces basic principles of electricity and circuitry.

• Materials : Battery, wires, small light bulb
• Educational Insight : Teaches basic electrical concepts
• Safety Tips : Supervise handling of electrical components

13. Balloon-Powered Car

Construct a small car powered by the air released from a balloon. This fun project demonstrates the principles of air propulsion and Newton’s Third Law of Motion.

• Materials : Balloons, straws, bottle caps, cardboard
• Educational Insight : Explains air propulsion
• Safety Tips : Ensure parts are securely attached to avoid choking hazards

14. Leaf Chromatography

Explore the pigments in leaves by separating them using chromatography. This experiment shows the different pigments that make up the color of leaves.

• Materials : Leaves, rubbing alcohol, coffee filters, jars
• Educational Insight : Demonstrates chromatography
• Safety Tips : Use rubbing alcohol with supervision

15. Elephant Toothpaste

Create a foamy eruption using hydrogen peroxide, yeast, and dish soap. This exciting experiment demonstrates rapid decomposition and gas production.

• Materials : Hydrogen peroxide, yeast, dish soap, food coloring, bottle
• Educational Insight : Explains chemical reactions and catalysts
• Safety Tips : Handle hydrogen peroxide with care and use gloves

16. Bouncy Egg

Soak an egg in vinegar for a few days to remove the shell, leaving a bouncy, rubber-like egg. This experiment demonstrates chemical reactions between acids and calcium carbonate.

• Materials : Eggs, vinegar, jar
• Educational Insight : Shows acid-base reactions
• Safety Tips : Handle the egg gently to avoid mess

17. Bottle Rocket

Create a simple rocket using a plastic bottle, baking soda, and vinegar. This experiment illustrates chemical reactions and Newton’s Third Law of Motion.

• Materials : Plastic bottle, baking soda, vinegar, cork, paper towels
• Educational Insight : Demonstrates propulsion and chemical reactions
• Safety Tips : Conduct outdoors and supervise closely

18. Static Electricity Butterfly

Create a paper butterfly that moves using static electricity from a balloon. This experiment helps kids understand static charges and attraction.

• Materials : Tissue paper, balloon, string
• Educational Insight : Explains static electricity
• Safety Tips : Supervise balloon use

For more science resources, check out:

• 20 Amazing Science Facts for Kids
• 15 Great Science Websites for Middle School
• 7 Great Science Posters for Classroom
• 10 Best Science Games for Kids

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Meet Med Kharbach, PhD

Dr. Med Kharbach is an influential voice in the global educational technology landscape, with an extensive background in educational studies and a decade-long experience as a K-12 teacher. Holding a Ph.D. from Mount Saint Vincent University in Halifax, Canada, he brings a unique perspective to the educational world by integrating his profound academic knowledge with his hands-on teaching experience. Dr. Kharbach's academic pursuits encompass curriculum studies, discourse analysis, language learning/teaching, language and identity, emerging literacies, educational technology, and research methodologies. His work has been presented at numerous national and international conferences and published in various esteemed academic journals.

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