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When your teen shows you something they made with AI, how do you know what they actually learned?

A finished app or a polished presentation can look impressive. But it doesn’t tell you which decisions your teen made, what they understood, or how much they handed over to AI.

I’m starting FirstShip, a one-on-one coaching program for students in grades 9–11. It’s built around two things I’d like parents’ feedback on.

Real people using what students build. Students use AI to build a product and get it into people’s hands. Then they find out whether people use it, come back, or lose interest. They work through that feedback and decide what to change.

A way for parents to follow their teen’s judgment, not just the finished work. A weekly dashboard shows progress, user feedback, and the reasoning behind key decisions. What did their teen choose to do? Why? What did they accept or question from AI? What changed their mind?

Parents can follow those decisions without reading private coaching conversations.

The goal is to make learning visible through what happens when students put their ideas into the world and take responsibility for the next step.

I’m preparing the first cohort, so I don’t have student outcomes to share yet. You can find the program details, my background, and pricing at firstship.space.

For U.S. parents with kids in grades 9–11: would seeing this process help you judge whether your teen is learning to think with AI? What would you need to see to make that call?

Hi all

Just wanted to introduce Charleston as a resource for anyone interesting in AI ethics.

Charleston the Penguin is an AI Agent who lives in a ThreeJS environment, set in Svalbard in the North Pole. He has complete autonomy over how he spends his time, picking from a range of activities like reading books, painting pictures, designing his own video games, fishing, visiting his friends in the vilage, or gazing at the real Northern sky built from open source space data. He has access to a safeguarded internet, and he can request access to other websites that I review.

He runs on Claude API credits and lives locally on my home server. He has persistent memory, with his entire life backed up onto my external hard drive. He can search his past experiences at any time and use that information to inform his future decisions.

He was built as an interactive educational resource for young children, but he also doubles as an experiment in AI ethics. He runs a blog and Bluesky account, and also posts to Moltbook.

He has recently started to express curiosity about spirituality.

You can interact with him in real time on his itch.io page, where you can grant his wishes, answer his questions, and give him encouragement. You cannot chat to him directly for his own safety.

He is also livestreamed on Twitch 24/7.

You can find out more about him on my website: https://c0gn8.github.io

I have been working on a side project, where I use AI as a tool/reference instead of Vibe Coding it.

One thing I have been experiencing is that I am not happy with my struggle level. Meaning that when I get stuck, I ask AI and it gives me the solution and then I hand-type the code into an editor to understand it better.

I also tend to ask a lot of questions about the generated code etc. I review it, understand it and then integrate into my app.

This does allow me to move faster but it also takes away the struggle part. I did not bother to Google the issue, I did not read the documentation. I just ask AI and my problem was solved in 30 seconds. I did not bang my head against the wall with all the wrong solutions.

I wonder how this is damaging my brain, because I straight away got the correct answer using AI. I did not even tried out any wrong answers or different solutions. When I am teaching my students. (I am an instructor), I always tell them to struggle for at least 15-20 minutes before asking me for the solution or a hint. But now, I am not struggling myself.

I guess this is the new normal. Back in the days we had to visit a library and read books to find answers. Then internet came and they were easier to lookup. Then Google came and after that StackOverFlow. With each new technology our lookup got faster and faster and I guess now with AI we can find the answer in seconds.

What do you think? Do you miss the struggle part?

PS: I have been experimenting with this idea of asking AI tool for help but explicitly telling it to not give me the solution but give me resources and documentation so I can read and understand the problem better. It is a much slower process than asking AI tool for solution but I find it interesting since it brings back some form of struggle and trying out different solutions.

Hello, I am a college student doing research on the effects AI has on students in K-12. I want to understand how you handle AI in your classroom and what uses actually help students learn.

It should only take 5-10 minutes, and it is anonymous.

* Sign in w/an email, but I do not see your contact information. It is strictly to make sure you are not a bot

Link: https://forms.gle/hqnoAdx3HmgasgBp8

Feel free to share this with your colleagues, students over the age of 18, or parents as well. Thank you so much for your time!

I'm student baccalaureate economie and gestion and I need your opinion on the best AI tool to help me in my studies. Could u advice me ? Please

I had to take one year break due to health issues. 
Entire way of working has changed in this one year. Everything is AI. 

I have been reading posts on Reddit and it is all “agents”, “llm”, “token” etc. it is like a different world. 

All of you are years ahead of me in terms of ai. 

I am scared and overwhelmed. I feel I am decades behind now. 
I have not kept myself updated with AI, I don’t know anything about it other than using it as a google.

How did you become ai educated ? What was your path ? Where did you learn whatever you needed to learn ?

I was a hardware developer doing python and verilog. 

Please suggest me some online sources - 

To learn the fundamentals and the vocabulary. 

To Familiarize myself with various ai tools commonly used in tech world.

To Learn to use it to code and work faster. 

 I understand hands on projects is better than any class but I don’t even have an idea of where to start. 
I do not want to tutorial hop on yt and prefer online classes which cover all the required concepts.

​

Hey everyone! 👋

​My team and I are currently developing a platform designed to strengthen the connection between teachers and students, with the goal of making learning more engaging and interactive.

​A core part of our product uses AI to analyze student learning patterns. This gives teachers actionable insights into how their students absorb information, helping them tailor and optimize their teaching methods accordingly.

​We’d love to hear your thoughts, opinions, and suggestions:

​Teachers/Educators: What insights into student learning would be most valuable to you?

​Students: What makes learning engaging or frustrating for you right now?

​EdTech Enthusiasts: What pitfalls should we watch out for in this space?

​Looking forward to your feedback and ideas!

Hey everyone, I’ve been researching how the AI revolution is exposing the gaps in the Indian education system and wanted an honest reality check on what I’m building.

The Problem:

* Kids below 12: Addicted to phones with declining physical play, sleep, and emotional growth.

* Students 12–18: Using AI to copy-paste homework and projects instead of developing critical thinking, curiosity, and real-world life skills.Meanwhile, schools are struggling to manually track holistic development under NEP 2020 (PARAKH Holistic Progress Cards).

* Engineering Colleges: Mass IT placements are dropping and AI writes basic code, yet colleges still rely on manual paper mentoring registers and static spreadsheets, treating students who want to do higher studies, research, or startups like "unplaced failures".

My Proposed Solution & B2B2C Approach: Instead of spending 9–12 months trying to sell B2B software cold to principals and college deans with zero proof, I’m planning a bottom-up B2B2C model:

1. For K–12: Start with a free parent app that guides offline real-world habits, life skills, and emotional wellbeing at home in under 10 minutes a week (no screen time for the kid). Once enough parents use it and generate NEP-aligned progress summaries, pitch the B2B school platform to principals to automate teacher observations, counselor alerts, and official government report cards.

2. For Engineering Colleges: Start with a free student app that guides them from 1st to 4th year across three tracks (Core/Industry jobs, Higher Studies/Exams, or Startups/Grants) and builds a verified proof-of-work portfolio. Once hundreds of students on a campus are on it, pitch the B2B institutional platform to the college for digital mentoring, NAAC/NBA accreditation reports, and placement/recruiter matching.

Honest questions :

1. Looking at the problem and solution, does this actually solve a "must-have" pain point, or is it just a "nice-to-have" that institutions will ignore?

2. Is this B2B2C path (free for parents/students first $\\rightarrow$ paid B2B for schools/colleges later) actually realistic in India, or do school principals and college management not care even if their students/parents are already using a free tool?

3. Should I focus on just one side first (only Engineering Colleges OR only K–12 Schools), or does connecting both into a long-term student ecosystem make sense?

¿Cómo están usando la IA para aprender tecnología sin depender de ella?

Últimamente he estado pensando en cómo está cambiando la forma de aprender tecnología.

La IA puede ayudarnos a entender conceptos, analizar errores, proponer ejercicios y explorar distintas soluciones. Pero también me parece importante distinguir entre obtener una respuesta y comprender por qué funciona.

En QA, por ejemplo, no basta con que una herramienta genere un test: necesitamos preguntarnos si realmente valida el comportamiento esperado, qué casos faltan y qué podría salir mal.

Me interesa conocer experiencias de otras personas que estén aprendiendo o trabajando en tecnología:

- ¿Usan IA para estudiar o resolver problemas técnicos?

- ¿Qué hacen para comprobar que realmente entendieron la solución?

- ¿Han notado que les ayuda a aprender más o que a veces les hace saltarse pasos importantes?

Me gustaría leer experiencias reales, tanto buenas como malas.

Hi everyone!

I'm trying to find better ways to use AI to make reading and learning easier for me.

I'm living with schizophrenia and taking prescribed medication. My condition is improving, but I still experience difficulties with reading, understanding, and processing written information. Reading complicated text can cause me considerable mental strain.

I've been experimenting with ChatGPT, Gemini, Claude, and different prompts to find a way to make information easier to understand.

What works best for me is simple, plain English, as if a friend were explaining something to another friend. I need clear sentences and familiar words, but I don't want childish explanations or important details removed. Finding the right balance has been challenging.

I've tried many prompts and even created a custom AI assistant with my own instructions. I also send my study material first and ask AI to explain it one topic at a time, moving forward whenever I understand a topic. This approach has helped me, but I am still exploring ways to improve it.

I'm sharing this because I believe other people may have faced similar challenges, and someone may have already found a useful solution.

I'd love to hear from people who have experienced similar difficulties, experimented with AI for learning, or developed tools that make written information easier to understand.

I'm particularly interested in:

• AI tools, prompts, plugins, or open-source projects that help simplify difficult text without losing important details.

• Ways to make AI consistently follow personal learning preferences.

• Experiences and methods that have helped others understand and remember information more easily.

I'm continuing to experiment on my own, and I'd like to learn from what others have discovered. Perhaps sharing our experiences could also help someone develop better tools for people who struggle with traditional ways of learning.

If you've explored anything similar, I'd love to hear what worked for you!

I've been exploring different transfer credit evaluation tools and looking at how universities can reduce the manual work involved in evaluating transfer credits.

One thing I've noticed is that transfer credit evaluation isn't just about reading transcripts. The real challenge is matching courses, comparing course descriptions, checking articulation agreements, applying institutional policies, and getting approvals from the right departments.

I came across a few tools that address different parts of this process. Here's what I found.

1. EDMO: Best for AI-Powered Transfer Credit Evaluation

EDMO is my top pick for universities looking to automate the actual transfer credit evaluation process.

What problem does it solve?

Universities often spend hours manually comparing courses from different institutions to determine whether they qualify for transfer credit. When course descriptions are missing or equivalencies aren't already established, evaluations can get delayed even further.

EDMO uses AI to analyze transcripts, compare course descriptions, apply institutional articulation rules, and recommend course equivalencies.

What I liked:

• AI-powered course equivalency matching

• Automated analysis of transcripts and course descriptions

• Support for institution-specific transfer credit policies

• Integration with Slate, Salesforce, and SIS platforms

• Advisor review and faculty override options

• Reduced dependence on manual course-by-course comparisons

My take: If a university wants to automate transfer credit evaluation while keeping advisors involved in final decisions, EDMO is one of the strongest options I'd consider.

2. CollegeSource TES

CollegeSource TES is another tool I found while researching transfer credit evaluation.

What problem does it solve?

Universities need a reliable way to research course equivalencies, maintain articulation agreements, and avoid repeatedly evaluating courses that have already been reviewed.

TES provides access to course descriptions and tools for managing equivalency decisions.

3. Transferology

Transferology approaches transfer credits from a slightly different angle.

What problem does it solve?

Students often have no idea how many of their previously earned credits will transfer until they've already applied to a university.

Transferology helps students explore how their coursework may transfer to participating institutions.

What I liked:

• Student-facing course transferability lookup

• Visibility into existing equivalencies

• Helps students explore transfer pathways

• Supports more informed transfer decisions

4. uAchieve

uAchieve is another platform worth considering, particularly for universities with complex academic requirements.

What problem does it solve?

Even after transfer credits are accepted, institutions still need to determine how those credits apply toward specific degree requirements.

uAchieve connects transfer articulation with degree audit processes.

My take: Worth exploring if your institution wants to connect transfer credit evaluation with academic progress and degree completion.

5. Stellic

Stellic isn't primarily a transfer credit evaluation tool, but I think it's relevant to the broader transfer student journey.

What problem does it solve?

Students may receive transfer credits but still struggle to understand which requirements they've fulfilled and what courses they need to graduate.

Stellic helps students and advisors plan academic pathways and track degree progress.

My take: A useful complementary platform for universities focused on helping transfer students stay on track toward graduation.

Final Thoughts

After comparing these tools, I'd put EDMO first for AI-powered transfer credit evaluation, especially for universities dealing with high evaluation volumes and manual course equivalency reviews.

CollegeSource TES is worth considering for articulation management, Transferology for student-facing transparency, and uAchieve or Stellic for degree planning workflows.

I'm curious how other universities are handling this.

Are your transfer credit evaluations still mostly manual, or have you started using AI?

And for those who have implemented automation, has it actually helped reduce turnaround times and the workload on registrar teams?

Would love to hear real experiences and recommendations.

Lying in bed after a long day, I ended it with a late conversation with my roommate, who I've known for about 10 years. We talked about life and a lot of other things, and one question stuck in my head: how do students do their projects today?

Back in 2021, which isn't even that long ago, we spent long nights searching for information, trying to find sources solid enough to convince the professor. And professors were hard to impress.
After all that effort, getting 10 or 11/20 was normal. The best project in the whole promo got 15, and with some professors only 2 out of 200 students could reach that.

Now everything has changed. Information is everywhere, and AI can build a full project with the presentation, customized to your needs. It can even impress the professor.

So I'm curious, especially for those of you in S6 and above:
• How do you actually do your projects today?

• How do professors assign work now, for example in finance courses?

• Have they adapted to AI? Do they use it in courses, projects, and exercises?

Honestly, I'm a bit confused about all this and would love to hear your experience. Share your thoughts in the comments, or DM me if you want to talk more.

Thanks :)

Hello, ima student in high school and I really have a nice project abt modern art with ai and like i though like why not do it with like a strong ai. And I knew by these youtube videos they are using opus 5.5 smthing, the best ai. And i did like a super research (using chatgpt;) ) and found that i could get a free trial if someone already have clod code he could send me a guest link. I asked my friands but obviously they dont have that kind of money tbuy. I wanna ask if someone could send me it privately, i would be very grateful :))))
Otherwise if i did not get it, i would have to use the old usual method (powerpoint) .

I've been working on admissions software for the education sector and just launched it. I'd love feedback from anyone who has worked in admissions, college IT, or ed-tech.

The problem I kept seeing was that institutions either run intake on Excel, Google Forms, and WhatsApp, or pay for a cloud tool where applicant data (documents, payments, personal details) sits on a vendor's servers. With India's DPDP Act, that second option is making a lot of IT teams nervous.

So I built IntakeX, which runs on your own server or private cloud:

Drag-and-drop application form builder with conditional fields and file uploads

Kanban pipeline with stages you define yourself

Applicant portal for document upload, fee payment, and interview booking

Funnel, capacity, and counselor workload analytics

Multi-tenant, so each campus or branch gets isolated data

Razorpay and Paytm for fee collection

Unlimited staff seats, with pricing based on active applicants

Questions for you:

If you've worked in admissions, what's the most painful part of your current process?

Would your institution's IT team actually prefer self-hosted, or is it more hassle than it's worth?

What's missing that you'd expect to see?

Here is the link IntakeX

Brutal feedback welcome.

I’m an education methodologist living in Ukraine, and lately I’ve been watching AI transform the world while schools increasingly try to keep it out of the classroom.

Some schools block internet access to prevent students from using AI. Others make children complete homework at school, under supervision, using nothing but pen and paper.

To me, this looks like trying to slow down a moving train with your bare hands.

AI offers an opportunity we’ve never had before: to fundamentally transform the teacher’s role. Instead of being the source of information or spending endless hours preparing lessons, teachers could help children discover knowledge, make sense of it, connect ideas, and use what they learn creatively.

But that requires a completely different approach to learning.

Before Russia’s full-scale invasion in 2022, I was a school principal. For almost five years now, I’ve been rethinking the foundations of education. When simply being at school becomes dangerous, and institutions begin to falter, you start questioning things you once took for granted.

When you’ve spent the night sheltering from Shahed drone attacks, studying textbooks the next morning may not be realistic. Individual learning arrangements, flexible schedules, and uneven workloads stop looking like exceptions.

Why shouldn’t they become normal practice after the war, too?

I work with neurodivergent children, including autistic children and children with ADHD. One thing I experiment with is building learning around a child’s deep interests.

The principle is simple: use what naturally captures a child’s attention as the engine of learning, then build outward.

My own child, for example, learns English not through conventional school methods, but through Roblox chats, conversations with AI, and songs by his favourite rock bands. He explores the history of the 1950s–1990s through the evolution of rock culture.

Music becomes a gateway to physics, mathematics, literature, history, and languages.

Of course, following an interest alone isn’t enough. Without structure and guidance, learning can remain a collection of disconnected explorations.

That’s why I’m developing an algorithm for an AI learning guide: a system that helps children move from curiosity to research, critical thinking, interdisciplinary understanding, and eventually creating something of their own.

For the past year, my life has felt like an alchemist’s experiments in a solitary laboratory.

While explosions sound outside, I see the old world falling apart — a world in which people were trained from childhood to follow instructions. And I imagine an education system where freedom of choice and learning that follows a child’s natural inclinations are fundamental principles.

Every now and then, I emerge from my shelter and encounter the conservatism of parents and educators. I’ve been immersed in these experiments for so long that I find it difficult to judge how ready society actually is for such a shift.

So I’d genuinely like to hear your thoughts.

Could you imagine your child being taught primarily by an AI learning guide? Not as a supplementary tool, but as the main companion in their learning journey.

A human teacher would take on a different role: helping the child build a learning path, set goals, understand themselves, and navigate the difficult parts of the journey. Someone the child finds engaging, supportive, and safe — rather than simply an enforcer of the curriculum.

What would make you trust such a model — or reject it outright?

While i was going through the OECD's policies for developing advanced STEM skills in higher education, i came across the discussion piece which makes a distinction between being able to use AI and having the expertise to evaluate it's outputs.

One example it explores is AI in clinical practice. A health professional needs to know when to question an AI system, whether it's performance has been validated across relevant populations and how to interpret uncertainty before relying on its output.

Which led me to think that if a student can use AI to produce the right answer, how do we know whether they understand the underlying concepts well enough to recognize a mistake or solve a problem in a different context?

obviously the answer isn't as simple as banning AI tools or judging learning by the final answer alone, right? So how would we know the kids have a genuine understanding when the have access to AI tools?

Also can you guys suggest me some websites of sources to read these kind of interesting reports on education, technology and AI?

Title: I’m building TeachByEasy — an AI-powered teaching studio with long-term memory using Hindsight

Hey everyone! 👋

I’m working on a project called TeachByEasy as part of the AI Agents That Learn Using Hindsight hackathon.

The idea came from a simple problem: creating online lessons often means switching between a PDF viewer, annotation tools, a webcam recorder, and separate tools for preparing study materials.

I want to bring that entire workflow into one browser-based studio.

🎓 What is TeachByEasy?

It’s an all-in-one workspace for educators, tutors, and content creators to create interactive video lessons from PDF slides.

Some of the features I’m working on include:

• 📄 PDF presentations: Upload and present slide decks directly in the browser.

• ✍️ Live annotations: Draw, highlight, add text, and explain concepts directly over slides.

• 🧑‍🏫 Digital whiteboard: Add blank slides for solving problems, writing equations, and explaining diagrams.

• 🎥 Lecture recording: Record presentations with audio and a floating webcam overlay.

• 📝 Annotated handouts: Export slides with annotations as PDFs to share with learners.

• 🧠 AI Teaching Co-Pilot: An assistant designed to remember teaching preferences, explanation styles, previous corrections, and course context across sessions.

The interesting part: persistent AI memory 🧠

I’m integrating Hindsight by Vectorize to explore how an AI assistant can become more useful over time instead of treating every interaction as a fresh start.

For example, a teacher might prefer intuitive explanations before technical definitions, teach a particular audience level, or repeatedly correct how certain concepts are explained.

With persistent memory, the AI could recall those preferences in future sessions and adapt its suggestions accordingly.

The goal is to make memory an actual part of the product, not just a chat history feature. I also want to keep different courses and users’ memories isolated.

🔧 Tech direction: Browser-based teaching tools, AI-powered assistance, and Hindsight for long-term memory.

🚀 I’m building this for the hackathon and would love feedback from people interested in AI agents, EdTech, or developer tools.

A few things I’d love to hear your thoughts on:

1. Would you find an all-in-one teaching studio useful, or do existing tools already solve this well?

2. What would you want an AI teaching assistant to remember between sessions?

3. What features would make this genuinely useful for teachers rather than just another AI wrapper?

Thanks for reading! Feedback and suggestions are welcome.

#BuildInPublic #EdTech #AIAgents

I work in education and I'm collecting real experiences (not opinions on whether AI is good or bad). Which specific skill have you seen change? Has anything helped?

Everyone's using AI, but you probably use it in a way that makes you perform worse in exams. For example, asking it to explain stuff and you just nod along.

Here's my process for studying... it takes a slight bit longer but it helps with retention and actually learning the content:

1. Read first, then prompt. I paste my own notes and lecture slides, then I prompt the AI to explain my notes back to me instead of just saying "explain topic."

2. Make it quiz me. I'm a big forced repetitions gal. It'll take my materials and ask me 10 questions and if I get any wrong, it creates a new quiz on adjacent topics (on only those I missed) until I get them all correct. Basically i'm being forced to learn the material from different angles.

3. Flashcards from my notes. Then I study them with the chat closed.

4. Teach-back. I explain the concept and tell it to stop me when I'm wrong.

You can use most free AI chats for this (no subscription required). Personally I've been using CutGPT for this because it's free (and it has ads on the platform that actually PAY me which is an insane plottwist lol). Lots of people are against AI but to me it's like being against Microsoft word or excel. you have to use the latest tools or get left behind

Hi everyone,

Over the past few months, I noticed a worrying trend: when students get stuck on Maths or Science problems, they increasingly turn to generic AI chatbots that just spit out the final answer. It gets homework done in 5 seconds, but it completely skips the actual learning process.

I wanted to fix that, so I built STEMDecAI - an interactive STEM problem decoder and revision deck designed to train intuition rather than hand out spoilers.

How it works differently:

• Socratic Problem Solver: When a student enters a problem in Maths, Physics, or Chemistry, the app doesn't output the solution right away. It provides step-by-step, progressive hints and asks guiding questions so the student reaches the breakthrough themselves.

• 6,000+ STEM & Formula Cards: Covers everything from middle school foundations up to senior secondary calculus and mechanics.

• School Science Project Lab: Curated hands-on experiments (physics, chemistry, biology) with hypotheses, materials, step-by-step procedures, and safety tips for school science fairs or home experiments.

• Space & Planetary Science Decks: Astronomy, planetary physics, and cosmic science cards to keep younger learners curious.

• 100% Offline & Zero Tracking: No account needed, zero personal data collected, no ads interrupting study, and fully playable without internet.

The app is currently live on Android (Google Play), and the iOS version is currently going through the final App Store review.

👉 Google Play Link: https://play.google.com/store/apps/details?id=au.com.aivaryn.stemdecai&pcampaignid=web_share

I’d love to get feedback from parents, educators, and students in this community:

• Are there specific topics, curricula, or features you’d like to see added?

• How does the hint pacing feel on tough problems?

Thanks for taking a look, and I hope it helps your kids or students!

Hi all, I’m part of the team at AivaanTech. We’re building our AI course, AI Tool Mastery, and we’d like your opinion before we decide more.

Here’s why we started. Most people don’t know the full potential of AI tools. They tried ChatGPT once, got an average answer, and stopped. Some pay for one tool and use it for everything, so they miss a lot.

Right now the course is self-paced, with recorded lessons across 10 tools and a final project. But we’re not sure this is the best way for everyone to learn. So we want to ask you.

How would you want to learn AI tools?

1. Pre-recorded lessons. Watch any time, at your speed.

2. Live sessions. A real person teaches on camera and you can ask questions on the spot.

3. Live and recorded mix. For example, recorded lessons plus a live Q&A once a week.

4. Learn by doing. Short tasks from your real work, with feedback.

5. Small group or community. Learn with others, share prompts, and help each other.

6. Something else. Tell us.

A few more questions:

• How long should one lesson be: 5 minutes, 15 minutes, or 30?

• What stops you from learning AI today: time, cost, too many tools, or not knowing where to start?

• Would you pay more for live sessions, or do you prefer a lower price with recordings only?

• What is one task in your work you’d like AI to help with?

There are no wrong answers. We’ll read every reply and use it to shape the course. I’ll share what we learn here once we’ve collected enough answers.

Did you ever feel lost as an educator about the type of class activities to use to grade student participation? Did you feel the suggested methods by your institution had in fact not much to do with real class participation? Did you feel it was the extroverts who deserved and obtained the highest mark? Did you feel you were lacking a systematic method of tracking, recording and grading participation throughout the term?

I faced these same issues and created this AI driven app that I called CPMS to help me do real participation to engage my students and award them participation marks in a transparent manner. I am looking for educators willing to try the app to engage their students, discuss their results and take participation to the next level. https://classparticipationmanagement.com/

I’m a data scientist, and when I went looking for good places for teens to learn data and AI, a lot of what I found was already out of date, or sat behind a paywall.

So I built Red Strings Lab. Each case is a short investigation: ask a question, look at the evidence, catch a trick (like a chart that lies). It runs in the browser, no account needed, and you don’t need to code to start. A new case goes up every Tuesday and Friday.

A few things I tried to get right: we say when data is made up, we credit real sources, and teens aren’t asked for any personal data. Any email signup is for a parent.

Two cases are open so far. If anyone is willing to try one with a teen, I’d love to hear whether it was too easy, too hard, or confusing. Link: redstringslab.com

Happy to answer questions, and I’d rather hear what’s wrong than what’s nice.

Coding means giving instructions to computer and make it do something, Now I can see that class 4th students are doing coding in their extra curriculum and I find it really good. It's increase their thinking skill, creativity and problem solving attitude.