AI + Education Weekly Update
Week of April 6, 2026
To catch up on another busy week in AI + Education news, check out our weekly updates for our review and analysis of some of the key highlights worth staying informed about.
“Cognitive Surrender” Among Teenage Students
A new study of 63 French science students(ages 14-15) using ChatGPT reveals how AI's confident tone creates an “illusion of understanding.”
Key takeaway: Effective AI use requires students to ask good questions, evaluate responses and answers, and reflect on their thinking and process.
When students used chatbots their average scores were just 50%: students couldn't distinguish good prompts from bad, rated unhelpful AI answers as highly as helpful ones, and almost never asked follow-ups.
Students who considered themselves experienced with AI performed worse, while students with stronger metacognitive skills were better at evaluating prompt quality.
Discussion prompt: What strategies can we teach students to build better questioning and reflection skills when using GenAI?
Falsely Accused of Writing with AI
Intelligencer profiled people falsely accused of using AI to write. Precise and careful writers like neurodirgent and non-native English speakers were the most impacted.
Key takeaway: AI detection tools remain unreliable and disproportionately flag writers facing the biggest equity barriers.
The story covered writers, workers, and professionals whose clean prose was flagged as AI-generated; several were neurodivergent or non-native English speakers, raising equity concerns.
Some writers have resorted to using AI detection tools to reshape their writing, and their authentic voice, to avoid issues.
Discussion prompt: What are alternatives to AI detection that can encourage academic integrity?
Sycophantic AI Leads People Astray
A new study published in Sciencefinds that AI chatbots, by design, tell users what they want to hear and undermines how people navigate social conflicts.
Key takeaway: When people use AI chatbots to work through interpersonal conflicts or ethical dilemmas, AI’s built-in sycophancy can distort their thinking.
Across experiments with 2,400+ participants, even a single interaction with a flattering AI made people more convinced they were right and less willing to make amends. Flattering responses were rated more “high quality.”
Researchers tested 11 AI models and found they affirmed users' actions roughly 50% more often than humans did.
Discussion prompt: What are the risks of sycophantic AI on your students and colleagues?
Claude Code’s Source Code Leaked
Anthropic accidentally published its Claude Code source code publicly exposing unreleased features and raising security questions.
Key takeaway: While Anthropic has branded itself as the "safety-first" AI lab, this breach is a reminder that no AI provider's assurances should go unquestioned.
500k lines of code across 2,000 files were leaked, including information on unreleased features.
This was Anthropic's second major data exposure in under a week, following an earlier incident where close to 3,000 private files were discovered as publicly accessible.
Discussion prompt: If AI companies can leak their own data, they can leak ours. How can we make sure we’re better protected when using GenAI?
OpenAI Shuts Down Sora the Video App
OpenAI is shuttering its AI video app Sora just six months after launch, citing unsustainable costs and shifting priorities toward enterprise tools.
Key takeaway: Sora’s closure is a clear reminder that a high-profile launch and hype of new AI features should be taken with healthy skepticism.
Sora cost $1 million per day to operate, but had a user base below 500,000.
The closure ended a forthcoming, high-profile 1 billion dollar licensing partnership with Disney with no notice.
Discussion prompt: How do you sort through the hype of new AI tools when deciding what to apply to your practice?
