Ideas, research notes, and discussions on AI and emerging technologies in STEM education.
GitHub is for developers. Why not make research tools like ChatGPT? Informal discussions across Jeju crystallized key insights: natural language interfaces, AI-powered transcription, and building capacity - not just completing tasks.
Read the Full PostThere is no free lunch. Every AI opportunity comes with risks. A framework for building AI proficiency - not coding, but using AI responsibly and critically.
Bridging African indigenous knowledge with emerging technologies. VR for cultural-science connections, Socratic AI tutors, and microteaching analytics.
Real-time AI assessment solving the "Billy vs Johnny" problem. 20M+ investigations, Rex AI tutor, and teacher dashboards with 170-day transfer effects.
From information literacy to AI literacy. Faculty workshops, LLM as intellectual partner, and defining what educators need to know about generative AI.
The Truman Show meets AI: Creating virtual societies to test policies, train teachers, and understand human behavior through agent-based simulation.
Tracking student learning in real-time to identify critical intervention moments. Digital worksheets, machine learning, and teacher dashboards.
Reading students' minds through facial expressions. Inspired by "Lie to Me," applying emotion recognition to detect confusion during science learning.
40 years of curriculum development meets AI. Digital collaboration platform for middle school math with real-time strategy tracking.
Multi-agent AI that asks questions instead of giving answers. Randomized controlled trial proves impact on teachers AND students.
Jeju students share honest perspectives: AI for research, coding, and learning - plus concerns about accuracy, over-reliance, and the copy-paste problem.
Framework development, conference models, and global collaboration. How do we create something truly different - theory-driven, data-driven, and globally inclusive?
GitHub is for developers. Why not make research tools like ChatGPT? Plus: AI-powered transcription, building capacity vs completing tasks, and more.
From expert systems to generative AI: How the evolution of AI fundamentally changes assessment. Featuring Jiliang Tang's forum presentation.
Using five AI agents to detect uncertainty and support teacher decision-making. When AI is uncertain, humans are too—the same points of confusion.
When can we trust AI for high-stakes decisions? Candid debate between cognitive scientists, physics & math educators on AI reliability and domain specificity.
Why traditional journals are too slow for AI research. A new model embracing AI for transcription, summarization, and exploration of academic discussions.
Recap from our inaugural gathering at Jeju National University. Key themes included AI readiness, teacher professional development, and cross-cultural collaboration.
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