93 citations · 97 across the 6 of their papers we have counts for
7 papers · 1 filter
LINK: A Corpus-Grounded Design Pattern Library for Educational Technologies
Lorena Lyon, Hyoungwook Jin, Vincent Cavez +3
Designing learning interfaces is often an ill-structured problem: effective solutions depend on learning goals, subject matter, learner characteristics, and interaction context tha…
What Do We Need for an Agentic Society?
Kwon Ko, Hyoungwook Jin
Thirty years ago, Wooldridge and Jennings defined intelligent agents through four properties: autonomy, reactivity, pro-activeness, and social ability. Today, advances in AI can em…
RelianceScope: An Analytical Framework for Examining Students' Reliance on Generative AI Chatbots in Problem Solving
Hyoungwook Jin, Minju Yoo, Jieun Han +3
Generative AI chatbots enable personalized problem-solving, but effective learning requires students to self-regulate both how they seek help and how they use AI-generated response…
When Scaffolding Breaks: Investigating Student Interaction with LLM-Based Writing Support in Real-Time K-12 EFL Classrooms
Junho Myung, Hyunseung Lim, Hana Oh +6
Large language models (LLMs) are promising tools for scaffolding students' English writing skills, but their effectiveness in real-time K-12 classrooms remains underexplored. Addre…
How Do Teachers Create Pedagogical Chatbots?: Current Practices and Challenges
Minju Yoo, Hyoungwook Jin, Juho Kim
AI chatbots have emerged as promising educational tools for personalized learning experiences, with advances in large language models (LLMs) enabling teachers to create and customi…
TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Students
Hyoungwook Jin, Minju Yoo, Jeongeon Park +3
Large language models (LLMs) can empower teachers to build pedagogical conversational agents (PCAs) customized for their students. As students have different prior knowledge and mo…
Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education
Hyoungwook Jin, Seonghee Lee, Hyungyu Shin +1
This work investigates large language models (LLMs) as teachable agents for learning by teaching (LBT). LBT with teachable agents helps learners identify knowledge gaps and discove…