2 citations · 5 across the 5 of their papers we have counts for
5 papers
Beyond Problem Solving: Large Language Models for Emotional and Reflective Support in Mathematics Learning
Vera Rief, Mirella Hladký, Minju Yoo +3
Intelligent Tutoring Systems (ITSs) traditionally focus their adaptive support on cognitive aspects of learning. Although effective, little is known about how such systems can be e…
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…
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…
Beyond Tools: Understanding How Heavy Users Integrate LLMs into Everyday Tasks and Decision-Making
Eunhye Kim, Kiroong Choe, Minju Yoo +2
Large language models (LLMs) are increasingly used for both everyday and specialized tasks. While HCI research focuses on domain-specific applications, little is known about how he…
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…