2 citations · 2 across the 4 of their papers we have counts for
5 papers
STEPwise: Supporting Teachers in Diagnosing Students' Mathematical Problem-Solving Skills through LLM-Generated Questions and Rubric
Yoonsu Kim, Hayeon Doh, Eunhye Kim +2
Problem-solving is central to mathematics education. However, diagnosing where students' reasoning breaks down requires individualized probing and consistent criteria that teachers…
Supporting Tutors in the Gig Economy with Automated Feedback: A Case Study on Ringle
Yeon Su Park, Sieun Kim, Keighley Overbay +4
The rise of online tutoring platforms in the gig economy has made education more scalable, flexible, and on-demand. These platforms rely on learner evaluations as the primary feedb…
Hint-Writing with Deferred AI Assistance: Fostering Critical Engagement in Data Science Education
Anjali Singh, Christopher Brooks, Warren Li +2
Generating hints for incorrect code is a cognitively demanding task that fosters learning and metacognitive development. This study investigates three designs for personalized, sca…
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…
Benchmarking Large Language Models for Diagnosing Students' Cognitive Skills from Handwritten Math Work
Yoonsu Kim, Hyoungwook Jin, Hayeon Doh +6
Students' handwritten math work provides a rich resource for diagnosing cognitive skills, as it captures intermediate reasoning beyond final answers. We investigate how current lar…