5 papers
Ensuring Reliability in Programming Knowledge Tracing: A Re-evaluation of Attention-augmented Models and Experimental Protocols
Jaewook Kim, Hyeoncheol Kim
Programming Knowledge Tracing (PKT) has recently advanced through hybrid approaches that integrate attention-based feature modeling for code representation with RNN-based sequentia…
Evaluating LLMs for Police Decision-Making: A Framework Based on Police Action Scenarios
Sangyub Lee, Heedou Kim, Hyeoncheol Kim
The use of Large Language Models (LLMs) in police operations is growing, yet an evaluation framework tailored to police operations remains absent. While LLM's responses may not alw…
Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark
Unggi Lee, Jaeyong Lee, Jiyeong Bae +6
Recent advances in large reasoning models (LRMs) show strong performance in structured domains such as mathematics and programming; however, they often lack pedagogical coherence a…
How Can Video Generative AI Transform K-12 Education? Examining Teachers' Perspectives through TPACK and TAM
Unggi Lee, Yeil Jeong, Seungha Kim +4
The rapid advancement of generative AI technology, particularly video generative AI (Video GenAI), has opened new possibilities for K-12 education by enabling the creation of dynam…
Echo-Teddy: Preliminary Design and Development of Large Language Model-based Social Robot for Autistic Students
Unggi Lee, Hansung Kim, Juhong Eom +9
Autistic students often face challenges in social interaction, which can hinder their educational and personal development. This study introduces Echo-Teddy, a Large Language Model…