3 papers
cs.MA2025
Addressing Situated Teaching Needs: A Multi-Agent Framework for Automated Slide Adaptation
Binglin Liu, Yucheng Wang, Zheyuan Zhang +5
The adaptation of teaching slides to instructors' situated teaching needs, including pedagogical styles and their students' context, is a critical yet time-consuming task for educa…
cs.CY2025
AI instructional agent improves student's perceived learner control and learning outcome: empirical evidence from a randomized controlled trial
Fei Qin, Zhanxin Hao, Jifan Yu +2
This study examines the impact of an AI instructional agent on students' perceived learner control and academic performance in a medium demanding course with lecturing as the main…
cs.AI2025
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style
Debdeep Sanyal, Agniva Maiti, Umakanta Maharana +4
Effective teaching requires adapting instructional strategies to accommodate the diverse cognitive and behavioral profiles of students, a persistent challenge in education and teac…