LessonPlanner: Assisting novice teachers to prepare pedagogy-driven lesson plans with large language models

H Fan, G Chen, X Wang, Z Peng - Proceedings of the 37th Annual ACM …, 2024 - dl.acm.org
Preparing a lesson plan, eg, a detailed road map with strategies and materials for instructing
a 90-minute class, is beneficial yet challenging for novice teachers. Large language models …

Elevating Learning Experiences: Leveraging Large Language Models as Student-Facing Assistants in Discussion Forums

C Mitra, M Miroyan, R Jain, V Kumud… - Proceedings of the 55th …, 2024 - dl.acm.org
Recent advancements in instruction-tuned large language models offer new potential for
enhancing students' experiences in large-scale classes. Deploying LLMs as student-facing …

" My Grade is Wrong!": A Contestable AI Framework for Interactive Feedback in Evaluating Student Essays

S Hong, C Cai, S Du, H Feng, S Liu, X Fan - arXiv preprint arXiv …, 2024 - arxiv.org
Interactive feedback, where feedback flows in both directions between teacher and student,
is more effective than traditional one-way feedback. However, it is often too time-consuming …

AI in Computing Education from Research to Practice

B Akram, J Leinonen, N Norouzi, J Prather… - Proceedings of the 55th …, 2024 - dl.acm.org
The panel comprises a diverse set of Computing educators working on AI in education. The
panelists will address four areas of AI in Computing education: 1) AI for introductory CS …

Optimizing E-Learning Environments: Leveraging Large Language Models for Personalized Education Pathways

F Liu, Y Wang, Q Feng, L Zhu, G Li - 2024 5th International …, 2024 - atlantis-press.com
This study explores the integration of Large Language Models (LLMs) into e-learning
platforms to create personalized education pathways, aiming to optimize learning outcomes …