50 citations · 168 across the 13 of their papers we have counts for
4 papers · 2 filters
Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination
Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu +9
Traditional interventions for academic procrastination often fail to capture the nuanced, individual-specific factors that underlie them. Large language models (LLMs) hold immense…
Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception
Harsh Kumar, Ilya Musabirov, Mohi Reza +5
Personalized chatbot-based teaching assistants can be crucial in addressing increasing classroom sizes, especially where direct teacher presence is limited. Large language models (…
Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science Education
Ilya Musabirov, Angela Zavaleta-Bernuy, Pan Chen +2
Randomized A/B comparisons of alternative pedagogical strategies or other course improvements could provide useful empirical evidence for instructor decision-making. However, tradi…
ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models
Mohi Reza, Nathan Laundry, Ilya Musabirov +7
Exploring alternative ideas by rewriting text is integral to the writing process. State-of-the-art Large Language Models (LLMs) can simplify writing variation generation. However,…