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Enhancing Diversity of LLM-Generated Educational Tasks
Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla
Large language models (LLMs) have shown the potential for generating educational content at scale, assisting educators in creating practice tasks or synthesizing data for training…
Prompt Optimization Across Multiple Agents for Representing Diverse Human Populations
Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla
The difficulty and expense of obtaining large-scale human responses make Large Language Models (LLMs) an attractive alternative and a promising proxy for human behavior. However, p…
Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment
Chao Wen, Jacqueline Staub, Adish Singla
Large language and multimodal models have shown remarkable success on various benchmarks focused on specific skills such as general-purpose programming, math word problem-solving,…
Synthesizing High-Quality Programming Tasks with LLM-based Expert and Student Agents
Manh Hung Nguyen, Victor-Alexandru PÄdurean, Alkis Gotovos +2
Generative AI is transforming computing education by enabling the automatic generation of personalized content and feedback. We investigate its capabilities in providing high-quali…
ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs
Bahar Radmehr, Ekaterina Shved, Fatma Betül GüreŠ+2
Clickstream data from digital learning environments offer valuable insights into students' learning behaviors, but are challenging to interpret due to their high dimensionality and…
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
Victor-Alexandru PÄdurean, Adish Singla
Generative models have demonstrated human-level proficiency in various benchmarks across domains like programming, natural sciences, and general knowledge. Despite these promising…