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20222025
most citedSupporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms

50 citations · 173 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.HC2024

Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries

Harsh Kumar, Mohi Reza, Jeb Mitchell +3

Growth in the use of large language models (LLMs) in programming education is altering how students write SQL queries. Traditionally, students relied heavily on web search for codi…

cs.HC2023★ 33 cited

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 (…

cs.HC2023★ 3 cited

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…

cs.HC2023★ 49 cited

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,…

cs.HC2022★ 27 cited

Exploring The Design of Prompts For Applying GPT-3 based Chatbots: A Mental Wellbeing Case Study on Mechanical Turk

Harsh Kumar, Ilya Musabirov, Jiakai Shi +5

Large-Language Models like GPT-3 have the potential to enable HCI designers and researchers to create more human-like and helpful chatbots for specific applications. But evaluating…