50 citations · 173 across the 8 of their papers we have counts for
8 papers
Adaptive Experiments Under Data Sparse Settings: Applications for Educational Platforms
Haochen Song, Ilya Musabirov, Ananya Bhattacharjee +4
Adaptive experimentation is increasingly used in educational platforms to personalize learning through dynamic content and feedback. However, standard adaptive strategies such as T…
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…
Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms
Harsh Kumar, Ruiwei Xiao, Benjamin Lawson +8
Self-reflection on learning experiences constitutes a fundamental cognitive process, essential for the consolidation of knowledge and the enhancement of learning efficacy. However,…
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health
Harsh Kumar, Tong Li, Jiakai Shi +11
Digital mental health (DMH) interventions, such as text-message-based lessons and activities, offer immense potential for accessible mental health support. While these intervention…
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,…
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…