50 citations · 168 across the 13 of their papers we have counts for
14 papers
Correctness, Convergence, and AI-Generated Code Detection: A Longitudinal Study of Student and Large Language Model Code in Introductory Programming
Runlong Ye, Jing Fan, Angela Zavaleta Bernuy +4
Large language models can generate plausible solutions to programming assignments, making it tempting to detect their use by matching student code against a reference bank of gener…
From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviews
Runlong Ye, Naaz Sibia, Angela Zavaleta Bernuy +4
Systematic Literature Reviews (SLRs) are fundamental to scientific progress, yet the process is hindered by a fragmented tool ecosystem that imposes a high cognitive load. This fri…
A Comparative Study of Student Perspectives on Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics
Suqing Liu, Runlong Ye, Christopher Eaton +2
To address the scalability of feedback in computer science while mitigating the privacy and cost limitations of commercial Large Language Models (LLMs), this study evaluates a loca…
From Code to Concept: Evaluating Multiple Coordinated Views in Introductory Programming
Naaz Sibia, Valeria Ramirez Osorio, Jessica Wen +5
Novice programmers often struggle to understand how code executes and to form the abstract mental models necessary for effective problem-solving, challenges that are amplified in l…
Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions
Ananya Bhattacharjee, Sarah Yi Xu, Pranav Rao +8
Stories about overcoming personal struggles can effectively illustrate the application of psychological theories in real life, yet they may fail to resonate with individuals' exper…
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,…
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,…
Detecting LLM-Generated Text in Computing Education: A Comparative Study for ChatGPT Cases
Michael Sheinman Orenstrakh, Oscar Karnalim, Carlos Anibal Suarez +1
Due to the recent improvements and wide availability of Large Language Models (LLMs), they have posed a serious threat to academic integrity in education. Modern LLM-generated text…
Student Usage of Q&A Forums: Signs of Discomfort?
Naaz Sibia, Angela Zavaleta Bernuy, Joseph Jay Williams +2
Q&A forums are widely used in large classes to provide scalable support. In addition to offering students a space to ask questions, these forums aim to create a community and promo…
Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits
Fernando J. Yanez, Angela Zavaleta-Bernuy, Ziwen Han +3
Conducting randomized experiments in education settings raises the question of how we can use machine learning techniques to improve educational interventions. Using Multi-Armed Ba…