1 citations · 2 across the 7 of their papers we have counts for
8 papers
Automated Recommendation of Programming Learning Content Using Pattern-based Knowledge Components
Muntasir Hoq, Griffin Pitts, Zhangqi Duan +5
Introductory programming instruction relies on hands-on practice and short learning activities to support mastery of foundational concepts. Although many such learning resources ex…
An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration
Muntasir Hoq, Griffin Pitts, Bradford Mott +6
Active learning is widely recognized as an effective approach for improving learning outcomes in introductory programming courses. However, insufficient instructional support often…
Personalized Worked Example Generation from Student Code Submissions Using Pattern-based Knowledge Components
Griffin Pitts, Muntasir Hoq, Peter Brusilovsky +4
Adaptive programming practice often relies on fixed libraries of worked examples and practice problems, which require substantial authoring effort and may not correspond well to th…
Automated Program Repair of Uncompilable Student Code
Griffin Pitts, Aum Pandya, Darsh Rank +3
A significant portion of student programming submissions in CS1 learning environments are uncompilable, limiting their use in student modeling and downstream knowledge tracing. Tra…
Pattern-based Knowledge Component Extraction from Student Code Using Representation Learning
Muntasir Hoq, Griffin Pitts, Tirth Bhatt +4
Personalized instruction aims to provide learners with support that adapts to their individual knowledge and progress toward learning objectives. Discovering and tracing Knowledge…
Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions
Muntasir Hoq, Ananya Rao, Reisha Jaishankar +7
In Computer Science (CS) education, understanding factors contributing to students' programming difficulties is crucial for effective learning support. By identifying specific issu…
Facilitating Instructors-LLM Collaboration for Problem Design in Introductory Programming Classrooms
Muntasir Hoq, Jessica Vandenberg, Shuyin Jiao +5
Advancements in Large Language Models (LLMs), such as ChatGPT, offer significant opportunities to enhance instructional support in introductory programming courses. While extensive…
Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning
Anurata Prabha Hridi, Muntasir Hoq, Zhikai Gao +4
Social interactions among classroom peers, represented as social learning networks (SLNs), play a crucial role in enhancing learning outcomes. While SLN analysis has recently garne…