collaborators

16 papers

cs.HC2026

Human-Centered Design for Connected Automation: Predicting Pedestrian Crossing Intentions

Sanaz Motamedi, Viktoria Marcus, Griffin Pitts

More than half of the 1.19 million annual traffic fatalities globally involve vulnerable road users, such as pedestrians, with a significant proportion attributable to human error.…

cs.CY2026

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…

cs.HC2026

Trust and Reliance on AI in Education: AI Literacy and Need for Cognition as Moderators

Griffin Pitts, Neha Rani, Weedguet Mildort

As generative AI systems are integrated into educational settings, students often encounter AI-generated output while working through learning tasks, either by requesting help or t…

cs.CY2026

Engineering Students' Self-Efficacy, Perceptions, and Performance in a Flipped CS1 Course

Griffin Pitts, Ashish Aggarwal

This full research paper investigates how engineering students' course-related beliefs relate to exam performance in a flipped introductory programming course. Understanding factor…

cs.AI2026

Retrieval-Augmented Tutoring for Algorithm Tracing and Problem-Solving in AI Education

Mragisha Jain, Tirth Bhatt, Griffin Pitts +6

Students learning algorithms often need support as they interpret traces, debug reasoning errors, and apply procedures across unfamiliar problem instances. In this paper, we presen…

cs.CY2026

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…