19 citations · 40 across the 16 of their papers we have counts for
16 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…
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…
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…
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…
Democratizing Foundations of Problem-Solving with AI: A Breadth-First Search Curriculum for Middle School Students
Griffin Pitts, Kimia Fazeli, Tirth Bhatt +5
As AI becomes more common in students' everyday experiences, a major challenge for K-12 AI education is designing learning experiences that can be meaningfully integrated into exis…
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…
What Drives Students' Use of AI Chatbots? Technology Acceptance in Conversational AI
Griffin Pitts, Sanaz Motamedi
Conversational AI tools have been rapidly adopted by students and are becoming part of their learning routines. This widespread use comes amid ongoing concerns about the reliabilit…
A Survey of LLM-Based Applications in Programming Education: Balancing Automation and Human Oversight
Griffin Pitts, Anurata Prabha Hridi, Arun-Balajiee Lekshmi-Narayanan
Novice programmers benefit from timely, personalized support that addresses individual learning gaps, yet the availability of instructors and teaching assistants is inherently limi…
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…
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.…
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…
Impact of eHMI on Pedestrians' Interactions with Level-5 Automated Driving Systems
Viktoria Marcus, Griffin Pitts, Sanaz Motamedi
Each year, over half of global traffic fatalities involve vulnerable road users (e.g. pedestrians), often due to human error. Level-5 automated driving systems (ADSs) could reduce…
Students' Reliance on AI in Higher Education: Identifying Contributing Factors
Griffin Pitts, Neha Rani, Weedguet Mildort +1
The increasing availability and use of artificial intelligence (AI) tools in educational settings has raised concerns about students' overreliance on these technologies. Overrelian…
Student Perspectives on the Benefits and Risks of AI in Education
Griffin Pitts, Viktoria Marcus, Sanaz Motamedi
The use of chatbots equipped with artificial intelligence (AI) in educational settings has increased in recent years, showing potential to support teaching and learning. However, t…
Understanding Human-AI Trust in Education
Griffin Pitts, Sanaz Motamedi
As AI chatbots become integrated in education, students are turning to these systems for guidance, feedback, and information. However, the anthropomorphic characteristics of these…