4 citations · 11 across the 12 of their papers we have counts for
3 papers · 1 filter
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…
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…
Towards Scalable Automated Grading: Leveraging Large Language Models for Conceptual Question Evaluation in Engineering
Rujun Gao, Xiaosu Guo, Xiaodi Li +3
This study explores the feasibility of using large language models (LLMs), specifically GPT-4o (ChatGPT), for automated grading of conceptual questions in an undergraduate Mechanic…