Measuring task difficulty for online learning environments where multiple attempts are allowed - the Elo rating algorithm approach. - Maciej Pankiewicz (EDM, 2020)

A warm-up for adaptive online learning environments - the Elo rating approach for assessing the cold start problem. - Maciej Pankiewicz (ICCE, 2020)

Assessing the Cold Start Problem in Adaptive Systems. - Maciej Pankiewicz (ITiCSE (2), 2021)

On-the-fly Estimation of Task Difficulty for Item-based Adaptive Online Learning Environments. - Maciej Pankiewicz; Marcin Bator (ITiCSE (1), 2021)

Using Intelligent Tutoring on the First Steps of Learning to Program: Affective and Learning Outcomes. - Maciej Pankiewicz; Ryan Baker 001; Jaclyn Ocumpaugh (AIED (Posters/Late Breaking Results/...), 2023)

Measuring Self-regulated Learning Processes in Computer Science Education. - Elizabeth B. Cloude; Ryan S. Baker 001; Maciej Pankiewicz (ICCE, 2023)

Large Language Models (GPT) for automating feedback on programming assignments. - Maciej Pankiewicz; Ryan S. Baker 001 (ICCE, 2023)

Leveraging Large Language Models for Next-Generation Educational Technologies. - Neil T. Heffernan; Rose E. Wang; Christopher MacLellan; Arto Hellas; Chenglu Li; Candace A. Walkington; Joshua Littenberg-Tobias; David Joyner; Steven Moore; Adish Singla; Zach A. Pardos; Maciej Pankiewicz; et al. (EDM, 2024)

De-Identifying Student Personally Identifying Information with GPT-4. - Shreya Singhal; Andres Felipe Zambrano; Maciej Pankiewicz; Xiner Liu; Chelsea Porter; Ryan S. Baker 001 (EDM, 2024)

Navigating Compiler Errors with AI Assistance - A Study of GPT Hints in an Introductory Programming Course. - Maciej Pankiewicz; Ryan Shaun Baker (ITiCSE (1), 2024)

Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades. - Valdemar Svábenský; Maciej Pankiewicz; Jiayi Zhang 004; Elizabeth B. Cloude; Ryan Shaun Baker; Eric Fouh (ITiCSE (1), 2024)

Ordered Network Analysis in CS Education: Unveiling Patterns of Success and Struggle in Automated Programming Assessment. - Andres Felipe Zambrano; Maciej Pankiewicz; Amanda Barany; Ryan Shaun Baker (ITiCSE (1), 2024)

Students' Use of an LLM-Powered Virtual Teaching Assistant for Recommending Educational Applications of Games. - Mamta Shah; Maciej Pankiewicz; Ryan S. Baker 001; Jiahui Chi; Yue Xin; Hetali Shah; Dangela Fonseca (JCSG, 2024)

Usage Patterns and Performance Gains in Gamified Online Judges: A Data-Driven Analysis Informed by Cognitive Psychology in CS1. - Luiz A. L. Rodrigues; Andres Felipe Zambrano; Maciej Pankiewicz; Amanda Barany; Ryan Baker 001 (AIED (6), 2025)

Enhancing Student Focus and Problem-Solving with Real-Time LLM Feedback on Compiler Errors. - Maciej Pankiewicz; Ryan S. Baker 001 (EC-TE (1), 2025)

srcML-DKT: Enhancing Deep Knowledge Tracing with Robust Code Representations from srcML. - Maciej Pankiewicz; Yang Shi 004; Ryan S. Baker 001 (EDM, 2025)

Qualitative Coding with GPT-4: Where it Works Better. - Xiner Liu; Andres Felipe Zambrano; Ryan S. Baker 001; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang 004; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei (J. Learn. Anal., 2025)