Maciej Pankiewicz

23 papers A 1B 4C 3Journal 5Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A conf
Practice as the Key to Success: Understanding the Role of Prior Knowledge, Affective States and Learning Resources in Computer Science Education.
LAK
Andres Felipe Zambrano, Jiayi Zhang, Maciej Pankiewicz, Ryan S. Baker
2026 J jnl
The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?
CoRR
Jennifer Meyer, Olaf Köller, Thorben Jansen, Johanna Fleckenstein, Michael W. Asher, Sarah Bichler, Laura Brandl, Jasmin Breitwieser, Kai S. Cortina, Mutlu Cukurova, Martin Daumiller, Hannah Deininger, Frank Fischer, Dragan Gasevic, Jeanine Grutter, Anna Hilz, Ioana Jivet, Jelena Jovanovic, René F. Kizilcec, Livia Kuklick, Marlit Annalena Lindner, Anastasiya Lipnevich, Ute Mertens, Detmar Meurers, Kou Murayama, Tanya Nazaretsky, Knut Neumann, Ernesto Panadero, Maciej Pankiewicz, Zachary A. Pardos, Chris Piech, Hannah Pünjer, Nikol Rummel, Marlene Steinbach, Olga Viberg, Naomi E. Winstone
2025 — conf
Enhancing Student Focus and Problem-Solving with Real-Time LLM Feedback on Compiler Errors.
EC-TE (1)
Maciej Pankiewicz, Ryan S. Baker
2025 J jnl
Qualitative Coding with GPT-4: Where it Works Better.
J. Learn. Anal.
Xiner Liu, Andres Felipe Zambrano, Ryan S. Baker, Amanda Barany, Jaclyn Ocumpaugh, Jiayi Zhang, Maciej Pankiewicz, Nidhi Nasiar, Zhanlan Wei
2025 — conf
Usage Patterns and Performance Gains in Gamified Online Judges: A Data-Driven Analysis Informed by Cognitive Psychology in CS1.
AIED (6)
Luiz A. L. Rodrigues, Andres Felipe Zambrano, Maciej Pankiewicz, Amanda Barany, Ryan Baker
2025 B conf
srcML-DKT: Enhancing Deep Knowledge Tracing with Robust Code Representations from srcML.
EDM
Maciej Pankiewicz, Yang Shi, Ryan S. Baker
2024 — conf
Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades.
ITiCSE (1)
Valdemar Svábenský, Maciej Pankiewicz, Jiayi Zhang, Elizabeth B. Cloude, Ryan Shaun Baker, Eric Fouh
2024 J jnl
Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades.
CoRR
Valdemar Svábenský, Maciej Pankiewicz, Jiayi Zhang, Elizabeth B. Cloude, Ryan S. Baker, Eric Fouh
2024 B conf
De-Identifying Student Personally Identifying Information with GPT-4.
EDM
Shreya Singhal, Andres Felipe Zambrano, Maciej Pankiewicz, Xiner Liu, Chelsea Porter, Ryan S. Baker
2024 — ed.
Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), Atlanta, Georgia, USA, July 14, 2024.
HEXED/L3MNGET@EDM
Juan D. Pinto, Eamon Worden, Anthony Botelho, Lea Cohausz, Clayton Cohn, Mingyu Feng, Neil T. Heffernan, Arto Hellas, Lan Jiang, David Joyner, Tanja Käser, Juho Kim, Andrew S. Lan, Chenglu Li, Joshua Littenberg-Tobias, Qianhui Liu, Christopher MacLellan, Steven Moore, Maciej Pankiewicz, Luc Paquette, Zach A. Pardos, Anna N. Rafferty, Adish Singla, Shashank Sonkar, Vinitra Swamy, Rose E. Wang, Candace A. Walkington
2024 B conf
Leveraging Large Language Models for Next-Generation Educational Technologies.
EDM
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, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew S. Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden
2024 — conf
Navigating Compiler Errors with AI Assistance - A Study of GPT Hints in an Introductory Programming Course.
ITiCSE (1)
Maciej Pankiewicz, Ryan Shaun Baker
2024 J jnl
Navigating Compiler Errors with AI Assistance - A Study of GPT Hints in an Introductory Programming Course.
CoRR
Maciej Pankiewicz, Ryan Shaun Baker
2024 — conf
Ordered Network Analysis in CS Education: Unveiling Patterns of Success and Struggle in Automated Programming Assessment.
ITiCSE (1)
Andres Felipe Zambrano, Maciej Pankiewicz, Amanda Barany, Ryan Shaun Baker
2024 — conf
Students' Use of an LLM-Powered Virtual Teaching Assistant for Recommending Educational Applications of Games.
JCSG
Mamta Shah, Maciej Pankiewicz, Ryan S. Baker, Jiahui Chi, Yue Xin, Hetali Shah, Dangela Fonseca
2023 C conf
Large Language Models (GPT) for automating feedback on programming assignments.
ICCE
Maciej Pankiewicz, Ryan S. Baker
2023 J jnl
Large Language Models (GPT) for automating feedback on programming assignments.
CoRR
Maciej Pankiewicz, Ryan Shaun Baker
2023 C conf
Measuring Self-regulated Learning Processes in Computer Science Education.
ICCE
Elizabeth B. Cloude, Ryan S. Baker, Maciej Pankiewicz
2023 — conf
Using Intelligent Tutoring on the First Steps of Learning to Program: Affective and Learning Outcomes.
AIED (Posters/Late Breaking Results/...)
Maciej Pankiewicz, Ryan Baker, Jaclyn Ocumpaugh
2021 — conf
Assessing the Cold Start Problem in Adaptive Systems.
ITiCSE (2)
Maciej Pankiewicz
2021 — conf
On-the-fly Estimation of Task Difficulty for Item-based Adaptive Online Learning Environments.
ITiCSE (1)
Maciej Pankiewicz, Marcin Bator
2020 C conf
A warm-up for adaptive online learning environments - the Elo rating approach for assessing the cold start problem.
ICCE
Maciej Pankiewicz
2020 B conf
Measuring task difficulty for online learning environments where multiple attempts are allowed - the Elo rating algorithm approach.
EDM
Maciej Pankiewicz