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2020 – today
- 2024
[c10]Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden:
Leveraging Large Language Models for Next-Generation Educational Technologies. EDM 2024- [c9]Shreya Singhal, Andres Felipe Zambrano, Maciej Pankiewicz, Xiner Liu, Chelsea Porter, Ryan S. Baker:
De-Identifying Student Personally Identifying Information with GPT-4. EDM 2024 - [c8]Maciej Pankiewicz
, Ryan Shaun Baker:
Navigating Compiler Errors with AI Assistance - A Study of GPT Hints in an Introductory Programming Course. ITiCSE (1) 2024 - [c7]Valdemar Svábenský, Maciej Pankiewicz, Jiayi Zhang, Elizabeth B. Cloude, Ryan Shaun Baker, Eric Fouh:
Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades. ITiCSE (1) 2024 - [c6]Andres Felipe Zambrano, Maciej Pankiewicz, Amanda Barany, Ryan Shaun Baker:
Ordered Network Analysis in CS Education: Unveiling Patterns of Success and Struggle in Automated Programming Assessment. ITiCSE (1) 2024 - [c5]Mamta Shah, Maciej Pankiewicz, Ryan S. Baker, Jiahui Chi, Yue Xin, Hetali Shah, Dangela Fonseca:
Students' Use of an LLM-Powered Virtual Teaching Assistant for Recommending Educational Applications of Games. JCSG 2024: 19-24 - [e1]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 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 Walkington:
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. CEUR Workshop Proceedings 3840, CEUR-WS.org 2024 [contents] - [i3]Maciej Pankiewicz, Ryan Shaun Baker:
Navigating Compiler Errors with AI Assistance - A Study of GPT Hints in an Introductory Programming Course. CoRR abs/2403.12737 (2024) - [i2]Valdemar Svábenský, Maciej Pankiewicz, Jiayi Zhang, Elizabeth B. Cloude, Ryan S. Baker, Eric Fouh:
Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades. CoRR abs/2404.05988 (2024) - 2023
- [c4]Maciej Pankiewicz, Ryan Baker, Jaclyn Ocumpaugh:
Using Intelligent Tutoring on the First Steps of Learning to Program: Affective and Learning Outcomes. AIED (Posters/Late Breaking Results/...) 2023: 593-598 - [i1]Maciej Pankiewicz, Ryan Shaun Baker:
Large Language Models (GPT) for automating feedback on programming assignments. CoRR abs/2307.00150 (2023) - 2021
- [c3]Maciej Pankiewicz, Marcin Bator:
On-the-fly Estimation of Task Difficulty for Item-based Adaptive Online Learning Environments. ITiCSE (1) 2021: 317-323 - [c2]Maciej Pankiewicz:
Assessing the Cold Start Problem in Adaptive Systems. ITiCSE (2) 2021: 650 - 2020
- [c1]Maciej Pankiewicz:
Measuring task difficulty for online learning environments where multiple attempts are allowed - the Elo rating algorithm approach. EDM 2020
Coauthor Index
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