Maciej Pankiewicz

According to our database, Maciej Pankiewicz authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Students' Use of an LLM-Powered Virtual Teaching Assistant for Recommending Educational Applications of Games.

Mamta Shah, Maciej Pankiewicz, Ryan S. Baker, Jiahui Chi, Yue Xin, Hetali Shah, Dangela Fonseca

Proceedings of the Serious Games - 10th Joint International Conference, 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

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades.

Valdemar Svábenský, Maciej Pankiewicz, Jiayi Zhang, Elizabeth B. Cloude, Ryan Shaun Baker, Eric Fouh

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Navigating Compiler Errors with AI Assistance - A Study of GPT Hints in an Introductory Programming Course.

Maciej Pankiewicz, Ryan Shaun Baker

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

De-Identifying Student Personally Identifying Information with GPT-4.

Shreya Singhal, Andres Felipe Zambrano, Maciej Pankiewicz, Xiner Liu, Chelsea Porter, Ryan S. Baker

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Leveraging Large Language Models for Next-Generation Educational Technologies.

Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

Large Language Models (GPT) for automating feedback on programming assignments.

Maciej Pankiewicz, Ryan Shaun Baker

CoRR, 2023

Using Intelligent Tutoring on the First Steps of Learning to Program: Affective and Learning Outcomes.

Maciej Pankiewicz, Ryan Baker, Jaclyn Ocumpaugh

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2021

On-the-fly Estimation of Task Difficulty for Item-based Adaptive Online Learning Environments.

Maciej Pankiewicz, Marcin Bator

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021

Assessing the Cold Start Problem in Adaptive Systems.

Maciej Pankiewicz

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.2, Virtual Event, Germany, June 26, 2021

2020

Measuring task difficulty for online learning environments where multiple attempts are allowed - the Elo rating algorithm approach.

Maciej Pankiewicz

Proceedings of the 13th International Conference on Educational Data Mining, 2020