RESEARCH

Data-driven education

Maciej Pankiewicz leads innovative research at the intersection of education and technology. With a background in computer science, he utilizes a contemporary toolbox of learning analytics, artificial intelligence, and large language models to enhance educational outcomes for all.

Programming skills acquisition

Empowering the next generation of programmers through interactive, data-driven learning environments.

Automating feedback

Streamlining student assessments by deploying automated feedback systems that deliver timely, personalized, and actionable insights to learners.

Large language models

Harnessing the power of large language models to interpret complex data, generate educational content, and foster a more intuitive learning experience.

JeepyTA - virtual teaching assistant

An AI-driven virtual assistant that supports and enhances student learning through real-time assistance and adaptive resources.

To play a wrong note is insignificant; to play without passion is inexcusable
— Ludwig van Beethoven

After hours

I enjoy running, playing soccer, and creating music.

My passion for guitar and instrumental music began in childhood. Over the years, I've recorded some of my original songs and had the privilege of collaborating with talented musicians to perform them live. Discover more about my musical journey:

guitar.pankiewicz.eu

Chopin Died is a band I founded. We released several albums and performed at numerous concerts. If you'd like to learn more, visit:

chopindied.com
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Recent talks

  • Generative AI in Education: Enhancing Learning, Feedback, and Research with LLMs

    Keynote talk at Workshop AI for Education - Tools, Opportunities, and Risks in the Generative AI Era
    The 39th Annual AAAI Conference on Artificial Intelligence
    Philadelphia, PA, USA
    2025-03-03

  • JeepyTA: an LLM-Powered Virtual Teaching Assistant

    Presentation at the Digital Learning Lab
    Online, University of California, Irvine, CA, USA
    2025-01-31

  • Innovative Applications of Large Language Models in Research: A Focus on Education

    Presentation at the PAN-Metrics - Seminar on Novel Measurement Problems in Social Sciences
    Online, Polish Academy of Sciences, Poland
    2024-11-18

  • Students’ Use of an LLM-Powered Virtual Teaching Assistant for Recommending Educational Applications of Games

    Presentation at the 10th Joint International Conference on Serious Games - JCSG 2024
    New York University, New York, NY, USA
    2024-11-07

  • Ordered network analysis in CS education: unveiling patterns of success and struggle in automated programming assessment

    Presentation at the 29th annual ACM conference on Innovation and Technology in Computer Science Education (ITiCSE 2024)
    Università degli Studi di Milano, Milan, Italy
    2024-07-09

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

    Presentation at the 29th annual ACM conference on Innovation and Technology in Computer Science Education (ITiCSE 2024)
    Università degli Studi di Milano, Milan, Italy
    2024-07-08

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

    Presentation at the 29th annual ACM conference on Innovation and Technology in Computer Science Education (ITiCSE 2024)
    Università degli Studi di Milano, Milan, Italy
    2024-07-08

  • Large Language Models and Learning Analytics

    Tutorial at the SoLAR Learning Analytics Summer Institute
    University of Texas at Arlington, Arlington, TX, USA
    2024-06-11