APS Logo

Mini-Symposium: Physics Education Research Incorporating Big Data and Data Mining

FOCUS · B16 · ID: 2122111

Presentations

  • Opportunities and challenges of large language models in physics education

    ORAL · Invited

    –

    Publication: Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and individual differences, 103, 102274.<br><br>Kieser, F., Wulff, P., Kuhn, J., & Küchemann, S. (2023). Educational data augmentation in physics education research using ChatGPT. Physical Review Physics Education Research, 19(2), 020150.<br><br>Krupp, L., Steinert, S., Kiefer-Emmanouilidis, M., Avila, K. E., Lukowicz, P., Kuhn, J., Küchemann, S., & Karolus, J. (2023). Challenges and Opportunities of Moderating Usage of Large Language Models in Education. arXiv preprint arXiv:2312.14969.<br><br>Krupp, L., Steinert, S., Kiefer-Emmanouilidis, M., Avila, K. E., Lukowicz, P., Kuhn, J., Küchemann, S., & Karolus, J. (2023). Unreflected Acceptance--Investigating the Negative Consequences of ChatGPT-Assisted Problem Solving in Physics Education. arXiv preprint arXiv:2309.03087.<br><br>Küchemann, S., Steinert, S., Revenga, N., Schweinberger, M., Dinc, Y., Avila, K. E., & Kuhn, J. (2023). Can ChatGPT support prospective teachers in physics task development?. Physical Review Physics Education Research, 19(2), 020128.<br><br>Küchemann, S., Avila, K. E., Dinc, Y., Hortmann, C., Revenga, N., Ruf, V., … Kuhn, J. (2024). Are Large Multimodal Foundation Models all we need? On Opportunities and Challenges of these Models in Education. Retrieved from osf.io/preprints/edarxiv/n7dvf <br><br>Steinert, S., Avila, K. E., Ruzika, S., Kuhn, J., & Küchemann, S. (2023). Harnessing Large Language Models to Enhance Self-Regulated Learning via Formative Feedback. arXiv preprint arXiv:2311.13984.

    Presenters

    • Stefan Küchemann

      Ludwig-Maximilians-Universität München

    Authors

    • Stefan Küchemann

      Ludwig-Maximilians-Universität München

    View abstract →

  • Methods for trustworthy application of Large Language Models in PER

    ORAL

    –

    Publication: Rebeckah K. Fussell, Emily M. Stump, and N. G. Holmes, A method to assess trustworthiness of machine coding at scale (arXiv, 2023), https://arxiv.org/abs/2310.02335v2.

    Presenters

    • Rebeckah Fussell

      Cornell University

    Authors

    • Rebeckah Fussell

      Cornell University

    • Megan Flynn

      Cornell University

    • Anil Damle

      Cornell University

    • Natasha G Holmes

      Cornell University

    View abstract →