AI and CER

Read the following papers/resources:

  • Stephanie Yang, Hanzhang Zhao, Yudian Xu, Karen Brennan, and Bertrand Schneider. 2024. Debugging with an AI Tutor: Investigating Novice Help-seeking Behaviors and Perceived Learning. In Proceedings of the 2024 ACM Conference on International Computing Education Research – Volume 1 (ICER ’24), Vol. 1. Association for Computing Machinery, New York, NY, USA, 84–94. https://doi.org/10.1145/3632620.3671092
  • James Prather, Brent N Reeves, Juho Leinonen, Stephen MacNeil, Arisoa S Randrianasolo, Brett A. Becker, Bailey Kimmel, Jared Wright, and Ben Briggs. 2024. The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers. In Proceedings of the 2024 ACM Conference on International Computing Education Research – Volume 1 (ICER ’24), Vol. 1. Association for Computing Machinery, New York, NY, USA, 469–486. https://doi.org/10.1145/3632620.3671116
  • Pick at least 2 of these. If the one you skip is a paper, at least watch the video or read the blog post associated with it.

Add 1 entry for each of these to your QQC Doc.

If you are wondering how much to write, check out the QQC Doc Check-in post.

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