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Computer Science > Artificial Intelligence

arXiv:2304.11376 (cs)
[Submitted on 22 Apr 2023]

Title:Stimulating student engagement with an AI board game tournament

Authors:Ken Hasselmann, Quentin Lurkin
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Abstract:Strong foundations in basic AI techniques are key to understanding more advanced concepts. We believe that introducing AI techniques, such as search methods, early in higher education helps create a deeper understanding of the concepts seen later in more advanced AI and algorithms courses. We present a project-based and competition-based bachelor course that gives second-year students an introduction to search methods applied to board games. In groups of two, students have to use network programming and AI methods to build an AI agent to compete in a board game tournament-othello was this year's game. Students are evaluated based on the quality of their projects and on their performance during the final tournament. We believe that the introduction of gamification, in the form of competition-based learning, allows for a better learning experience for the students.
Comments: Presented in Teaching Machine Learning Workshop at ECML 2022 (this https URL)
Subjects: Artificial Intelligence (cs.AI)
Cite as: arXiv:2304.11376 [cs.AI]
  (or arXiv:2304.11376v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2304.11376
Journal reference: Proceedings of Machine Learning Research, 2023

Submission history

From: Ken Hasselmann [view email]
[v1] Sat, 22 Apr 2023 11:22:00 UTC (350 KB)
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