Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges
Abstract
Roughly every decade, the ACM and IEEE professional organizations have produced recommendations for the education of undergraduate computer science students. These guidelines are used worldwide by research universities, liberal arts colleges, and community colleges. For the latest 2023 revision of the curriculum, AAAI has collaborated with ACM and IEEE to integrate artificial intelligence more broadly into this new curriculum and to address the issues it raises for students, instructors, practitioners, policy makers, and the general public. This paper describes the development process and rationale that underlie the artificial intelligence components of the CS2023 curriculum, discusses the challenges in curriculum design for such a rapidly advancing field, and examines lessons learned during this three-year process.
Cite
Text
Eaton and Epstein. "Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I21.30352Markdown
[Eaton and Epstein. "Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/eaton2024aaai-artificial/) doi:10.1609/AAAI.V38I21.30352BibTeX
@inproceedings{eaton2024aaai-artificial,
title = {{Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges}},
author = {Eaton, Eric and Epstein, Susan L.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2024},
pages = {23078-23083},
doi = {10.1609/AAAI.V38I21.30352},
url = {https://mlanthology.org/aaai/2024/eaton2024aaai-artificial/}
}