Year: 2024
Type: article
Abstract: AS I SEE IT CS instructors realize education may be impacted by generative AI (artificial intelligence).This article describes (1) opportunities, like 24/7 help or auto-grading, (2) challenges, like increased cheating or student isolation, and (3) pitfalls to avoid, like inequitable access or false cheating accusations.The descriptions come from 15 CS educators and practitioners, from diverse institutions, who met at a 2023 NSF workshop on AI in CS education.The article aims to assist the CS community to take advantage of generative AI to improve courses, embark on new research, treat students equitably, and ultimately improve CS education for instructors and students.
Source: ACM Inroads
DOI: 10.1145/3679205
Author: Frank Vahid
Institution: University of California, Riverside
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
Award: G1727945658
OpenAlex ID: W4401725248