Computing Education in the Era of Generative AI

By Paul Denny, James Prather, Brett A. Becker, James Finnie-Ansley, Arto Hellas, Juho Leinonen, Andrew Luxton-Reilly, Brent N. Reeves, E. Santos, Sami Sarsa. Communications of the ACM, 2023

325 citations recorded by the source corpus.

Challenges and opportunities faced by computing educators and students adapting to LLMs capable of generating accurate source code from natural-language problem descriptions.

Subfields: Computer Science Applications, Safety Research

View Paper: https://www.semanticscholar.org/paper/be2d38e0233ee2ef94eb05ecfe6f8bb5cf328a36

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Juho Leinonen
2. Andrew Luxton-Reilly
3. James Prather
4. Hieke Keuning
5. Paul Denny
6. Arto Hellas
7. Sami Sarsa

Citations in the corpus

• CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs (2024, unknown): “The recent emergence of Large Language Models (LLMs), and their wide array of potential applications, has sparked enormous research interest [5] and have generated intense debate about the opportunities and challenges they present, especially in domains such as education [14, 26].”
• The Robots Are Here: Navigating the Generative AI Revolution in Computing Education (2023, background): “2 Position papers and surveys/interviews (17): Twelve papers were surveys or position papers, summarising or discussing research conducted by others [24, 34, 50, 72, 80, 87, 102, 124, 139, 154, 183, 185].”