Generative AI in CS Education: Literature Review through a SWOT Lens
Jordan A. Roberts, Abdallah Mohamed · 2024
The rapid growth of generative artificial intelligence (AI) models introduced challenges for educators, students and administrators across the academic sphere related to how to manage and regulate these tools. While some oppose their use, many researchers have begun to approach the topic of educational AI use from a different perspective. Despite being in its early stages; this field of research has produced notable insights into the capabilities and limitations of models like ChatGPT. This paper utilizes a SWOT analysis framework to analyze and consolidate existing literature, with a specific focus on Computer Science education. Through the analysis of this literature, we have created a set of use cases and guidelines to aid in the future development of strategies and tools within this field. Our findings indicate that while some concerns are valid, such as AI's ability to generate plagiarized work, we identified several promising avenues and opportunities for careful integration of this technology into education.