Leveraging the Power of AI in Undergraduate Computer Science Education: Opportunities and Challenges
Yunkai Liu
Abstract
The paper analyzes the potential opportunities and challenges of incorporating advanced AI tools, such as ChatGPT, into undergraduate computer science education. Through a literature review, the current research on the use of AI in computer science education is summarized and gaps in the current literature are identified. The paper argues that with proper planning and support, the integration of AI tools in computer science education can enhance the curriculum and prepare students for both programming education and literature education. The limitations of ChatGPT and related AI tools are also discussed, including ethical implications and potential effects on teaching style and undergraduate research. The results of a simple survey show the current level of knowledge and usage of ChatGPT among faculty and undergraduate students in computer science majors. The paper concludes that while there are challenges to overcome, such as ethical concerns, an optimistic attitude towards the integration of AI into undergraduate computer science education can lead to positive outcomes and prepare students for the workforce.