Название: Generative AI in Computer Science Education: Challenges and Opportunities Автор: Diana Franklin, Paul Denny, David A. Gonzalez-Maldonado, Minh Tran Издательство: Cambridge University Press Год: 2025 Язык: английский Формат: pdf (true), epub Размер: 10.1 MB
Generative AI is a disruptive technology that has the potential to transform many aspects of how Computer Science is taught. Like previous innovations such as high-level programming languages and block-based programming languages, Generative AI lowers the technical expertise necessary to create working programs, bringing the power of computation to more people. The programming process is already changing as a result of its presence, even for expert programmers. It also poses significant challenges to educators around re-thinking assessment as some well-established approaches may no longer be viable. Many traditional programming assignments can be completed using Generative AI tools with minimal effort, thus potentially undermining learning. In this Element, the authors explore both the opportunities and the challenges for Computer Science education resulting from the widespread availability of Generative AI.
The authors describe the rationale for this new approach by emphasizing two key reasons for redesigning introductory programming courses around LLMs. First, with the increasing capabilities of LLMs for generating code, traditional skills like writing code from scratch may no longer hold the same priority. Tools like Github Copilot are now widely adopted in industry,5 and thus explicit instruction in using such tools will better prepare students for the workforce. Second, integrating LLMs allows students to engage more quickly in larger, open-ended projects that are personally relevant, thereby improving engagement. The CS1-LLM approach allows students to focus more on core computational thinking skills such as problem decomposition, code analysis, and debugging, while also learning to interact with LLMs – a skill that is becoming essential in modern software development.
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