Designing CS Assignments to Foster Cogitation in the AI Era

Abstract

This full research paper investigates how Artificial Intelligence (AI) tools like ChatGPT can be thoughtfully integrated into computer science education to enhance learning while preventing over-reliance that could hinder students' development of critical thinking and problem-solving skills. Although AI can assist students in tasks such as debugging and code generation, its ease of use may inadvertently reduce their engagement with the underlying problem-solving process. To address this challenge, our research focuses on the design of CS1 assignments that make productive use of AI while encouraging deeper learning and creativity. We evaluate ChatGPT-4's ability to solve various programming problems and identify its limitations with AI-generated outputs. Based on this analysis, we propose a framework that encourages students to deconstruct complex problems, create innovative solutions beyond what AI typically generates, iteratively improve their code, and clearly explain their reasoning. Our methods include modifying standard lab assignments by adding non-textual elements such as flowcharts, real-world scenarios, and diagrams, making it more difficult for AI tools to directly solve them. These changes prompt students to engage in higher-order thinking as they interpret and solve the problems. Through this study, we offer practical recommendations for educators aiming to incorporate AI into computer science curricula without compromising the development of essential cognitive skills. By designing assignments that challenge students intellectually while leveraging the benefits of AI, we aim to promote responsible and effective use of emerging technologies in education.

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