Student Perceptions of Learning through Original and AI-Generated Python Programs from a Software Quality Perspective.
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| Název: | Student Perceptions of Learning through Original and AI-Generated Python Programs from a Software Quality Perspective. |
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| Autoři: | Frydenberg, Mark, Anqi Xu, Jennifer Xu |
| Zdroj: | Information Systems Education Journal; Jul2025, Vol. 23 Issue 4, p34-56, 23p |
| Témata: | GENERATIVE artificial intelligence, PSYCHOLOGY of students, COMPUTER software quality control, PYTHON programming language, COMPUTER programming education |
| Abstrakt: | This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AIgenerated code. They evaluated both solutions using a software quality assessment framework, focusing on the correctness, efficiency, understandability, consistency, and maintainability, which provided a guide to evaluating code beyond simply correctness of the solution. Research examines how students perceive and utilize generative AI, considering their motivations, outcomes, and experiences. Findings suggest that while students see significant potential in using AI tools to enhance their coding process and appreciate the efficiency and compactness of the AI-generated code, they often prefer their own solutions due to familiarity and features used. This research aims to inform future studies on student application of AI tools in learning to code and provides educators with a model for evaluating AI's impact on student learning. [ABSTRACT FROM AUTHOR] |
| Copyright of Information Systems Education Journal is the property of Information Systems & Computing Academic Professionals (ISCAP) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Databáze: | Complementary Index |
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