Would ChatGPT-facilitated programming mode impact college students’ programming behaviors, performances, and perceptions? An empirical study

ChatGPT, an AI-based chatbot with automatic code generation abilities, has shown its promise in improving the quality of programming education by providing learners with opportunities to better understand the principles of programming. However, limited empirical studies have explored the impact of C...

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Veröffentlicht in:	International Journal of Educational Technology in Higher Education Jg. 21; H. 1; S. 14 - 22
Hauptverfasser:	Sun, Dan, Boudouaia, Azzeddine, Zhu, Chengcong, Li, Yan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.12.2024 Springer Nature B.V SpringerOpen
Schlagworte:	Academic achievement Artificial intelligence Behavior Behavioral analysis Chatbots ChatGPT College student College students Colleges & universities Computer Appl. in Social and Behavioral Sciences Computer Science Computers and Education Copying Data analysis Debugging Design of experiments Educational programs Educational Technology Empirical analysis Feedback Higher Education Human-computer interaction Humanities Information Systems Applications (incl.Internet) Instructional design Law Messages Multidimensional data Multidimensional methods New advances in artificial intelligence applications in higher education Perception Perceptions Programming Programming learning Quasi-experimental methods Quasiexperimental Design Research Article Research design Statistics for Social Sciences Students Troubleshooting Usefulness User experience Programming learning College student Perception ChatGPT Behavioral analysis
ISSN:	2365-9440, 2365-9440
Online-Zugang:	Volltext
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