GANG ZHAO, LIJUN YANG, BILING HU und JING WANG, 2025. A Generative Artificial Intelligence (AI)-Based Human-Computer Collaborative Programming Learning Method to Improve Computational Thinking, Learning Attitudes, and Learning Achievement. Journal of Educational Computing Research. 1 September 2025. Vol. 63, no. 5, p. 1059-1087. DOI 10.1177/07356331251336154.
Elsevier - Harvard (with titles)Gang Zhao, Lijun Yang, Biling Hu, Jing Wang, 2025. A Generative Artificial Intelligence (AI)-Based Human-Computer Collaborative Programming Learning Method to Improve Computational Thinking, Learning Attitudes, and Learning Achievement. Journal of Educational Computing Research 63, 1059-1087. https://doi.org/10.1177/07356331251336154
American Psychological Association 7th editionGang Zhao, Lijun Yang, Biling Hu, & Jing Wang. (2025). A Generative Artificial Intelligence (AI)-Based Human-Computer Collaborative Programming Learning Method to Improve Computational Thinking, Learning Attitudes, and Learning Achievement. Journal of Educational Computing Research, 63(5), 1059-1087. https://doi.org/10.1177/07356331251336154
Springer - Basic (author-date)Gang Zhao, Lijun Yang, Biling Hu, Jing Wang (2025) A Generative Artificial Intelligence (AI)-Based Human-Computer Collaborative Programming Learning Method to Improve Computational Thinking, Learning Attitudes, and Learning Achievement. Journal of Educational Computing Research 63:1059-1087. https://doi.org/10.1177/07356331251336154
Juristische Zitierweise (Stüber) (Deutsch)Gang Zhao/ Lijun Yang/ Biling Hu/ Jing Wang, A Generative Artificial Intelligence (AI)-Based Human-Computer Collaborative Programming Learning Method to Improve Computational Thinking, Learning Attitudes, and Learning Achievement, Journal of Educational Computing Research 2025, 1059-1087.