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, 63(5), S. 1059-1087. doi:10.1177/07356331251336154.
Chicago Manual of Style 17th edition (full note)Gang Zhao, Lijun Yang, Biling Hu, und 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 63, Nr. 5 (1. September 2025): 1059-87. 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
Modern Language Association 9th editionGang Zhao, Lijun Yang, Biling Hu, und 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, Bd. 63, Nr. 5, September 2025, S. 1059-87, https://doi.org/10.1177/07356331251336154.
ISO-690 (author-date, Deutsch)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. Bd. 63, Nr. 5, S. 1059-1087. DOI 10.1177/07356331251336154