Dr. CHENG Yihong Assistant Professor
聯繫資料
辦公室 Office：金龍校區502室
電子信箱 E-mail：yhcheng@cityu.edu.mo
學歷
PhD in Curriculum and Instruction
2022, Boston College
MA in Multicultural College Teaching and Learning
2018, University of Minnesota, Twin Cities
BA in Physics
2015, University of Minnesota, Twin Cities
現任
澳門城市大學教育學助理教授
曾任教科目
MTL001 教育研究與方法I
研究方向
STEM Education
Educational Measurement
研究及出版
Ali, S., DiPaola, D., Lee, I., Jackson, D., Kiel, J., Beal, K., Zhang, H., Cheng, Y., & Breazeal, C. (2021, January 1). Adapting K-12 AI learning for online instruction. Proceedings of German Journal of Artificial Intelligence 2/2021.
Asante, C. K., Semerjian, A., Xu, P., Jackson, D., Cheng, Y., Chasen, A., Shah, A., Brett, J., & Broadstone, M. (2021). An integrated STEM and computing curriculum for the human-technology frontier. Connected Science Learning, 3(2). https://doi.org/10.1080/24758779.2021.12318683
Cheng, Y., & Jackson, D. W. (2021). From “in a sleep” to “stayed every day”: Engaging students and teachers with micro: Bit smart-greenhouses. Proceedings of the 14th International Conference on Computer-Supported Collaborative Learning-CSCL 2021.
Cheng, Y., Xiao, X., Jackson, D., Shah, S. A., Abdus-Sabur, F., Hira, A., Zhang, H., & Barnett, M. (2025). Competent but anxious smart greenhouse makers: Findings from a physical computing project. Journal of Science Education and Technology. https://doi.org/10.1007/s10956-025-10208-1
Jackson, D. W., & Cheng, Y. (2021). Maintaining pluralism when embedding computational thinking in required science and engineering classes with young adolescents. Computer Science Education, 1–25. https://doi.org/10.1080/08993408.2021.1940787
Jackson, D. W., Cheng, Y., Meng, Q., & Xu, Y. (2022). “Smart” greenhouses and pluridisciplinary spaces: supporting adolescents’ engagement and self-efficacy in computation across disciplines. Disciplinary and Interdisciplinary Science Education Research, 4(1). https://doi.org/10.1186/s43031-022-00046-1
Jiang, S., DesPortes, K., Bergner, Y., Zhang, H., Lee, I., Moore, K., Cheng, Y., Perret, B., Walsh, B., Guggenheim, A., Dalton, B., Forsyth, S., Yeh, T., Akram, B., Yoder, S., Finzer, W., Chao, J., Rosé, C. P., Payne, W., & Castro-Norwood, F. (2022). Agents, models, and ethics: Importance of interdisciplinary explorations in AI education. Proceedings of the 16th International Conference of the Learning Sciences-ICLS 2022, 1763–1770.
Lee, I., Zhang, H., Moore, K., Zhou, X., Perret, B., Cheng, Y., Zheng, R., & Pu, G. (2022). AI book club: An innovative professional development model for AI education. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education. https://doi.org/10.1145/3478431.3499318
Xiao, X., Cheng, Y., & Kim, J.-M. (2021). Movie title keywords: A text mining and exploratory factor analysis of popular movies in the united states and china. Journal of Risk and Financial Management, 14(2), 68. https://doi.org/10.3390/jrfm14020068
Xiao, X., Xue, M., & Cheng, Y. (2023). Bayesian partial credit model and its applications in science education. Contemporary Trends and Issues in Science Education, 77–96. https://doi.org/10.1007/978-3-031-28776-3_4
Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y., & Breazeal, C. (2022). Integrating ethics and career futures with technical learning to promote AI literacy for middle school students: An exploratory study. International Journal of Artificial Intelligence in Education, 33, 290–324. https://doi.org/10.1007/s40593-022-00293-3
學術獎項
清華大學水木學者 2023-2025
專業屬會
Member, International Society of the Learning Sciences