ZHANG Peng
	Ph.D. Student

Peng Zhang is a Ph.D. candidate in Educational Technology at Peking University and a visiting researcher at the University of California, Berkeley. Her research focuses on the learning sciences, game-based learning, and the application of virtual technologies such as augmented and virtual reality in education. She has published more than ten academic papers in international and Chinese journals, including British Journal of Educational Technology, Educational Technology Research & Development, and Asia Pacific Journal of Education. She has also contributed book chapters on learning sciences and data analytics. Dr. Zhang’s recent work explores how AI-driven and game-based virtual inquiry environments foster students’ scientific understanding and motivation, as well as how teachers engage with learning sciences in practice. She has received several national and university honors and participated in multiple research projects funded by the Ministry of Education of China.

· Learning Sciences

· Game-based Learning

Xia, Q., Zhang, P., Huang, W., & Chiu, T. K. F. (2025). The impact of generative AI on university students’ learning outcomes via Bloom’s taxonomy: A meta-analysis and pattern mining approach. Asia Pacific Journal of Education, 1–31. https://doi.org/10.1080/02188791.2025.2530503

Zeng, J., Zhang, P., Zhou, J., Shang, J., & Black, J. B. (2025). The impact of embodied scaffolding sequences on STEM conceptual learning. Educational Technology Research and Development, 73, 767–792. https://doi.org/10.1007/s11423-024-10438-x

Zhang, P., Hu, Q., & Shang, J. (2023). How can teachers facilitate computer-supported collaborative learning? A literature review of teacher intervention in CSCL. In C. Li, S. K. S. Cheung, F. L. Wang, A. Lu, & L. F. Kwok (Eds.), Blended learning: Lessons learned and ways forward (pp. 202–213). Springer Nature. https://doi.org/10.1007/978-3-031-35731-2_18

Zhang, P., Li, J., & Cai, S. (2025). Timing matters: Effects of augmented reality game on students’ learning achievement, satisfaction and acceptance. British Journal of Educational Technology, 56(3), 1273–1293. https://doi.org/10.1111/bjet.13524

Zhang, P., Su, H., Zeng, J., Zhang, Y., & Shang, J. (2024). Teach or not teach? Impacts of objective explanation in game-based learning: Insights from Gaussian hidden Markov analysis. In Proceedings of the 18th International Conference of the Learning Sciences (ICLS 2024) (pp. 2491–2492).

Zhang, X., Zhang, P., Shen, Y., Liu, M., Wang, Q., Gašević, D., & Fan, Y. (2024). A systematic literature review of empirical research on applying generative artificial intelligence in education. Frontiers of Digital Education, 1(3), 223–245. https://doi.org/10.1007/s44366-024-0028-5

刘誉, 张鹏, 尚俊杰. 基于德尔菲法的教师学习科学素养框架构建研究[J]. 现代教育技术, 2025, 35(4): 91–101.

尚俊杰, 张鹏. 让学习更科学、更快乐、更有效: 新快乐教育的核心目标[J]. 上海教育, 2025, 3: 54–55.

尚俊杰, 张鹏, 刘誉. 教师学习科学素养：概念内涵、理论框架与提升策略[J]. 电化教育研究, 2024, 45(8): 87–96.

张鹏, 吴筱萌, 曾嘉灵, 尚俊杰. 学习的快乐：基于哲学、心理学、脑科学视角的研究[J]. 全球教育展望, 2025, 54(3): 91–104.

张鹏, 汪旸, 尚俊杰. 生成式人工智能与教育变革：价值、困难与策略[J]. 现代教育技术, 2024, 34(6): 14–24.

张鹏, 苏晗宇, 张媛媛, 尚俊杰. 学习科学视角下的隐马尔可夫模型——联结理论与数据的学习过程分析方法[J]. 教学研究, 2025, 48(1): 1–10.

曾嘉灵, 张鹏, 尚俊杰. 基于设计的研究与教育游戏设计应用[J]. 中国电化教育, 2022, 8: 32–40.

李姗姗, 吴筱萌, 张鹏, 范逸洲. 人类导师与智能导师效能差异研究——基于动态交互的可供性视角[J]. 开放教育研究, 2025, 31(2): 98–107.