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Yang, D., Liu, J., Wang, H., Chen, P., Wang, C., & Metwally, A. H. S. (2025). Technostress among teachers: A systematic literature review and future research agenda. Computers in Human Behavior, 108619.
1. Wang, H., Wang, S., Tlili, A., Li, M., Yang, D*., Adarkwah, M. A., ... & Kuai, H. (2025). The combined effects of goal attributes, motivational beliefs, creativity and grit on self-regulation in online ill-structured problem solving: a fsQCA approach. BMC psychology, 13(1), 1-14. （SSCI Q2）
2. Tlili, A., Salha, S., Wang, H. *, Huang,R. et al. (2024). Does personalization really help in improving learning achievement? A meta-analysis.In 2024 IEEE International Conference on Advanced Learning Technologies (ICALT) . IEEE. (EI, 通讯作者)
3. Cheng, Z., Wang, H .*, Zhu, X., West, R. E., Zhang, Z., & Xu, Q. (2023). Open badges support goal setting and self-efficacy but not self-regulation in a hybrid learning environment. Computers & Education, 197, 104744. (SSCI Q1, 通讯作者)
4. Wang, H ., Cai, Z.Y., & Tlili, A. (2023). Examining the applications of intelligent tutoring systems in real educational contexts: A systematic literature review from the social experiment perspective, education and information technologies (SSCI Q1)
5. Tlili, A., Salha, S., Wang, H* ., & Huang, R. (2023, July). Intelligent tutoring systems examined in social experiments—is the magic gone? A meta-analysis. In 2023 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 50-54). IEEE. (EI , 通讯作者 )
6. Yang, D., Wang, H ., Metwally, A. H. S., & Huang, R. (2023). Student engagement during emergency remote teaching: A scoping review. Smart Learning Environments , 10 (1), 1-17.
7. Yang, D., Wang, H ., & Huang, R. (2022). Teachers' autonomy support and student engagement: A systematic literature review of longitudinal studies. Frontiers in Psychology, 4790.
8. Wang, H ., Tlili, A., Lämsä, J., Cai, Z., Zhong, X., & Huang, R. (2022). Temporal perspective on the gender-related difference in online learning behavior: A case study of the Chinese students. Behavior and Information Technology. https://doi.org/10.1080/0144929X.2022.2039769 (SSCI Q2)
9. Koehler, A., Cheng, Z., Fiock, H., Wang, H ., Janakiraman, S., & Chartier, K. (2022). Examining students’ use of online case-based discussions to support problem solving: Considering individual and collaborative experiences. Computers & Education (SSCI Q1)
10. Wang, S., Wang, H ., Jiang, Y., Li, P., & Yang, W. (2021). Understanding students’ participation of intelligent teaching: an empirical study considering artificial intelligence usefulness, interactive reward, satisfaction, university support and enjoyment. Interactive Learning Environments, 1-17. https://doi.org/10.1080/10494820.2021.2012813 (SSCI Q1)
11. Wang, H. , Tlili, A., Zhong, X., Cai, Z., & Huang, R. (2021). The impact of gender on online learning behavioral patterns: A comparative study based on lag sequential analysis. 2021 Annual International Conference (Virtual) on Advanced Learning Technologies and Technology. （EI检索, Best Full Paper Award）
12. Tlili, A., Wang, H ., Gao, B., Shi, Y., & Huang, R. (2021). Impact of cultural diversity on students’ learning behavioral patterns in online course: A lag sequential analysis approach. Interactive Learning Environments. https://doi.org/10.1080/10494820.2021.1946565 (SSCI Q1)
13. Huang, R., Tlili, A., Wang, H ., Shi, Y., Bonk, C., Yang, J., & Burgos, D. (2021). Emergence of the Online-Merge-Offline (OMO) learning wave in the post-COVID-19 era: A pilot study. Sustainability (SSCI Q2).
14. Wang, H ., Tlili, A., Lehman, J., Lu, H., & Huang, R. (2021). Investigating feedback used by instructors to support online competency-based learning: A multiple case study. International Journal of Educational Technology in Higher Education , DOI: https://doi.org/10.1186/s41239-021-00241-6 (SSCI Q1)
15. Wang, H ., & Lehman, J. (2021). Using achievement goal-based personalized motivational feedback to enhance online learning. Educational Technology Research and Development, doi: 10.1007/s11423-021-09940-3 (SSCI Q1)
16. Huang, R., Wang, H ., Zhou, W., Du, J., Chang, T., & Liu, D. (2020). A Computing Engine for the New Generation of Learning Environments (NgLE). In 2020 annual International Conference (Virtual) on Advanced Learning Technologies and Technology. Tartu, Estonia: IEEE. (EI论文)
17. Koehler, A. A., Cheng, Z., Fiock, H., Janakiraman, S., & Wang, H . (2020). Asynchronous Online Discussions during Case-Based Learning: A Problem-Solving Process. Online Learning, [S.l.], v. 24, n. 4, dec. 2020. ISSN 2472-5730. doi: http://dx.doi.org/10.24059/olj.v24i4.2332.
18. Richardson, J., Ashby, I., Alshammari, A., Cheng, Z., Heo, D., Johnson, B., Krause, T., Lee, D., Randolph, A., & Wang, H . (2018). Faculty and Instructional Designers on Building Successful Collaborative Relationships. Educational Technology Research and Development (ETRD). https://doi.org/10.1007/s11423-018-9636-4 (SSCI Q1)
19. Wang H. , Hsiao, P.Y., Min, B.C. (2016) Examine the Potential of Robots to Teach Autistic Children Emotional Concepts: A Preliminary Study. In: Agah A., Cabibihan JJ., Howard A., Salichs M., He H. (eds) Social Robotics. ICSR 2016. Lecture Notes in Computer Science, vol 9979. Springer, Cham (EI论文)
20. 王欢欢 ,张进宝,达婷.国际学生数字素养现状与发展建议《ICILS 2023国际报告:数字素养的国际视角》要点与启示[J].上海教育,2025,(14):22-25.
21. 黄荣怀, 刘德建, 阿罕默德·提利利, 张国良，陈莺， 王欢欢 .人机协同教学:基于虚拟化身、数字孪生和教育机器人场景的路径设计[J].开放教育研究,2023,29(06):4-14.
22. 庄榕霞,周伟, 王欢欢 .人工智能正在重塑学习环境[J].教育家,2021(23):24-25.
23. 黄荣怀,虎莹,刘梦彧, 王欢欢, 吐尔逊艾力·巴孜力江.在线学习的七个事实——基于超大规模在线教育的启示[J].现代远程教育研究,2021,33(03):3-11. (CSSCI期刊)
24. 黄荣怀, 王欢欢, 张慕华, 逯行, 汪燕, 高博俊, 杜静.面向智能时代的教育社会实验研究[J].电化教育研究,2020,41(10):5-14. (CSSCI 期刊，通讯作者)
25. 黄荣怀, 高博俊, 王欢欢, 徐晶晶, 杜静.基于教学过程感知的行为计算[J].电化教育研究,2020,41(06):20-26
26. 黄荣怀, 汪燕, 王欢欢 , 逯行, 高博俊.未来教育之教学新形态：弹性教学与主动学习[J].现代远程教育研究,2020,32(03):3-14. (CSSCI期刊)
27. 黄荣怀, 杨俊锋, 刘德建, 王欢欢 .智能时代的国际教育比较研究：基于深度探究的迭代方法[J].中国电化教育,2020(07):1-9. (CSSCI期刊)
28. 黄荣怀, 周伟, 杜静, 孙飞鹏, 王欢欢 , 曾海军, 刘德建.面向智能教育的三个基本计算问题[J].开放教育研究,2019,25(05):11-22. (CSSCI期刊)
29. 王欢欢 , 冯瑞.创新型高校产学研实验室建构[J].计算机教育, 2013(18):110-113.
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