Chengliang Wang

Chengliang Wang

Publication Portfolio

Publications

Chengliang Wang’s recent research takes the development of intelligent learning environments and the vertical design of AI Agents as its starting point, anchored by three core foci: learner experience, behavioral modeling, and cognitive development. Through this framework, he explores the empowering potential of cutting-edge intelligent technologies across teaching, learning, administration, and educational assessment. Furthermore, he has actively advanced the cultivation of AI literacy among students and teachers, alongside the development of related curricula.

As a first or corresponding author, Wang has published 31 SSCI-indexed papers, 18 of which are ranked in Q1 and Q2 according to the 2025 Chinese Academy of Sciences (CAS) journal ranking system. Proficient in over twenty research methods commonly utilized in the social sciences, his work has been accepted by prominent journals including the Journal of Educational Computing Research, Journal of Computer Assisted Learning, Educational Technology Research and Development, British Journal of Educational Technology, and Education and Information Technologies. Notably, 18 of his publications have been recognized as ESI Top 1% Highly Cited Papers, with 5 previously designated as ESI Top 0.1% Hot Papers.

57SSCI/SCI papers
31First-author and corresponding-author studies
18ESI 1% highly cited papers
5ESI 0.1% hot papers

Authored Journal Paper - First Author

  • Wang, C. L., Chen, Y. F., Hu, Z. B., Li, Y. Y., & Gu, X. Q.* (2025). The journey of challenges and victories: Exploring the transformation action framework in the GenAI era from multifaceted policies. Educational Technology Research and Development, 1-43. https://doi.org/10.1007/s11423-025-10535-5 (SSCI Q1)
  • Wang, C. L., Chen, X. J.*, Hu Z. B., Jin, S. & Gu, X. Q. (2025). Deconstructing University Learners’ Adoption Intention towards AIGC Technology: A Mixed-Methods Study Using ChatGPT as an Example. Journal of Computer Assisted Learning, 41, e13117. https://doi.org/10.1111/jcal.13117 (SSCI Q1; ESI 0.1 % hot paper🔥 in 2025; ESI 1% highly cited paper🏆)
  • Wang, C. L., Chen, X. J., Li Y. F., Wang, P. J., Wang, H. M. & Li, Y. Y.* (2025). MetaClassroom: A New Paradigm and Experience for Programming Education. Journal of Educational Computing Research, 63(4), 864-901. https://doi.org/10.1177/07356331251322470 (SSCI Q1)
  • Wang, C. L., Wang, H. M., Li Y. Y., Dai, J., Gu, X. Q. & Yu, T.* (2024). Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence: Integrating the Theory of Planned Behavior and AI Literacy. International Journal of Human-Computer Interaction, 41(11), 6649-6671. https://doi.org/10.1080/10447318.2024.2383033 (SSCI Q1; SCIE Q1; CCF-B; ESI 0.1 % hot paper🔥 in 2025 & 2026; ESI 1% highly cited paper🏆)
  • Wang, C. L., Chen, X. J., Yu, T., Liu, Y, D. & Jing, Y. H. (2024). Education Reform and Change Driven by Digital Technology: A Bibliometric Study from a Global Perspective. Humanities & Social Sciences Communications, 11, 256. https://doi.org/10.1057/s41599-024-02717-y (SSCI Q1; AHCI; ESI 0.1 % hot paper🔥in 2025; ESI 1% highly cited paper🏆)
  • Wang, C. L., Dai, J. Zhu K. K., Yu, T.* & Gu, X. Q. (2023). Understanding the Continuance Intention of College Students Toward New E-learning Spaces Based on an Integrated Model of the TAM and TTF. International Journal of Human-Computer Interaction, 40(24), 8419-8432. https://doi.org/10.1080/10447318.2023.2291609 (SSCI Q1; SCIE Q1; CCF-B; ESI 0.1 % hot paper🔥in 2024, 2025 & 2026; ESI 1% highly cited paper🏆)
  • Wang, C. L., Chen, X. J. & Yu, T.* (2025). What drives learners’ behavioral intention to share knowledge on social media: Evidence from a fuzzy-set qualitative comparative analysis (FsQCA). Current Psychology, 44(10), 8766-8780. https://doi.org/10.1007/s12144-025-07813-z (SSCI Q1)
  • Wang, H. M.#, Wang, C. L.#, Chen, Z., Liu, F., Bao, C. J. & Xu, X. L.* (2025). Impact of AI-Agent-supported Collaborative Learning on the Learning Outcomes of University Programming Courses. Education and Information Technologies, 1-33. https://doi.org/10.1007/s10639-025-13487-8 (SSCI Q1; ESI 1% highly cited paper🏆)
  • Wang, H. M.#, Wang, C. L.#, Xu, H. X., Bao, C. J., & Xu, X. L.* (2026). Enhancing real-time facial emotion recognition in classrooms via Attention-ResNet optimization. The Visual Computer, 42(1), Article 46. https://doi.org/10.1007/s00371-025-04265-1
  • Wang, C. L., Wang, H. M.*, Hu, Z. H., & Chen, X. J. (2024). Annotated Emotional Image Datasets of Chinese University Students in Real Classrooms for Deep Learning. Data in Brief, 57, 111147. https://doi.org/10.1016/j.dib.2024.111147 (ESCI; EI)
Authored Journal Paper - Corresponding Author Click to expand
  • Ling, X., & Wang, C. L.* (2026). Bibliometric mapping and evolutionary logic of large language models reshaping medical education 2022-2026. Discover Computing, 29(1), Article 543. https://doi.org/10.1007/s10791-026-10445-x
  • Yang, J. W., Wang, H. M., Chen, M. Y., Chen, X. J., Wang, J. Y., & Wang, C. L.* (2026). Configurational pathways of programming learning beliefs and self-efficacy among college students using intelligent agents: Evidence from GenAI literacy and agent usage experience. Interactive Learning Environments, 1-33. https://doi.org/10.1080/10494820.2026.2713873
  • Ling, X., & Wang, C. L.* (2026). Research landscape thematic evolution and future trends of artificial intelligence in medical education from 2015 to 2025. Discover Computing, 29(1), Article 447. https://doi.org/10.1007/s10791-026-10349-w
  • Xiao, Z. H., Wang, H. M.*, Jin, S., Lai, Y. T., Cao, Y., Zhang, Y. X., & Wang, C. L.* (2026). Human-AI collaborative learning ecosystem: Effects of multi-agent-based programming learning on learning outcomes, computational thinking, and behavioral patterns in higher education. International Journal of Human-Computer Interaction, 1-22. https://doi.org/10.1080/10447318.2026.2692021

  • Liu, X. C., Tang, Q. W., Wu, W. T., Chen, X. J., & Wang, C. L.* (2026). GenAI-agents in education: A systematic review of macro-level trends, educational roles, theoretical foundations and future agendas. Interactive Learning Environments, 1-23. https://doi.org/10.1080/10494820.2026.2672562

  • Chen, X. J., Hu, Z. B., & Wang, C. L.* (2024). Empowering Education Development through AIGC: A Systematic Literature Review. Education and Information Technologies, 29, 17485-17537. https://doi.org/10.1007/s10639-024-12549-7 (SSCI Q1; ESI 0.1 % hot paper; ESI 1% highly cited paper🏆)
  • Jing, Y. H., Wang, H. M., Chen, X. J., & Wang, C. L.* (2024). What factors will affect the effectiveness of using ChatGPT to solve programming problems? A quasi-experimental study. Humanities & Social Sciences Communications, 11, 319. https://doi.org/10.1057/s41599-024-02751-w (SSCI Q1; AHCI; ESI 0.1 % hot paper🔥 in 2025; ESI 1% highly cited paper🏆)
  • Yu, T., Dai, J., Chen, X. J., & Wang, C. L.* (2026). From information evaluation to technology use: Generative AI adoption in Chinese business schools. The International Journal of Management Education, 24(3), 101430. https://doi.org/10.1016/j.ijme.2026.101430 (SSCI Q1)
  • Yu, T., Dai, J., Chen, X. J., & Wang, C. L.* (2026). To use or not to use? Generative AI adoption in Chinese business schools. The International Journal of Management Education, 24(1), 101323. https://doi.org/10.1016/j.ijme.2025.101323 (SSCI Q1)
  • Jiang, Y., & Wang, C. L.* (2026). Reshaping the language learning landscape: Factors influencing learners’ use of open-source text-to-video AI (Open-Sora) in second language acquisition. Journal of Computer Assisted Learning, 42(4), e70277. https://doi.org/10.1002/jcal.70277 (SSCI Q1)
  • Chen, X. J., Yu, T., Jian, D., Jing, Y. H.* & Wang, C. L. (2025). Unveiling Learners’ Intentions toward Influencer-led Education: An Integration of Qualitative and Quantitative Analysis. Interactive Learning Environments. https://doi.org/10.1080/10494820.2024.2444533 (SSCI Q1; ESI 1% highly cited paper🏆)
  • Dai, J., Zhang, X., & Wang, C. L.* (2024). A metaanalysis of learners’ continuance intention toward online education platforms. Education and Information Technologies, 29, 21833-21868. https://doi.org/10.1007/s10639-024-12654-7 (SSCI Q1; ESI 0.1 % hot paper; ESI 1% highly cited paper🏆)
  • Shang, X., Liu, Z., Gong, C., He, Z., & Wang, C. L.* (2025). From Perception to Trust: The Multidimensional Landscape of Anthropomorphism in Robotics. International Journal of Human-Computer Interaction, 1-23. https://doi.org/10.1080/10447318.2025.2504198 (SSCI Q1; SCIE Q1; CCF-B)
  • Yu, T., Dai, J., Chen, X. J. & Wang, C. L.* (2024). Factors Influencing Continuance Intention in Blended Learning among Business School students in China: Based on Grounded Theory and FsQCA. Interactive Learning Environments, 1-23. https://doi.org/10.1080/10494820.2024.2370477 (SSCI Q1; ESI 1% highly cited paper🏆)
  • Yu, T., Dai, J. & Wang, C. L.* (2023). Adoption of blended learning: Chinese university students’ perspectives. Humanities & Social Sciences Communications, 10, 390. https://doi.org/10.1057/s41599-023-01904-7 (SSCI Q1; AHCI; ESI 1% highly cited paper🏆)
  • Xia, Y. Q., Deng, Y. L., Tao X. Y., Zhang, S. N. & Wang, C. L.* (2024). Digital art exhibitions and psychological well-being in Chinese Generation Z: An analysis based on the S-O-R framework. Humanities & Social Sciences Communications, 11, 266. https://doi.org/10.1057/s41599-024-02718-x (SSCI Q1; AHCI; ESI 1% highly cited paper🏆)
  • Liu, Y. C., Xu, G. R., Yuan, S., Zhou, C., & Wang, C. L.* (2024). Assessment as learning: Evidence based on meta-analysis and quantitative ethnography research. Studies in Educational Evaluation, 83, 101423. https://doi.org/10.1016/j.stueduc.2024.101423 (SSCI Q1)
  • Liu, W. S., Chen, L. J., Zhong, X. T., Liu, W., Chen, X. J., & Wang, C. L.* (2025). Thinking outside the box: A systematic review of gamification trends in children’s dance. Research in Dance Education, 1-30. https://doi.org/10.1080/14647893.2025.2570912 (AHCI)
  • Jin, S., Wang, H. M.*, Gao, Z. Q., Yang, Y. B., Bao, C. J., Wang, C. L.* (2025). Evolution in simulation: AI-agent school with dual memory for high-fidelity educational dynamics. In Findings of the Association for Computational Linguistics: EMNLP 2025 (pp. 5843-5857). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-emnlp.312 (CCF-B)
  • Mo C., Wang C. L.*, Dai J. & Jin P. Q. (2022). Video Playback Speed Influence on Learning Effect From the Perspective of Personalized Adaptive Learning: A Study Based on Cognitive Load Theory. Frontiers in Psychology, 13, 839982. https://doi.org/10.3389/fpsyg.2022.839982 (SSCI Q1)
  • Ma, Y. & Wang, C. L.* (2025). Empowering music education with technology: a bibliometric perspective. Humanities and Social Sciences Communications, 12, 345. https://doi.org/10.1057/s41599-025-04616-2 (SSCI Q1; AHCI)
  • Shang, X., Liu, Z., Gong, C., Hu, Z., Wu, Y. & Wang, C. L.* (2024). Knowledge mapping and evolution of research on older adults’ technology acceptance: A bibliometric study from 2013 to 2023. Humanities and Social Sciences Communications, 11, 1115. https://doi.org/10.1057/s41599-024-03658-2 (SSCI Q1; AHCI)
  • Wang, J. Y., Li, Y. Y., Chen, X. J., & Wang, C. L.* (2025). Before and After: How Did the Pandemic Reshape Virtual Laboratory Research? SAGE Open, 15(2), 1-23. https://doi.org/10.1177/21582440251339961 (SSCI Q1)
  • Wang, J. Y., Chen, X. J., Hu, Z. B., Yang, J. W., & Wang, C. L.* (2025). Fuel for the mind: Exploring coffee’s impact on university learning performance and experience. British Food Journal, 27(12), 4767-4788. https://doi.org/10.1108/BFJ-11-2024-1178 (SCIE Q1)
  • Wang, J. Y., Wang, H. M., Yang, J. W.*, & Wang, C. L.* (2026). Academic transformation in the era of artificial intelligence: Drivers of university faculty adoption of GenAI based on the UTAUT model. Humanities and Social Sciences Communications, 13(1), Article 1268. https://doi.org/10.1057/s41599-026-07606-0 (SSCI Q1; AHCI)
  • Chen J. Y., Liu Y. D., Dai J. & Wang C. L.* (2023). Development and status of moral education research: Visual analysis based on knowledge graph. *Frontiers in Psychology, 13, 1079955. https://doi.org/10.3389/fpsyg.2022.1079955 (SSCI Q1)
  • Chen, J., Wang, C. L., & Tang, Y. L.* (2022). Knowledge mapping of volunteer motivation: a bibliometric analysis and cross-cultural comparative study. Frontiers in Psychology, 13, 883150. https://doi.org/10.3389/fpsyg.2022.883150 (SSCI Q1)
  • Yu, T., Zhang, Y., Teoh, A. P., Wang, A., & Wang, C. L.* (2023). Factors Influencing University Students’ Behavioral Intention to Use Electric Car-Sharing Services in Guangzhou, China. SAGE Open, 13(4), 1-27. https://doi.org/10.1177/21582440231210551 (SSCI Q1)
  • Yu, T., Teoh, A. P., Bian, Q., & Wang, C. L.* (2025). What drives continuance intention to use electric vehicles: An extension of expectation-confirmation model. Transportation, 1-35. https://doi.org/10.1007/s11116-025-10667-w (SSCI Q2; SCIE Q2)
  • Chen, X. J., Hu, Z. B., Li, Y. Y. & Wang, C. L.* (2025). The journey of challenges and triumphs: a systematic literature review of the dynamic evolution of human-centered artificial intelligence in education. Interactive Learning Environments, 1-27. https://doi.org/10.1080/10494820.2025.2472288 (SSCI Q1)
  • Jing, Y. H., Chen, X. J., Zhu, K. K., Shen, S. S., & Wang, C. L.* (2023). The Implementation Path and Problems Encountered During Emergency Remote Teaching in Vocational Colleges: A Qualitative Study in China. SAGE Open, 13(4), 1-16. https://doi.org/10.1177/21582440231212160 (SSCI Q1)
  • Chen, J., Tang, Y.*, & Wang, C. L.* (2025). Motivation and mechanism of university volunteers’ participation in major sport events: A grounded theory study on volunteers for the Hangzhou Asian games. Current Psychology. https://doi.org/10.1007/s12144-025-08052-y (SSCI Q1)
  • Yu, T., Teoh, A. P., & Wang, C. L.* (2026). Integrating explanation and prediction: A PLS-MGA-ANN study of drone food delivery continuance intention. International Journal of Hospitality Management, 137, 104703. https://doi.org/10.1016/j.ijhm.2026.104703 (SSCI Q1)
Authored Journal Paper - Other Author Click to expand
  • Yu, T., Zeng, Z. K., Liu, T., & Wang, C. L. (2026). Virtual streamers, real purchases: The roles of anthropomorphism, interactivity, and presence in e-commerce live streaming. International Journal of Contemporary Hospitality Management, 38(13), 239-263. https://doi.org/10.1108/IJCHM-02-2026-0155
  • Xu, J., Luo, Y. Y.*, Wang, C. L., & Wu, H. N. (2026). Trust the messenger, then the message: Unpacking the cross-route logic of danmaku engagement. Aslib Journal of Information Management, 1-26. https://doi.org/10.1108/AJIM-01-2026-0111
  • Yu, T., Teoh, A. P., Tu, Q. Y., & Wang, C. L. (2026). Quality, norms and privacy in AI chatbot adoption: A multigroup analysis. International Journal of Contemporary Hospitality Management, 38(5), 1701-1724. https://doi.org/10.1108/IJCHM-08-2025-1167

  • Yu, T., Teoh, A. P., Liao, J. Y., & Wang, C. L. (2026). What drives the continuance intention of service robots in the hospitality industry? An integrated model of motivated consumer innovativeness and extended technology continuance theory. Journal of Hospitality Marketing & Management, 35(4), 608-653. https://doi.org/10.1080/19368623.2026.2616771

  • Cheng, C., Dai, J., Yan, L. L., & Wang, C. L. (2025). Panels of peers are needed to gauge AI’s trustworthiness-Experts are not enough. Nature, 647(8090), 592. https://doi.org/10.1038/d41586-025-03783-1 (SCIE Q1)
  • Li, Y. Y., Wang, C. L. & Gu, X. Q. (2025). Instructional Design Guidelines for Virtual Reality-Based Teacher Training: A Meta-analysis. Education Technology & Society, 28(1), 338-358. https://doi.org/10.30191/ETS.202501_28(1).SP02 (SSCI Q1)
  • Jing, Y. H., Wang, C. L., Chen, Z. Y., Shen, S. S., & Shadiev, R. (2024). A Bibliometric Analysis of Studies on Technology-Supported Learning Environments: Hot Topics and Frontier Evolution. Journal of Computer Assisted Learning, 40(3), 1185-1200. https://doi.org/10.1111/jcal.12934 (SSCI Q1)
  • Wang, J. Q., Wang, C. L., Xiao, T., Zhang, X. Y. (2025). Enhancing English Language Learning Through Moral Dilemmas: A Comparative Study of GPT and Human-Written Stories. Language Teaching Research, 1-32. https://doi.org/10.1177/13621688251391412 (SSCI Q1)
  • Peng, T., Wang, C. L., Xu, J., Dai, J. & Yu, T. (2024). Evolution and Current Research Status of Educational Leadership Theory: A Content Analysis-Based Study. SAGE Open, 14(3), 1-16. https://doi.org/10.1177/21582440241285763 (SSCI Q1)
  • Jing, Y. H., Wang, C. L., Chen, Y., Wang, H. M., Yu, T., & Shadiev, R. (2024). Bibliometric mapping techniques in educational technology research: A systematic literature review. Education and Information Technologies, 29(8), 9283-9311. https://doi.org/10.1007/s10639-023-12178-6 (SSCI Q1)
  • Yu, T., Wang, C. L., Bian, Q., & Teoh, A. P. (2024). Acceptance of or resistance to facial recognition payment: A systematic review. Journal of Consumer Behaviour, 23(6), 2933-2951. https://doi.org/10.1002/cb.2385 (SSCI Q1; AJG 2)
  • Xu, J., Luo, Y., Wang, C. L., Wang, M., & Wu, Y. (2026). AI support in self-regulated learning: A decade of technological evolution and meta-analysis. British Journal of Educational Technology, 57(5), 1191-1220. https://doi.org/10.1111/bjet.70058 (SSCI Q1)
  • Jing, Y. H., Dai, J., Wang, C. L. & Shadiev, R. (2024). Unleashing the Power of Virtual Learning Environment: Exploring the Impact on Learning Outcomes through a Meta-Analysis. Interactive Learning Environments, 33(1), 52-69. https://doi.org/10.1080/10494820.2024.2335481 (SSCI Q1)
  • Chen, J., Dai, J., Yu, T., & Wang, C. L. (2025). Factors influencing the adoption of generative AI in supply chain management: an empirical study based on task-technology fit and the theory of planned behaviour. International Journal of Logistics Research and Applications, 1-22. https://doi.org/10.1080/13675567.2025.2520550 (SSCI Q1)
  • Yu, T., Teoh, A. P., Wang, C. L., & Bian, Q. (2024). Convenient or risky? Investigating the behavioral intention to use facial recognition payment in smart hospitals. Humanities and Social Sciences Communications, 11(1), 1592. https://doi.org/10.1057/s41599-024-03910-9 (SSCI Q1; AHCI)
  • Yu, T., Teoh, A.P., Bian, Q., Liao, J. & Wang, C. L. (2024b). Can virtual influencers affect purchase intentions in tourism and hospitality e-commerce live streaming? An empirical study in China. International Journal of Contemporary Hospitality Management, 1-23. https://doi.org/10.1108/IJCHM-03-2024-0358 (SSCI Q1; AJG 3)
  • Yu, T., Teoh, A.P., Liao, J., & Wang, C. L. (2025). How do virtual influencers drive impulsive buying behaviour in e-commerce live streaming: the effects of parasocial relationship and influencer-product fit. Behaviour & Information Technology, 1-31. https://doi.org/10.1080/0144929X.2025.2551579 (SSCI Q2; SCIE Q2; AJG 2)
  • Yu, T., Teoh, A.P., Liao, J., & Wang, C. L. (2025). Factors influencing behavioral intention to use facial recognition payment in the restaurant industry: a comparative analysis of China and Malaysia. Journal of Travel & Tourism Marketing, 42(2), 222-247. https://doi.org/10.1080/10548408.2025.2455421 (SSCI Q1; AJG 2)
  • Yu, T., Teoh, A. P., Liao, J., & Wang, C. L. (2025). Determinants of switching intention to adopt electric vehicles: A comparative analysis of China and Malaysia. Technology in Society, 82, 102949. https://doi.org/10.1016/j.techsoc.2025.102949 (SSCI Q1; AJG 2)
Conference Papers Click to expand

  • Pian, Y.*, Yang, F., Di, Z. F., & Wang, C. L. (2026). “My culture is as good as yours”: Designing an AI agent to support intercultural understanding in rural EFL classrooms. In E. G. Blanchard, G. Chen, M. Chi, & S. Isotani (Eds.), Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers (Communications in Computer and Information Science, Vol. 3032, pp. 308-318). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-29791-4_24

  • Wang, C. L., Wang, H. M., Lai, Y. T., Xiao, Z. H., & Xu, X. L. (2025). Prediction of online mathematics test efficiency based on stacked integrated models: A case study of NAEP data. In A. I. Cristea, E. Walker, Y. Lu, O. C. Santos, & S. Isotani (Eds.), Artificial intelligence in education: Posters and late breaking results, workshops and tutorials, industry and innovation tracks, practitioners, doctoral consortium, blue sky, and WideAIED (AIED 2025). Springer. https://doi.org/10.1007/978-3-031-99261-2_20

  • Wang, C. L., Dai, J., Chen, Y., Zhang, X., & Xu, L. J.* (2023). A Learning Analytics Model Based on Expression Recognition and Affective Computing: Review of Techniques and Survey of Acceptance. In Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022). Springer Nature. https://doi.org/10.2991/978-94-6463-012-1_19

  • Wang, C. L., Dai, J., & Xu, L. J.* (2022). Big data and data mining in education: a bibliometrics study from 2010 to 2022. In Proceedings of 2022 7th International Conference on Cloud Computing and Big Data Analytics (Chengdu: IEEE), 507-512. https://doi.org/10.1109/ICCCBDA55098.2022.9778874

  • Wang, H. M., Xiao, Z., Lai, Y., Bao, C., & Wang, C. L. (2025). Knowledge Mapping and Trend Analysis of AI Agents in Education: A Bibliometric Study From 2004-2024. In Rajala, A., Cortez, A., Hofmann, H., Jornet, A., Lotz-Sisitka, H., & Markauskaite, L. (Eds.), Proceedings of the 19th International Conference of the Learning Sciences - ICLS 2025 (pp. 1404-1408). International Society of the Learning Sciences (ISLS 2025). https://doi.org/10.22318/icls2025.764364

  • Xiao, Z., Wang, C. L., Lai, Y., Wang, H., & Gu, X. (2025). The Future Landscape of Education: Constructing an Analytical and Application Framework for Generative Artificial Intelligence in Higher Education. In Rajala, A., Cortez, A., Hofmann, H., Jornet, A., Lotz-Sisitka, H., & Markauskaite, L. (Eds.), Proceedings of the 19th International Conference of the Learning Sciences - ICLS 2025 (pp. 1202-1206). International Society of the Learning Sciences (ISLS 2025). https://doi.org/10.22318/icls2025.986726

  • Chen, X. J., Hu, Z. B., Jing, Y. H. & Wang, C. L. (2024). The development and alleviation of humanistic artificial intelligence in the digital age education: A content analysis research. In Proceedings of the 8th International Conference on Advances in Artificial Intelligence (ICAAI 2024), October 17-19, 2024, London, United Kingdom. ACM. https://doi.org/10.1145/3704137.3704189

  • Chen, X. J., Zhu, K. K., Jing, Y. H. & Wang, C. L. (2023). The Application Landscape and Research Status of Artificial Intelligence in Language Learning: A Visual Analysis. In The 15th International Conference on Education Technology and Computers (ICETC 2023), Barcelona, Spain (pp. 461-468). ACM. https://doi.org/10.1145/3629296.3629370

  • Chen, Y., Wang, H., Chen, X., Wu, Z., & Wang, C. L. (2024). Constructing an Action Model for Educational Systems in Response to Pandemics: A Textual Grounded Analysis. In Lindgren, R., Asino, T. I., Kyza, E. A., Looi, C. K., Keifert, D. T., & Suárez, E. (Eds.), Proceedings of the 18th International Conference of the Learning Sciences - ICLS 2024 (pp. 979-982). International Society of the Learning Sciences (ISLS 2024). https://doi.org/10.22318/icls2024.604132

  • Chen, X. J., Chen, L., Fu, L., & Wang, C. L. (2024, March). Algorithm Selection and Application for Robot Path Planning Problems. In Journal of Physics: Conference Series (ACCC2023, Vol. 2722, No. 1). IOP Publishing. https://doi.org/10.1088/1742-6596/2722/1/012008

  • Xu, Y., Mao, D., & Wang, C. L. (2024, September). XR Technologies in vocational education and training research (2000-2024): A Bibliometric Review. In Proceedings of the 2024 the 16th International Conference on Education Technology and Computers (pp. 76-83). https://doi.org/10.1145/3702163.3702174

Publications by Research Method

The following expandable index reorganizes selected publications by research method. Click a method category to view the related studies.

Quasi-Experimental and Experimental Studies 8 studies

  • Wang, C. L., Chen, X. J., Li Y. F., Wang, P. J., Wang, H. M. & Li, Y. Y.* (2025). MetaClassroom: A New Paradigm and Experience for Programming Education. Journal of Educational Computing Research, 63(4), 864-901. https://doi.org/10.1177/07356331251322470

  • Wang, H. M., Wang, C. L., Chen, Z., Liu, F., Bao, C. J. & Xu, X. L.* (2025). Impact of AI-Agent-supported Collaborative Learning on the Learning Outcomes of University Programming Courses. Education and Information Technologies, 30, 17717-17749. https://doi.org/10.1007/s10639-025-13487-8

  • Wang, J. Q., Wang, C. L., Xiao, T., Zhang, X. Y. (2025). Enhancing English Language Learning Through Moral Dilemmas: A Comparative Study of GPT and Human-Written Stories. Language Teaching Research, 1-32. https://doi.org/10.1177/13621688251391412
  • Mo C. Y., Wang C. L.*, Dai J. & Jin P. Q. (2022). Video Playback Speed Influence on Learning Effect From the Perspective of Personalized Adaptive Learning: A Study Based on Cognitive Load Theory. Frontiers in Psychology, 13, 839982. https://doi.org/10.3389/fpsyg.2022.839982
  • Jing, Y. H., Wang, H. M., Chen, X. J., & Wang, C. L.* (2024). What factors will affect the effectiveness of using ChatGPT to solve programming problems? A quasi-experimental study. Humanities & Social Sciences Communications, 11, 319. https://doi.org/10.1057/s41599-024-02751-w
  • Wang, J. Y., Chen, X. J., Hu, Z. B., Yang, J. W., & Wang, C. L.* (2025). Fuel for the mind: Exploring coffee’s impact on university learning performance and experience. British Food Journal, 127(12), 4767-4788. https://doi.org/10.1108/BFJ-11-2024-1178
  • Xiao, Z. H., Wang, H. M.*, Jin, S., Lai, Y. T., Cao, Y., Zhang, Y. X., & Wang, C. L.* (2026). Human-AI collaborative learning ecosystem: Effects of multi-agent-based programming learning on learning outcomes, computational thinking, and behavioral patterns in higher education. International Journal of Human-Computer Interaction, 1-22. https://doi.org/10.1080/10447318.2026.2692021
  • Pian, Y.*, Yang, F., Di, Z. F., & Wang, C. L. (2026). “My culture is as good as yours”: Designing an AI agent to support intercultural understanding in rural EFL classrooms. In E. G. Blanchard, G. Chen, M. Chi, & S. Isotani (Eds.), Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers (Communications in Computer and Information Science, Vol. 3032, pp. 308-318). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-29791-4_24
Bibliometric Analysis 12 studies

  • Wang, C. L., Chen, X. J., Yu, T., Liu, Y, D. & Jing, Y. H.* (2024) Education Reform and Change Driven by Digital Technology: A Bibliometric Study from a Global Perspective. Humanities & Social Sciences Communications, 11, 256. https://doi.org/10.1057/s41599-024-02717-y

  • Wang, C. L., Dai, J., & Xu, L. J.* (2022). Big data and data mining in education: a bibliometrics study from 2010 to 2022. In Proceedings of 2022 7th International Conference on Cloud Computing and Big Data Analytics (pp. 507-512). https://doi.org/10.1109/ICCCBDA55098.2022.9778874

  • Jing, Y. H., Wang, C. L., Chen, Z. Y., Shen, S. S., & Shadiev, R.* (2024). A Bibliometric Analysis of Studies on Technology-Supported Learning Environments: Hot Topics and Frontier Evolution. Journal of Computer Assisted Learning, 40(3), 1185-1200. https://doi.org/10.1111/jcal.12934
  • Chen, J., Wang, C. L., & Tang, Y. L.* (2022). Knowledge mapping of volunteer motivation: a bibliometric analysis and cross-cultural comparative study. Frontiers in Psychology, 13, 883150. https://doi.org/10.3389/fpsyg.2022.883150
  • Ma, Y. & Wang, C. L.* (2025). Empowering music education with technology: a bibliometric perspective. Humanities and Social Sciences Communications, 12, 345. https://doi.org/10.1057/s41599-025-04616-2
  • Wang, J. Y., Li, Y. Y., Chen, X. J., & Wang, C. L.* (2025). Before and After: How Did the Pandemic Reshape Virtual Laboratory Research? SAGE Open, 15(2), 1-23. https://doi.org/10.1177/21582440251339961
  • Ling, X., & Wang, C. L.* (2026). Bibliometric mapping and evolutionary logic of large language models reshaping medical education 2022-2026. Discover Computing, 29(1), Article 543. https://doi.org/10.1007/s10791-026-10445-x
  • Ling, X., & Wang, C. L.* (2026). Research landscape thematic evolution and future trends of artificial intelligence in medical education from 2015 to 2025. Discover Computing, 29(1), Article 447. https://doi.org/10.1007/s10791-026-10349-w
  • Wang, H. M., Xiao, Z., Lai, Y., Bao, C., & Wang, C. L. (2025). Knowledge Mapping and Trend Analysis of AI Agents in Education: A Bibliometric Study From 2004-2024. In Proceedings of the 19th International Conference of the Learning Sciences - ICLS 2025 (pp. 1404-1408). https://doi.org/10.22318/icls2025.764364
  • Shang, X., Liu, Z., Gong, C., Hu, Z., Wu, Y. & Wang, C. L.* (2024). Knowledge mapping and evolution of research on older adults’ technology acceptance: A bibliometric study from 2013 to 2023. Humanities and Social Sciences Communications, 11, 1115. https://doi.org/10.1057/s41599-024-03658-2
  • Liu, Y. D., Jing, Y. H., Li, J., Dai, J., Hu, Z. B., & Wang, C. L. (2025). Application of AI in engineering education: A bibliometric study. Review of Education, 13, e70044. https://doi.org/10.1002/rev3.70044
  • Xu, Y., Mao, D., & Wang, C. L. (2024, September). XR Technologies in vocational education and training research (2000-2024): A Bibliometric Review. In Proceedings of the 2024 the 16th International Conference on Education Technology and Computers (pp. 76-83). https://doi.org/10.1145/3702163.3702174
Structural Equation Modeling 23 studies

  • Wang, C. L., Wang, H. M., Li Y. Y., Dai, J., Gu, X. Q., & Yu, T.* (2024). Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence: Integrating the Theory of Planned Behavior and AI Literacy. International Journal of Human-Computer Interaction, 41(11), 6649-6671. https://doi.org/10.1080/10447318.2024.2383033

  • Wang, C. L., Dai, J., Zhu K. K., Yu, T., & Gu, X. Q. (2023). Understanding the Continuance Intention of College Students Toward New E-learning Spaces Based on an Integrated Model of the TAM and TTF. *International Journal of Human-Computer Interaction, 40(24), 8419-8432. https://doi.org/10.1080/10447318.2023.2291609

  • Xu, J., Luo, Y. Y.*, Wang, C. L., & Wu, H. N. (2026). Trust the messenger, then the message: Unpacking the cross-route logic of danmaku engagement. Aslib Journal of Information Management, 1-26. https://doi.org/10.1108/AJIM-01-2026-0111
  • Yu, T., Teoh, A. P., Wang, C. L., & Bian, Q. (2024). Convenient or risky? Investigating the behavioral intention to use facial recognition payment in smart hospitals. Humanities and Social Sciences Communications, 11(1), 1592. https://doi.org/10.1057/s41599-024-03910-9
  • Yu, T., Dai, J., Chen, X. J., & Wang, C. L.* (2026). From information evaluation to technology use: Generative AI adoption in Chinese business schools. The International Journal of Management Education, 24(3), 101430. https://doi.org/10.1016/j.ijme.2026.101430
  • Yu, T., Dai, J., Chen, X. J., & Wang, C. L.* (2026). To use or not to use? Generative AI adoption in Chinese business schools. The International Journal of Management Education, 24(1), 101323. https://doi.org/10.1016/j.ijme.2025.101323
  • Jiang, Y., & Wang, C. L.* (2026). Reshaping the language learning landscape: Factors influencing learners’ use of open-source text-to-video AI (Open-Sora) in second language acquisition. Journal of Computer Assisted Learning, 42(4), e70277. https://doi.org/10.1002/jcal.70277
  • Yu, T., Dai, J., & Wang, C. L.* (2023). Adoption of blended learning: Chinese university students’ perspectives. Humanities & Social Sciences Communications, 10, 390. https://doi.org/10.1057/s41599-023-01904-7
  • Yu, T., Teoh, A. P., & Wang, C. L.* (2026). Integrating explanation and prediction: A PLS-MGA-ANN study of drone food delivery continuance intention. International Journal of Hospitality Management, 137, 104703. https://doi.org/10.1016/j.ijhm.2026.104703
  • Xia, Y. Q., Deng, Y. L., Tao X. Y., Zhang, S. N. & Wang, C. L.* (2024). Digital art exhibitions and psychological well-being in Chinese Generation Z: An analysis based on the S-O-R framework. Humanities & Social Sciences Communications, 11, 266. https://doi.org/10.1057/s41599-024-02718-x
  • Yu, T., Teoh, A. P., Bian, Q., & Wang, C. L.* (2025). What drives continuance intention to use electric vehicles: An extension of expectation-confirmation model. Transportation, 1-35. https://doi.org/10.1007/s11116-025-10667-w
  • Yu, T., Zhang, Y., Teoh, A. P., Wang, A., & Wang, C. L.* (2023). Factors Influencing University Students’ Behavioral Intention to Use Electric Car-Sharing Services in Guangzhou, China. SAGE Open, 13(4), 1-27. https://doi.org/10.1177/21582440231210551
  • Wang, J. Y., Wang, H. M., Yang, J. W.*, & Wang, C. L.* (2026). Academic transformation in the era of artificial intelligence: Drivers of university faculty adoption of GenAI based on the UTAUT model. Humanities and Social Sciences Communications, 13(1), Article 1268. https://doi.org/10.1057/s41599-026-07606-0
  • Yu, T., Teoh, A. P., Liao, J., & Wang, C. L. (2025). How do virtual influencers drive impulsive buying behaviour in e-commerce live streaming: the effects of parasocial relationship and influencer-product fit. Behaviour & Information Technology, 1-31. https://doi.org/10.1080/0144929X.2025.2551579
  • Yu, T., Teoh, A. P., Tu, Q. Y., & Wang, C. L. (2026). Quality, norms and privacy in AI chatbot adoption: A multigroup analysis. International Journal of Contemporary Hospitality Management, 38(5), 1701-1724. https://doi.org/10.1108/IJCHM-08-2025-1167
  • Yu, T., Teoh, A. P., Liao, J., & Wang, C. L. (2025). Show Your Palm to Pay: Are Customers Ready for Palm Print Recognition Technology in Retail Stores in China? International Journal of Human-Computer Interaction, 1-30. https://doi.org/10.1080/10447318.2025.2526575
  • Yu, T., Zeng, Z. K., Liu, T., & Wang, C. L. (2026). Virtual streamers, real purchases: The roles of anthropomorphism, interactivity, and presence in e-commerce live streaming. International Journal of Contemporary Hospitality Management, 38(13), 239-263. https://doi.org/10.1108/IJCHM-02-2026-0155
  • Yu, T., Teoh, A. P., Liao, J. Y., & Wang, C. L. (2026). What drives the continuance intention of service robots in the hospitality industry? An integrated model of motivated consumer innovativeness and extended technology continuance theory. Journal of Hospitality Marketing & Management, 35(4), 608-653. https://doi.org/10.1080/19368623.2026.2616771
  • Yu, T., Teoh, A.P., Bian, Q., Liao, J. & Wang, C. L. (2024). Can virtual influencers affect purchase intentions in tourism and hospitality e-commerce live streaming? An empirical study in China. International Journal of Contemporary Hospitality Management, 1-23. https://doi.org/10.1108/IJCHM-03-2024-0358
  • Yu, T., Teoh, A. P., Liao, J., & Wang, C. L. (2025). Determinants of switching intention to adopt electric vehicles: A comparative analysis of China and Malaysia. Technology in Society, 82, 102949. https://doi.org/10.1016/j.techsoc.2025.102949
  • Yu, T., Teoh, A. P., Liao, J., & Wang, C. L. (2025). Factors influencing behavioral intention to use facial recognition payment in the restaurant industry: a comparative analysis of China and Malaysia. Journal of Travel & Tourism Marketing, 42(2), 222-247. https://doi.org/10.1080/10548408.2025.2455421
  • Li, H., Xu, J., Luo, Y., & Wang, C. L. (2024). The role of teachers’ direct and emotional mentoring in shaping undergraduates’ research aspirations: a social cognitive career theory perspective. International Journal of Mentoring and Coaching in Education, 14(2), 123-142. https://doi.org/10.1108/IJMCE-07-2023-0064
  • Yu, T., Teoh, A. P., Bian, Q., Liao, J., & Wang, C. L. (2025). What Drives Purchase Intention in Live Streaming E-Commerce? The Perspectives of Virtual Streamers. International Journal of Human-Computer Interaction, 1-20. https://doi.org/10.1080/10447318.2025.2487721
Systematic Literature Review 7 studies

  • Yu, T., Wang, C. L., Bian, Q., & Teoh, A. P. (2024). Acceptance of or resistance to facial recognition payment: A systematic review. Journal of Consumer Behaviour, 23(6), 2933-2951. https://doi.org/10.1002/cb.2385

  • Jing, Y. H., Wang, C. L., Chen, Y., Wang, H. M., Yu, T., & Shadiev, R.* (2024). Bibliometric mapping techniques in educational technology research: A systematic literature review. Education and Information Technologies, 29(8), 9283-9311. https://doi.org/10.1007/s10639-023-12178-6
  • Xiao, Z., Wang, C. L., Lai, Y., Wang, H., & Gu, X. (2025). The Future Landscape of Education: Constructing an Analytical and Application Framework for Generative Artificial Intelligence in Higher Education. In Proceedings of the 19th International Conference of the Learning Sciences - ICLS 2025 (pp. 1202-1206). https://doi.org/10.22318/icls2025.986726
  • Chen, X. J., Hu, Z. B., & Wang, C. L.* (2024). Empowering Education Development through AIGC: A Systematic Literature Review. Education and Information Technologies, 29, 17485-17537. https://doi.org/10.1007/s10639-024-12549-7
  • Liu, X. C., Tang, Q. W., Wu, W. T., Chen, X. J., & Wang, C. L.* (2026). GenAI-agents in education: A systematic review of macro-level trends, educational roles, theoretical foundations and future agendas. Interactive Learning Environments, 1-23. https://doi.org/10.1080/10494820.2026.2672562
  • Chen, X. J., Hu, Z. B., Li, Y. Y. & Wang, C. L.* (2025). The journey of challenges and triumphs: a systematic literature review of the dynamic evolution of human-centered artificial intelligence in education. Interactive Learning Environments, 33(8), 4906-4931. https://doi.org/10.1080/10494820.2025.2472288
  • Liu, W. S., Chen, L. J., Zhong, X. T., Liu, W., Chen, X. J., & Wang, C. L.* (2025). Thinking outside the box: A systematic review of gamification trends in children’s dance. Research in Dance Education, 1-30. https://doi.org/10.1080/14647893.2025.2570912
Meta-Analysis 5 studies
  • Li, Y. Y., Wang, C. L. & Gu, X. Q.* (2025). Instructional Design Guidelines for Virtual Reality-Based Teacher Training: A Meta-analysis. Educational Technology & Society, 28(1), 338-358. https://doi.org/10.30191/ETS.202501_28(1).SP02
  • Xu, J., Luo, Y., Wang, C. L., Wang, M., & Wu, Y. (2026). AI support in self-regulated learning: A decade of technological evolution and meta-analysis. British Journal of Educational Technology, 57(5), 1191-1220. https://doi.org/10.1111/bjet.70058
  • Jing, Y. H., Dai, J., Wang, C. L. & Shadiev, R.* (2024). Unleashing the Power of Virtual Learning Environment: Exploring the Impact on Learning Outcomes through a Meta-Analysis. Interactive Learning Environments, 33(1), 52-69. https://doi.org/10.1080/10494820.2024.2335481
  • Dai, J., Zhang, X., & Wang, C. L.* (2024). A meta-analysis of learners’ continuance intention toward online education platforms. Education and Information Technologies, 29, 21833-21868. https://doi.org/10.1007/s10639-024-12654-7
  • Liu, Y. C., Xu, G. R., Yuan, S., Zhou, C., & Wang, C. L.* (2024). Assessment as learning: Evidence based on meta-analysis and quantitative ethnography research. Studies in Educational Evaluation, 83, 101423. https://doi.org/10.1016/j.stueduc.2024.101423
Meta-Ethnography and Other Ethnographic Approaches (e.g., ENA) 2 studies
  • Wang, C. L., Chen, Y. F., Hu, Z. B., Li, Y. Y., & Gu, X. Q.* (2025). The journey of challenges and victories: Exploring the transformation action framework in the GenAI era from multifaceted policies. Educational Technology Research and Development, 73, 2951-2993. https://doi.org/10.1007/s11423-025-10535-5
  • Liu, Y. C., Xu, G. R., Yuan, S., Zhou, C., & Wang, C. L.* (2024). Assessment as learning: Evidence based on meta-analysis and quantitative ethnography research. Studies in Educational Evaluation, 83, 101423. https://doi.org/10.1016/j.stueduc.2024.101423
Content Analysis 2 studies
  • Peng, T., Wang, C. L., Xu, J., Dai, J. & Yu, T.* (2024). Evolution and Current Research Status of Educational Leadership Theory: A Content Analysis-Based Study. SAGE Open, 14(3), 1-16. https://doi.org/10.1177/21582440241285763
  • Jing, Y. H., Chen, X. J., Zhu, K. K., Shen, S. S., & Wang, C. L.* (2023). The Implementation Path and Problems Encountered During Emergency Remote Teaching in Vocational Colleges: A Qualitative Study in China. SAGE Open, 13(4), 1-16. https://doi.org/10.1177/21582440231212160
Grounded Theory 5 studies
  • Wang, C. L., Chen, X. J., Hu Z. B., Jin, S. & Gu, X. Q. (2025). Deconstructing University Learners’ Adoption Intention towards AIGC Technology: A Mixed-Methods Study Using ChatGPT as an Example. *Journal of Computer Assisted Learning, 41, e13117. https://doi.org/10.1111/jcal.13117
  • Yu, T., Dai, J., Chen, X. J. & Wang, C. L.* (2024). Factors Influencing Continuance Intention in Blended Learning among Business School students in China: Based on Grounded Theory and FsQCA. Interactive Learning Environments, 33(2), 1339-1366. https://doi.org/10.1080/10494820.2024.2370477
  • Chen, Y. F., Wang, H. M., Chen, X. J., Wu, Z., & Wang, C. L. (2024). Constructing an Action Model for Educational Systems in Response to Pandemics: A Textual Grounded Analysis. In Proceedings of the 18th International Conference of the Learning Sciences - ICLS 2024 (pp. 979-982). https://doi.org/10.22318/icls2024.604132
  • Chen, J., Tang, Y., & Wang, C. L.* (2025). Motivation and mechanism of university volunteers’ participation in major sport events: A grounded theory study on volunteers for the Hangzhou Asian games. *Current Psychology, 44, 13339-13366. https://doi.org/10.1007/s12144-025-08052-y
  • Chen, X. J., Yu, T., Jian, D., Jing, Y. H.* & Wang, C. L. (2025). Unveiling Learners’ Intentions toward Influencer-led Education: An Integration of Qualitative and Quantitative Analysis. Interactive Learning Environments, 33(5), 3469-3487. https://doi.org/10.1080/10494820.2024.2444533
fsQCA 5 studies

  • Wang, C. L., Chen, X. J., Hu Z. B., Jin, S. & Gu, X. Q. (2025). Deconstructing University Learners’ Adoption Intention towards AIGC Technology: A Mixed-Methods Study Using ChatGPT as an Example. *Journal of Computer Assisted Learning, 41, e13117. https://doi.org/10.1111/jcal.13117

  • Wang, C. L., Chen, X. J. & Yu, T.* (2025). What drives learners’ behavioral intention to share knowledge on social media: Evidence from a fuzzy-set qualitative comparative analysis (FsQCA). Current Psychology, 44(10), 8766-8780. https://doi.org/10.1007/s12144-025-07813-z
  • Yu, T., Dai, J., Chen, X. J. & Wang, C. L.* (2024). Factors Influencing Continuance Intention in Blended Learning among Business School students in China: Based on Grounded Theory and FsQCA. Interactive Learning Environments, 33(2), 1339-1366. https://doi.org/10.1080/10494820.2024.2370477
  • Yang, J. W., Wang, H. M., Chen, M. Y., Chen, X. J., Wang, J. Y., & Wang, C. L.* (2026). Configurational pathways of programming learning beliefs and self-efficacy among college students using intelligent agents: Evidence from GenAI literacy and agent usage experience. Interactive Learning Environments, 1-33. https://doi.org/10.1080/10494820.2026.2713873
  • Chen, X. J., Yu, T., Jian, D., Jing, Y. H.* & Wang, C. L. (2025). Unveiling Learners’ Intentions toward Influencer-led Education: An Integration of Qualitative and Quantitative Analysis. Interactive Learning Environments, 33(5), 3469-3487. https://doi.org/10.1080/10494820.2024.2444533
Artificial Intelligence, Human-Computer Interaction, and Algorithms 8 studies
  • Wang, C. L., Wang, H. M., Hu, Z. H., & Chen, X. J. (2024). Annotated Emotional Image Datasets of Chinese University Students in Real Classrooms for Deep Learning. *Data in Brief, 57, 111147. https://doi.org/10.1016/j.dib.2024.111147
  • Wang, C. L., Wang, H. M., Lai, Y. T., Xiao, Z. H., & Xu, X. L. (2025). Prediction of online mathematics test efficiency based on stacked integrated models: A case study of NAEP data. In Artificial intelligence in education: WideAIED (AIED 2025) (pp. 221-229). Springer. https://doi.org/10.1007/978-3-031-99261-2_20
  • Wang, C. L., Dai, J., Chen, Y., Zhang, X., & Xu, L. J.* (2023). A Learning Analytics Model Based on Expression Recognition and Affective Computing: Review of Techniques and Survey of Acceptance. In Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (pp. 169-178). https://doi.org/10.2991/978-94-6463-012-1_19
  • Wang, H. M.#, Wang, C. L.#, Xu, H. X., Bao, C. J., & Xu, X. L.* (2026). Enhancing real-time facial emotion recognition in classrooms via Attention-ResNet optimization. The Visual Computer, 42(1), Article 46. https://doi.org/10.1007/s00371-025-04265-1
  • Yang, Y., Gao, Z. Q., Nie, K., Wang, H. M., Wang, C. L., & Zhao, K. (2026). ModuSwarm: A customizable and scalable framework for human-swarm interaction. In ICHEC25: Proceedings of the 2025 International Conference on Human-Engaged Computing (Article 61, pp. 1-6). https://doi.org/10.1145/3786995.3787000
  • Chen, X. J., Hu, Z. B., Jing, Y. H. & Wang, C. L. (2024). The development and alleviation of humanistic artificial intelligence in the digital age education: A content analysis research. In Proceedings of the 8th International Conference on Advances in Artificial Intelligence. ACM. https://doi.org/10.1145/3704137.3704189
  • Jin, S., Wang, H. M., Gao, Z. Q., Yang, Y. B., Bao, C. J., Wang, C. L.* (2025). Evolution in simulation: AI-agent school with dual memory for high-fidelity educational dynamics. In *Findings of the Association for Computational Linguistics: EMNLP 2025 (pp. 5843-5857). https://doi.org/10.18653/v1/2025.findings-emnlp.312
  • Cheng, C., Dai, J., Yan, L. L., & Wang, C. L. (2025). Panels of peers are needed to gauge AI’s trustworthiness-Experts are not enough. *Nature, 647(8090), 592. https://doi.org/10.1038/d41586-025-03783-1