Research Portfolio
Focusing on the construction of intelligent learning environments and the vertical design of AI agents, with learning experience, behavior modeling, and cognitive development as the three core foundations, this research explores the empowering value of intelligent technologies in teaching, learning, management, and assessment.
AI in Education
Research on generative AI, AIGC, AI agents, learning emotion recognition, AI trust, and AI-supported learning.
View directionSocial Media Learning
Research on learner intention and behavioral mechanisms in social media, knowledge sharing, influencer-led education, and platform-based learning.
View directionLearning Spaces and Environments
Research on online education platforms, virtual learning environments, virtual laboratories, digital art spaces, and technology-supported learning environments.
View directionTechnology-Enabled Programming Education
Research on how AI agents, ChatGPT, MetaClassroom, and collaborative learning support programming education.
View directionLearner Behavior Modeling
Research explaining learners' adoption, continuance use, and behavioral intention in AIGC, social media, and emerging learning spaces.
View directionMacro Educational Technology Research
Research on methodological evaluation, guideline construction, framework design, policy analysis, and global educational technology trends.
View directionOther Research
Interdisciplinary studies related to educational evaluation, teacher training, leadership, robotics trust, volunteering, music education, and dance education.
View directionCross-cutting methodological toolkit
Across these directions, I combine theory-driven modeling, mixed methods, systematic review, meta-analysis, bibliometrics, content analysis, grounded theory, fsQCA, quantitative ethnography, and learning analytics.
AI in Education
This direction examines the educational use of generative AI, AIGC, AI agents, emotion recognition, AI trustworthiness, and AI-supported learning.
Factors Influencing University Students' Behavioral Intention to Use Generative Artificial Intelligence
Wang, C. L., Wang, H. M., Li, Y. Y., Dai, J., Gu, X. Q. & Yu, T.* (2024). International Journal of Human-Computer Interaction.
Deconstructing University Learners' Adoption Intention towards AIGC Technology
Wang, C. L., Chen, X. J.*, Hu, Z. B., Jin, S. & Gu, X. Q. (2025). Journal of Computer Assisted Learning.
Annotated Emotional Image Datasets of Chinese University Students in Real Classrooms for Deep Learning
Wang, C. L., Wang, H. M.*, Hu, Z. H., & Chen, X. J. (2024). Data in Brief.
To use or not to use? Generative AI adoption in Chinese business schools
Yu, T., Dai, J., Chen, X. J. & Wang, C. L.* (2026). The International Journal of Management Education.
From information evaluation to technology use: Generative AI adoption in Chinese business schools
Yu, T., Dai, J., Chen, X. J., & Wang, C. L.* (2026). The International Journal of Management Education.
Empowering Education Development through AIGC: A Systematic Literature Review
Chen, X. J., Hu, Z. B., & Wang, C. L.* (2024). Education and Information Technologies.
What factors will affect the effectiveness of using ChatGPT to solve programming problems?
Jing, Y. H., Wang, H. M., Chen, X. J., & Wang, C. L.* (2024). Humanities & Social Sciences Communications.
The dynamic evolution of human-centered artificial intelligence in education
Chen, X. J., Hu, Z. B., Li, Y. Y. & Wang, C. L.* (2025). Interactive Learning Environments.
Evolution in Simulation: AI-Agent School with Dual Memory for High-Fidelity Educational Dynamics
Jin, S.#, Wang, H. M.#,*, Gao, Z. Q., Yang, Y. B., Bao, C. J., Wang, C. L.* (2025). Conference on Empirical Methods in Natural Language Processing.
Panels of peers are needed to gauge AI's trustworthiness-Experts are not enough
Cheng, C., Dai, J.*, Yan, L. L., & Wang, C. L. (2025). Nature.
Enhancing real-time facial emotion recognition in classrooms via Attention-ResNet optimization
Wang, H. M., Wang, C. L., Xu, H. X., Bao, C. J., & Xu, X. L.* (2026). The Visual Computer.
Enhancing English Language Learning Through Moral Dilemmas
Wang, J. Q., Wang, C. L., Xiao, T., Zhang, X. Y. (2025). Language Teaching Research.
AI support in self-regulated learning: A decade of technological evolution and meta-analysis
Xu, J., Luo, Y. Y., Wang, C. L., Wang, M. J., & Wu, Y. H. (2026). British Journal of Educational Technology.
Knowledge Mapping and Trend Analysis of AI Agents in Education
Wang, H. M., Xiao, Z., Lai, Y., Bao, C., & Wang, C. L. (2025). Proceedings of the 19th International Conference of the Learning Sciences - ICLS2025.
Learning Spaces and Environments
This direction studies e-learning spaces, online education platforms, virtual learning environments, virtual laboratories, and technology-supported learning environments.
Understanding the Continuance Intention of College Students Toward New E-learning Spaces
Wang, C. L., Dai, J., Zhu, K. K., Yu, T.* & Gu, X. Q. (2023). International Journal of Human-Computer Interaction.
MetaClassroom: A New Paradigm and Experience for Programming Education
Wang, C. L., Chen, X. J., Li, Y. F., Wang, P. J., Wang, H. M. & Li, Y. Y.* (2025). Journal of Educational Computing Research.
A meta-analysis of learners' continuance intention toward online education platforms
Dai, J., Zhang, X., & Wang, C. L.* (2024). Education and Information Technologies.
Digital art exhibitions and psychological well-being in Chinese Generation Z
Xia, Y. Q., Deng, Y. L., Tao, X. Y., Zhang, S. N. & Wang, C. L.* (2024). Humanities & Social Sciences Communications.
Before and After: How Did the Pandemic Reshape Virtual Laboratory Research?
Wang, J. Y., Li, Y. Y., Chen, X. J., & Wang, C. L.* (2025). SAGE Open.
A Bibliometric Analysis of Studies on Technology-Supported Learning Environments
Jing, Y. H., Wang, C. L., Chen, Z. Y., Shen, S. S. & Shadiev, R.* (2024). Journal of Computer Assisted Learning.
Unleashing the Power of Virtual Learning Environment
Jing, Y. H., Jian, D., Wang, C. L. & Shadiev, R.* (2024). Interactive Learning Environments.
Unveiling Learners' Intentions toward Influencer-led Education
Chen, X. J., Yu, T., Jian, D., Jing, Y. H.* & Wang, C. L. (2024). Interactive Learning Environments.
Technology-Enabled Programming Education
This direction explores AI-supported programming education, including MetaClassroom, AI-agent-supported collaborative learning, and ChatGPT-assisted programming problem solving.
MetaClassroom: A New Paradigm and Experience for Programming Education
Wang, C. L., Chen, X. J., Li, Y. F., Wang, P. J., Wang, H. M. & Li, Y. Y.* (2025). Journal of Educational Computing Research.
Impact of AI-Agent-supported Collaborative Learning on University Programming Courses
Wang, H. M.#, Wang, C. L.#, Chen, Z., Liu, F., Bao, C. J. & Xu, X. L.* (2025). Education and Information Technologies.
What factors will affect the effectiveness of using ChatGPT to solve programming problems?
Jing, Y. H., Wang, H. M., Chen, X. J., & Wang, C. L.* (2024). Humanities & Social Sciences Communications.
Learner Behavior Modeling
This direction models adoption intention, continuance intention, behavioral intention, and knowledge-sharing mechanisms across AI and digital learning contexts.
Deconstructing University Learners' Adoption Intention towards AIGC Technology
Wang, C. L., Chen, X. J.*, Hu, Z. B., Jin, S. & Gu, X. Q. (2025). Journal of Computer Assisted Learning.
Understanding the Continuance Intention of College Students Toward New E-learning Spaces
Wang, C. L., Dai, J., Zhu, K. K., Yu, T.* & Gu, X. Q. (2023). International Journal of Human-Computer Interaction.
Factors Influencing University Students' Behavioral Intention to Use Generative Artificial Intelligence
Wang, C. L., Wang, H. M., Li, Y. Y., Dai, J., Gu, X. Q. & Yu, T.* (2024). International Journal of Human-Computer Interaction.
What drives learners' behavioral intention to share knowledge on social media
Wang, C. L., Chen, X. J. & Yu, T.* (2025). Current Psychology.
Macro Educational Technology Research
This direction covers macro-level educational technology research, including methodological evaluation, guideline construction, framework design, policy analysis, and field mapping.
The journey of challenges and victories: transformation action framework in the GenAI era
Wang, C. L., Chen, Y. F., Hu, Z. B., Li, Y. Y., & Gu, X. Q. (2025). Educational Technology Research and Development.
Education Reform and Change Driven by Digital Technology
Wang, C. L., Chen, X. J., Yu, T., Liu, Y. D. & Jing, Y. H.* (2024). Humanities & Social Sciences Communications.
Bibliometric mapping techniques in educational technology research
Jing, Y., Wang, C. L., Chen, Y., Wang, H., Yu, T., & Shadiev, R.* (2023). Education and Information Technologies.
The Future Landscape of Education: Generative AI in Higher Education
Xiao, Z., Wang, C. L., Lai, Y., Wang, H., & Gu, X. (2025). Proceedings of the 19th International Conference of the Learning Sciences - ICLS2025.
Other Research
This section includes interdisciplinary studies that connect educational evaluation, teacher training, leadership theory, robotics, volunteering, emergency remote teaching, music education, and dance education.
Assessment as learning: Evidence based on meta-analysis and quantitative ethnography research
Liu, Y. C., Xu, G. R., Yuan, S., Zhou, C., & Wang, C. L.* (2024). Studies in Educational Evaluation.
Instructional Design Guidelines for Virtual Reality-Based Teacher Training
Li, Y. Y., Wang, C. L. & Gu, X. Q.* (2024). Education Technology & Society.
Evolution and Current Research Status of Educational Leadership Theory
Peng, T., Wang, C. L., Xu, J., Dai, J. & Yu, T.* (2024). SAGE Open.
From Perception to Trust: The Multidimensional Landscape of Anthropomorphism in Robotics
Shang, X., Liu, Z., Gong, C., He, Z., & Wang, C. L.* (2025). International Journal of Human-Computer Interaction.
Motivation and mechanism of university volunteers' participation in major sport events
Chen, J., Tang, Y.*, & Wang, C. L.* (2025). Current Psychology.
The Implementation Path and Problems Encountered During Emergency Remote Teaching
Jing, Y. H., Chen, X. J., Zhu, K. K., Shen, S. S., & Wang, C. L.* (2023). SAGE Open.
Empowering music education with technology: a bibliometric perspective
Ma, Y. & Wang, C. L.* (2025). Humanities and Social Sciences Communications.
Thinking outside the box: A systematic review of gamification trends in children's dance
Liu, W. S., Chen, L. J., Zhong, X. T., Liu, W., Chen, X. J., & Wang, C. L.* (2025). Research in Dance Education.
Social Media Learning
This direction focuses on social media learning, knowledge sharing, influencer-led education, and platform-based learning behaviors.
Understanding the Continuance Intention of College Students Toward New E-learning Spaces
Wang, C. L., Dai, J., Zhu, K. K., Yu, T.* & Gu, X. Q. (2023). International Journal of Human-Computer Interaction.
What drives learners' behavioral intention to share knowledge on social media
Wang, C. L., Chen, X. J. & Yu, T.* (2025). Current Psychology.
Unveiling Learners' Intentions toward Influencer-led Education
Chen, X. J., Yu, T., Jian, D., Jing, Y. H.* & Wang, C. L. (2024). Interactive Learning Environments.