19th Tianjin Social Science Excellence Achievement: How do students’ self-regulation skills affect learning satisfaction and continuous intention within desktop-based virtual reality?-Tianjin Normal University

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Research

19th Tianjin Social Science Excellence Achievement: How do students’ self-regulation skills affect learning satisfaction and continuous intention within desktop-based virtual reality?

Updated: 2026-03-19

Published in the British Journal of Educational Technology on May 1, 2023

Liu Zheyu, Faculty of Education, Tianjin Normal University

This achievement won the Third Prize of the 19th Tianjin Social Science Excellence Achievement Award.

Achievement overview: Faced with the bottleneck problems such as "high cost and difficulty in promotion, unclear learning mechanisms" in the application of virtual reality education, the achievement proposed a low-threshold, replicable and mechanism-clear application path for virtual reality education. A desktop virtual reality learning platform was developed, undergraduates were organized to deeply participate in virtual learning scenario experiments, and internationally authoritative assessment tools were adopted, with data quality meeting the academic standards of international high-level journals. The achievement not only revealed the special learning mechanisms of students in virtual environments, but also provided theoretical support and operational path references for relevant curriculum design, motivation stimulation and personalized teaching.

The achievement was published in the "British Journal of Educational Technology," a Q1 SSCI journal in the JCR "Education & Educational Research" category and a CAS Tier 1 TOP journal, as well as one of the most influential journals in the international field of educational technology. The achievement was supported by the National Natural Science Foundation of China and linked to four provincial and ministerial-level projects. Professor Pi Zhongling from Shaanxi Normal University, a collaborator of the achievement, was selected for the 2025 list of the world's top 2% scientists.

The achievement shifted from "technology-oriented" to "human-driven", emphasizing the important role of students' internal psychological variables. Meanwhile, it constructed a chain mediation path, refined the analysis of how self-regulation affects learning willingness through different flow dimensions, and formed systematic innovations in concepts, methods, scenarios and evaluation systems.

By He Jierui