Title: An analysis of the enhancement effect of student classroom learning participation in immersive virtual learning environment

Authors: Kuo Xu

Addresses: College of Education, Central China Normal University, Wuhan, 430079, China; Graduate School, Chongqing Technology and Business University, Chongqing, 400067, China

Abstract: In order to explore the effectiveness of immersive virtual learning environments (IVLE) and their impact on students' classroom learning participation, an analysis of the effect of enhancing students' classroom learning participation in IVLE is conducted. First, the characteristics of IVLE are examined. Subsequently, the AlphaPose pose estimation algorithm is adopted to accurately analyse the characteristics of student classroom participation, and a multi-level classification model for classroom participation based on improved support vector machine and ant lion algorithm optimisation is constructed. Finally, strategies to effectively enhance students' classroom learning participation in IVLE are proposed, including optimising environment design, providing personalised learning support, establishing incentive mechanisms, and strengthening teacher guidance and support. The experimental results demonstrate that the participation accuracy of the proposed method is maintained above 90%, and the average hourly frequency of students' distracted behaviour is decreased to five occurrences.

Keywords: immersive virtual learning environment; IVLE; student classroom learning; participation rate; improve effectiveness.

DOI: 10.1504/IJCEELL.2025.150069

International Journal of Continuing Engineering Education and Life-Long Learning, 2025 Vol.35 No.6, pp.495 - 509

Received: 20 Nov 2024
Accepted: 13 Aug 2025
Published online: 28 Nov 2025 *

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