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Article type: Research Article
Authors: Zhao, Weia; * | Qi, Jianb
Affiliations: [a] Hebei Normal University of Science & Technology, Qinhuangdao, Hebei, China | [b] Hebei Institute of International Business and Economics, Qinhuangdao, Hebei, China
Correspondence: [*] Corresponding author: Wei Zhao, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei 066000, China. E-mail: [email protected].
Abstract: With the rapid development of information technology, the field of education is undergoing a profound change, in which intelligent hybrid learning and virtual reality technology are increasingly valued. This study proposes an intelligent hybrid learning method based on virtual reality for student performance improvement. This paper reveals the limitations of traditional learning methods in meeting the needs of modern education, and expounds the theoretical basis of intelligent hybrid learning and virtual reality technology. This paper collects and processes a large amount of learning data, based on which a new model of student learning performance prediction is established. The verification results of the model show that the model in this study has excellent performance in predicting students’ learning performance. This paper gives some suggestions for future educational practice and research. In general, this study provides a new learning method for the field of education and has important reference value for education reform and teaching practice.
Keywords: Intelligent blended learning, virtual reality technology, student learning performance
DOI: 10.3233/JCM-247198
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1303-1316, 2024
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