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Sensors and Materials, Volume 37, Number 10(3) (2025)
Copyright(C) MYU K.K.
pp. 4605-4619
S&M4202 Technical paper
https://doi.org/10.18494/SAM5686
Published: October 30, 2025

Enhancing Engagement in Virtual Classroom in Higher Education Using Artificial Intelligence [PDF]

Yumei Li, Yannan Xie, and Chuying Wang

(Received March 31, 2025; Accepted October 20, 2025)

Keywords: artificial intelligence, medical education, virtual classrooms, AI medicine, collaboration

We explored the impact of AI in virtual medical classes to enhance medical students’ engagement and learning outcomes. Virtual reality, natural language processing, and adaptive learning were employed to simulate experiments involving animals. The AI technology used in this study demonstrated its capability as an educational tool, fostering personalized learning experiences, promoting collaborative efforts, and addressing ethical concerns related to animal-based procedures. An analytical framework for the evaluation of the AI technology in education was defined using the sensor-dependent engagement and proficiency adaptation indices. The survey results of the students indicated the necessity of AI technology in education to ensure efficiency and fill the technological gap between educational institutions. Student engagement and learning outcomes related to animal-based procedures were enhanced using the AI technology. Optimizing AI for virtual education is necessary to develop the necessary sensors and related technologies, driving faster and more impactful educational transformation than before.

Corresponding author: Chuying Wang


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Yumei Li, Yannan Xie, and Chuying Wang, Enhancing Engagement in Virtual Classroom in Higher Education Using Artificial Intelligence, Sens. Mater., Vol. 37, No. 10, 2025, p. 4605-4619.



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