Research on Emotion Recognition of Students in College Online Teaching Based on Biotechnology

Zhou Ping
College of Medicine, Jingchu University of Technology, Jingmen 448000, China
Xu Qianqian
College of Medicine, Jingchu University of Technology, Jingmen 448000, China

DOI:https://doi.org/10.5912/jcb2483

Abstract:

As online education becomes increasingly prevalent in the post-pandemic era, the integration of biotechnology offers new solutions to address the growing disconnect between virtual learning environments and students' holistic well-being. This paper explores a biotechnologically enhanced pedagogical framework that moves beyond conventional emotion recognition by incorporating multimodal biosensing technologies. By synergizing facial expression analysis with non-invasive physiological monitoring—such as heart rate variability, electrodermal activity, and attentional neural signatures—the proposed system establishes a dynamic biofeedback loop between learners and educators. The framework leverages adaptive bio signal processing algorithms to interpret students' cognitive-emotional states in real time, enabling instructors to modulate teaching strategies based on biological engagement metrics. A biotechnology ethics-aware architecture ensures compliance with biodata protection standards while processing sensitive physiological information. Preliminary implementations demonstrate the potential of this approach to mitigate emotional detachment in digital classrooms, fostering more physiologically attuned and ethically grounded online learning experiences. This interdisciplinary convergence of education technology and biotechnology paves the way for developing human-centric virtual learning ecosystems that prioritize both academic effectiveness and biological well-being.