Enhancing College Biology Education Through Multimedia Information Technology: A Biotechnological Integration Approach

Abstract

This study explores the application of multimedia information technology in enhancing student engagement in university biology classrooms through biometrically-based attention recognition. Utilizing advanced pupil center localization algorithms, which integrate selective threshold inversion and radial symmetry, this research aims to accurately track and analyze student gaze patterns. By converting gray-scale images of the eye into precise screen coordinate mappings, we establish a direct correlation between where a student is looking and their focus of attention, thereby gauging engagement levels more effectively. The developed method enhances traditional attention recognition by improving the accuracy of gaze detection and reducing environmental noise interference. This approach allows for a dynamic adjustment of teaching strategies in real-time, based on the biometric feedback received from students’ eye and head movements. Preliminary results from a controlled study in university biology classrooms show a significant increase in student attention, with average scores on attention allocation assessments rising from 16.45 in pre-tests to 26.73 in post-tests after the implementation of multimedia and biometric technologies. This indicates that the integration of biometrically-driven multimedia technology not only refines the measurement of student engagement but also substantively contributes to the effectiveness of teaching methodologies. Such technologies present a promising avenue for educational enhancement in the biotechnological realm, suggesting broader implications for pedagogical approaches in science education.