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Predictive Model for Enhancing Learning Skill Through Biometric Integration: A Review
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Author(s): Surekha Yashodharan (Government Engineering College, A.P.J. Abdul Kalam Technological University, India)and K. S. Vijayanand (A.P.J. Abdul Kalam Technological University, India)
Copyright: 2025
Pages: 34
Source title:
Impacts of AI on Students and Teachers in Education 5.0
Source Author(s)/Editor(s): Froilan Delute Mobo (Philippine Merchant Marine Academy, Philippines)
DOI: 10.4018/979-8-3693-8191-5.ch016
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Abstract
In the field of education, early identification of students who require additional support due to learning difficulties is paramount importance. This paper offers a pioneering approach to revolutionize education by harnessing biometric data for personalized and effective learning experiences. This research provides a foundation for further exploration in the field of adaptive learning technologies and their potential to transform the way we educate and acquire knowledge. This study proposes the development of a predictive model that leverages biometric information, such as physiological and behavioural data, to provide real-time insights into the learning process. The predictive model is designed to adapt and personalize learning experiences based on the individual's biometric responses. By continuously monitoring and analyzing biometric data, the system can dynamically adjust the difficulty level of educational content, provide timely interventions, and optimize learning strategies.
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