Enhancing action recognition in educational settings through exercise-induced neuroplasticity
IntroductionIn educational settings, the role of neuroplasticity in shaping cognitive development has gained increasing attention. Traditional pedagogical models often fail to capture the dynamic neural adaptations that underlie effective learning. To bridge this gap, we propose a novel approach tha...
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2025.1588570/full |
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| author | Xu Yuan Han Li ShuangYi Feng MingYang Sun |
| author_facet | Xu Yuan Han Li ShuangYi Feng MingYang Sun |
| author_sort | Xu Yuan |
| collection | DOAJ |
| description | IntroductionIn educational settings, the role of neuroplasticity in shaping cognitive development has gained increasing attention. Traditional pedagogical models often fail to capture the dynamic neural adaptations that underlie effective learning. To bridge this gap, we propose a novel approach that integrates neuroplastic principles into action recognition for educational applications. Existing models primarily rely on behavioral metrics, neglecting the underlying neural mechanisms that drive skill acquisition.MethodsOur method introduces a Neuroplastic Learning Dynamics Model (NLDM), a computational framework designed to simulate the synaptic modifications, cortical reorganization, and learning-induced connectivity changes that occur during educational engagement. By leveraging a mathematical formulation of neuroplastic adaptation, NLDM enables a dynamic representation of cognitive transformation. Furthermore, we introduce Neuroplasticity-Driven Learning Optimization (NDLO), a strategic framework that adapts pedagogical interventions based on real-time neural responses. NDLO integrates multimodal data sources, including neurophysiological signals and behavioral feedback, to refine personalized learning pathways. By dynamically adjusting educational interventions, our framework fosters deeper engagement, accelerates skill acquisition, and enhances cognitive flexibility.ResultsExperimental results demonstrate that our neuroplasticity-based framework significantly improves action recognition accuracy, learning efficiency, and long-term knowledge retention.DiscussionThis study establishes a direct link between neural adaptability and educational performance, providing a foundation for future advancements in neuroeducation, AI-assisted learning environments, and the development of highly adaptive intelligent tutoring systems. |
| format | Article |
| id | doaj-art-3c9bbd17b06b435883e86ab27cb9bef7 |
| institution | Kabale University |
| issn | 1662-453X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj-art-3c9bbd17b06b435883e86ab27cb9bef72025-08-20T03:33:14ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2025-07-011910.3389/fnins.2025.15885701588570Enhancing action recognition in educational settings through exercise-induced neuroplasticityXu Yuan0Han Li1ShuangYi Feng2MingYang Sun3Guangdong University of Finance & Economics, PE Department, Guangzhou, Guangdong, ChinaGuangzhou College of Commerce, College of Physical Education, Guangzhou, Guangdong, ChinaCollege of Education, The Catholic University of Korea, Seoul, Republic of KoreaCollege of Education, The Catholic University of Korea, Seoul, Republic of KoreaIntroductionIn educational settings, the role of neuroplasticity in shaping cognitive development has gained increasing attention. Traditional pedagogical models often fail to capture the dynamic neural adaptations that underlie effective learning. To bridge this gap, we propose a novel approach that integrates neuroplastic principles into action recognition for educational applications. Existing models primarily rely on behavioral metrics, neglecting the underlying neural mechanisms that drive skill acquisition.MethodsOur method introduces a Neuroplastic Learning Dynamics Model (NLDM), a computational framework designed to simulate the synaptic modifications, cortical reorganization, and learning-induced connectivity changes that occur during educational engagement. By leveraging a mathematical formulation of neuroplastic adaptation, NLDM enables a dynamic representation of cognitive transformation. Furthermore, we introduce Neuroplasticity-Driven Learning Optimization (NDLO), a strategic framework that adapts pedagogical interventions based on real-time neural responses. NDLO integrates multimodal data sources, including neurophysiological signals and behavioral feedback, to refine personalized learning pathways. By dynamically adjusting educational interventions, our framework fosters deeper engagement, accelerates skill acquisition, and enhances cognitive flexibility.ResultsExperimental results demonstrate that our neuroplasticity-based framework significantly improves action recognition accuracy, learning efficiency, and long-term knowledge retention.DiscussionThis study establishes a direct link between neural adaptability and educational performance, providing a foundation for future advancements in neuroeducation, AI-assisted learning environments, and the development of highly adaptive intelligent tutoring systems.https://www.frontiersin.org/articles/10.3389/fnins.2025.1588570/fullaction recognitioneducational AIlearning dynamicscognitive adaptationneuroplasticity |
| spellingShingle | Xu Yuan Han Li ShuangYi Feng MingYang Sun Enhancing action recognition in educational settings through exercise-induced neuroplasticity Frontiers in Neuroscience action recognition educational AI learning dynamics cognitive adaptation neuroplasticity |
| title | Enhancing action recognition in educational settings through exercise-induced neuroplasticity |
| title_full | Enhancing action recognition in educational settings through exercise-induced neuroplasticity |
| title_fullStr | Enhancing action recognition in educational settings through exercise-induced neuroplasticity |
| title_full_unstemmed | Enhancing action recognition in educational settings through exercise-induced neuroplasticity |
| title_short | Enhancing action recognition in educational settings through exercise-induced neuroplasticity |
| title_sort | enhancing action recognition in educational settings through exercise induced neuroplasticity |
| topic | action recognition educational AI learning dynamics cognitive adaptation neuroplasticity |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2025.1588570/full |
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