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Behavioral Dynamics Analysis in Language Education: Generative State Transitions and Attention Mechanisms
Published 2025-03-01“…This study proposes a novel approach for analyzing learning behaviors in Chinese language education by integrating generative attention mechanisms and generative state transition equations. …”
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Artificial Intelligence (AI) in Education: A Case Study on ChatGPT’s Influence on Student Learning Behaviors
Published 2024-06-01“…The integration of ChatGPT at Ho Chi Minh City University of Technology and Education (HCMUTE) aims to transform teaching and learning dynamics. …”
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Modeling eating behaviors: The role of environment and positive food association learning via a Ratatouille effect
Published 2016-04-01“…Eating behaviors among a large population of children are studied as a dynamic process driven by nonlinear interactions in the sociocultural school environment. …”
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APPLICATION OF MACHINE LEARNING IN BEHAVIORAL MODIFICATION
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Personalized learning path optimization based on enhanced deep neural network: higher education teaching model integrating learner behavior and cognitive style
Published 2025-08-01“…The model adopts the Actor-Critic framework to introduce a multilayer perceptron (MLP) in the Actor part to fuse behavioral data and cognitive style, and a long short-term memory (LSTM) neural network in the Critic part to process time series data, thereby realizing the selection and dynamic adjustment of personalized learning paths. …”
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Enhancing action recognition in educational settings through exercise-induced neuroplasticity
Published 2025-07-01“…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. …”
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Analyzing the learning behavior patterns of business english learners using deep learning technology
Published 2025-12-01“…This study employs deep learning technology to conduct a comprehensive analysis and prediction of learning behavior patterns among business English learners, making several innovative contributions. …”
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Enhancing Mobile App Recommendations With Crowdsourced Educational Data Using Machine Learning and Deep Learning
Published 2025-01-01“…In the rapidly evolving digital landscape, personalized recommendations have become essential for enhancing user experience. Machine learning models analyze user behavior patterns to suggest relevant entertainment, education, or e-commerce content. …”
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Multimodal deep learning for art behavior analysis and personalized teaching path generation
Published 2025-08-01“…Personalized teaching paths generated based on EPG can dynamically adjust according to learners’ real-time capability profiles and learning progress, improving learning efficiency by 42.6%. …”
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Motivational Dynamics in a Multilingual Context: University Students’ Perspectives on LOTE Learning
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A Fuzzy-Neural Model for Personalized Learning Recommendations Grounded in Experiential Learning Theory
Published 2025-04-01“…Traditional implementations of educational theories—such as Kolb’s Experiential Learning Theory—often follow rule-based approaches, offering predefined structures but lacking adaptability to dynamically changing learner behavior. …”
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Engineering young faculty's acceptance of real-time behavior measurement software
Published 2025-06-01“…Innovative methodologies, such as dynamic activity detection and wearable tech, improve classroom interaction and learning outcomes. …”
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Moderation of empathy in sport on athletes' education and performance: a systematic review
Published 2024-10-01“…Keywords: empathy, attitudes, behavior, sports, physical education, achievement …”
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