AIMC Topic: Learning

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Modeling student satisfaction in online learning using random forest.

Scientific reports Jul 2, 2025
The rapid expansion of online education has intensified the need to investigate the multifactorial determinants of university students' satisfaction with digital learning platforms. While prior studies have often examined technical or pedagogical com...
Young Adult Adult Male Machine Learning Learning Female Personal Satisfaction Random Forest Education, Distance Students Adolescent Universities Humans
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How does social support influence autonomous physical learning in adolescents? Evidence from a chain mediation and latent profile analysis.

PloS one Jul 1, 2025
PURPOSE: This study examines how social support influences adolescents' autonomous physical learning behavior, exploring the mediating roles of self-efficacy and exercise motivation, and the moderating effects of gender and behavioral typologies. The...
Humans Learning Female Exercise Surveys and Questionnaires Male Adolescent Behavior China Students Motivation Self Efficacy Social Support Adolescent
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TGEL-transformer: Fusing educational theories with deep learning for interpretable student performance prediction.

PloS one Jun 30, 2025
With the integration of educational technology and artificial intelligence, personalized learning has become increasingly important. However, traditional educational data mining methods struggle to effectively integrate heterogeneous feature data and...
Learning Female Male Humans Artificial Intelligence Students Deep Learning Data Mining
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Research on learning achievement classification based on machine learning.

PloS one Jun 18, 2025
Academic achievement is an important index to measure the quality of education and students' learning outcomes. Reasonable and accurate prediction of academic achievement can help improve teachers' educational methods. And it also provides correspond...
Academic Success Deep Learning Educational Measurement Humans Machine Learning Learning Female Male Students
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Exploring the potential of artificial intelligence in individualized cognitive training: A systematic review.

PloS one Jun 17, 2025
To tackle the challenge of responders heterogeneity, Cognitive Training (CT) research currently leverages AI Techniques for providing individualized curriculum rather than one-size-fits-all designs of curriculum. Our systematic review explored these ...
Learning Cognition Cognitive Training Humans Artificial Intelligence
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Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences.

eLife Jun 16, 2025
The brain is thought to construct an optimal internal model representing the probabilistic structure of the environment accurately. Evidence suggests that spontaneous brain activity gives such a model by cycling through activity patterns evoked by pr...
Models, Neurological Action Potentials Neurons Cerebral Cortex Nerve Net Macaca mulatta Learning Animals
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Tailored knowledge distillation with automated loss function learning.

PloS one Jun 11, 2025
Knowledge Distillation (KD) is one of the most effective and widely used methods for model compression of large models. It has achieved significant success with the meticulous development of distillation losses. However, most state-of-the-art KD loss...
Distillation Algorithms Learning Knowledge Neural Networks, Computer Machine Learning Humans
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Current applications and outcomes of AI-driven adaptive learning systems in physical rehabilitation science education: A scoping review protocol.

PloS one Jun 11, 2025
Rationale Integrating artificial intelligence (AI) into education has introduced transformative possibilities, particularly through adaptive learning systems. Rehabilitation science education stands to benefit significantly from the integration of AI...
Humans Artificial Intelligence Learning Rehabilitation Scoping Review as Topic
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Personalized deep neural networks reveal mechanisms of math learning disabilities in children.

Science advances Jun 6, 2025
Learning disabilities affect a substantial proportion of children worldwide, with far-reaching consequences for their academic, professional, and personal lives. Here we develop digital twins-biologically plausible personalized deep neural networks (...
Deep Learning Learning Learning Disabilities Child Humans Female Mathematics Male Neural Networks, Computer
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Encoding flexible gait strategies in stick insects through data-driven inverse reinforcement learning.

Bioinspiration & biomimetics Jun 5, 2025
Stick insects exhibit remarkable adaptive walking capabilities across diverse environments; however, the mechanisms underlying their gait transitions remain poorly understood. Although reinforcement learning (RL) has been employed to generate insect-...
Robotics Walking Gait Biomechanical Phenomena Locomotion Models, Biological Computer Simulation Animals Reinforcement, Psychology Biomimetics Learning Insecta
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