A launch editorial examines how artificial intelligence and neuroscience intersect to shape child development, personalized learning, and ethical educational practices.
An empirical study of ninety education professionals reveals that while eighty-two percent recognize the necessity of adaptive learning, only fifty-five ...
A retrospective study of high school chemistry competition alumni reveals three distinct structural mechanisms that foster student motivation through contextualization, ...
A meta-analysis of four controlled studies found a large pooled effect of AI-based personalized learning on grades, but wide uncertainty ...
A new open-access study reports an AI and IoT-based system that classifies college spoken English performance with 95.47 percent accuracy ...
A new editorial from the inaugural Lushan Summit argues that AI should personalize K-12 learning while human teachers remain irreplaceable ...
A new interpretable AI framework combining large language model embeddings with structured educational data predicted vocational college students' English proficiency ...
A domain-specific fuzzy-logic system linked eight student characteristics to interpretable aesthetic-education pathways and career recommendations, achieving 83.2% top-1 accuracy in ...
A three-week quasi-experimental study in Nigeria found that students using the rule-based chatbot Ovayo achieved significantly higher short-term sustainability test ...
A hybrid AI recommendation system that combines specialized expert routing with neural modeling of reading behavior reached 81.23% recall for ...
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