{
  "id": 9674,
  "url": "https://doi.org/10.3390/brainsci15020203",
  "title": "Challenging Cognitive Load Theory: The Role of Educational Neuroscience and Artificial Intelligence in Redefining Learning Efficacy",
  "summary": "Background/Objectives: This systematic review integrates Cognitive Load Theory (CLT), Educational Neuroscience (EdNeuro), Artificial Intelligence (AI), and Machine Learning (ML) to examine their combined impact on optimizing learning environments. It explores how AI-driven adaptive learning systems, informed by neurophysiological insights, enhance personalized education for K-12 students and adult learners. This study emphasizes the role of Electroencephalography (EEG), Functional Near-Infrared ",
  "authors": "Evgenia Gkintoni, Hera Antonopoulou, Andrew Sortwell, Constantinos Halkiopoulos",
  "category": "research",
  "topics": "children-education,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2025-02-15T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:34:00.817Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9674",
  "original_url": "https://doi.org/10.3390/brainsci15020203",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}