{
  "id": 7716,
  "url": "https://doi.org/10.1111/bjet.12359",
  "title": "Assessing the attention levels of students by using a novel attention aware system based on brainwave signals",
  "summary": "Abstract Rapid progress in information and communication technologies ( ICTs ) has fueled the popularity of e‐learning. However, an e‐learning environment is limited in that online instructors cannot monitor immediately whether students remain focus during online autonomous learning. Therefore, this study tries to develop a novel attention aware system ( AAS ) capable of recognizing students' attention levels accurately based on electroencephalography ( EEG ) signals, thus having high potential ",
  "authors": "Chih‐Ming Chen, Jung‐Ying Wang, Chih‐Ming Yu",
  "category": "research",
  "topics": "children-education,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2015-11-13T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:27.486Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7716",
  "original_url": "https://doi.org/10.1111/bjet.12359",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}