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Journal Photo for Computers and Education: Artificial Intelligence
Peer reviewed only Open Access

Computers and Education: Artificial Intelligence (CEAI)

Publisher : Elsevier
intelligent tutoring systems machine learning in education adaptive learning platforms
e-ISSN 2666-920X
Issue Frequency Continuously
Est. Year 2020
Mobile 31204853767
Language English
APC YES
Email support@elsevier.com

Journal Descriptions

Computers and Education: Artificial Intelligence is a peer-reviewed international open-access journal published by Elsevier. It focuses on the intersection of artificial intelligence (AI) and education, exploring how intelligent systems can transform teaching, learning, and assessment processes. The journal is an offshoot of the highly reputed Computers and Education journal and specifically emphasizes AI-driven innovations in educational environments. The journal publishes high-quality research articles, reviews, and case studies covering topics such as intelligent tutoring systems, machine learning in education, adaptive learning platforms, educational data mining, natural language processing for learning systems, learning analytics, and generative AI applications in education. It also includes research on virtual learning environments, automated assessment tools, personalized learning systems, and ethical implications of AI in education. A key goal of the journal is to promote the development of intelligent educational technologies that improve learning outcomes and accessibility. It encourages interdisciplinary research combining computer science, cognitive science, pedagogy, and data analytics. The journal is widely indexed in major databases and is highly regarded in both AI and education research communities. It follows a strict peer-review process to ensure high scientific quality and innovation in the rapidly evolving field of AI-powered education systems.

Computers and Education: Artificial Intelligence (CEAI) is :-

  • International, Peer-Reviewed, Open Access, Refereed, intelligent tutoring systems, machine learning in education, adaptive learning platforms, educational data mining, natural language processing for learning systems, learning analytics, generative AI applications in education, research on virtual learning environments, automated assessment tools, personalized learning systems, ethical implications of AI in education , Online , Continuously Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2666-920X, Established: 2020,
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE