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Journal of Computer Assisted Learning - Wiley-Blackwell | 2024 Impact Factor:4.6 | Cite Score:10.8 | Q1

Journal of Computer Assisted Learning - Wiley-Blackwell - Impact Factor

Impact Factor and Journal Rank of Journal of Computer Assisted Learning

  • About: The Journal of Computer Assisted Learning (JCAL), published by Wiley-Blackwell, serves as a leading forum for research in the integration of computer technology in education. It focuses on empirical studies, theoretical contributions, and critical analyses related to the use of technology to enhance teaching and learning experiences across all educational levels.
  • Objective:
    JCAL aims to advance the understanding and application of computer-assisted learning (CAL) through rigorous research and innovative practices. It provides a platform for scholars, educators, and practitioners to exchange ideas and contribute to the evolving field of educational technology.
  • Peer Review Process:
    All submissions to JCAL undergo a rigorous peer review process to ensure scholarly rigor, methodological soundness, and contribution to the field. Expert reviewers evaluate manuscripts based on originality, clarity, significance, and relevance to the journal scope.
  • Research Focus:
    Empirical Studies: Evaluating the effectiveness of CAL tools and methodologies.
    Theoretical Contributions: Advancing theoretical frameworks in educational technology.
    Critical Analyses: Examining the impact and implications of CAL on teaching and learning.
    Innovative Practices: Showcasing novel applications of technology in educational settings.

    Global Impact:
    JCAL publishes research that informs educational practices worldwide, contributing to global discussions on the integration of technology in education. It promotes international collaboration and knowledge exchange among researchers and educators.
  • Interdisciplinary Perspectives:
    Recognizing the interdisciplinary nature of educational technology, JCAL welcomes contributions from diverse fields, including computer science, psychology, pedagogy, and instructional design.
  • Industry and Academic Relevance:
    By bridging the gap between research and practice, JCAL supports evidence-based approaches to educational technology, fostering innovations that enhance learning outcomes and educational experiences.
  • Conclusion:
    The Journal of Computer Assisted Learning is committed to advancing the field of educational technology through high-quality research and scholarly discourse. By publishing cutting-edge research and promoting best practices, JCAL remains a pivotal resource for educators, researchers, and policymakers invested in the future of technology-enhanced learning.

  • Editor-in-Chief:  Paul A. Kirschner

  • Scope: It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers.
  • JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment.
  • The Journal of Computer Assisted Learning is committed to advancing the field of educational technology through high-quality research and scholarly discourse.
  • By publishing cutting-edge research and promoting best practices, JCAL remains a pivotal resource for educators, researchers, and policymakers invested in the future of technology-enhanced learning
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  02664909

    Electronic ISSN:  13652729

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  4.6

  • Subject Area and Category:  Computer Science ,Computer Science Applications,Social Sciences,Education ,E-learning

  • Publication Frequency:  

  • H Index:  121

  • Best Quartile:

    Q1:  Computer Science Applications

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  10.8

  • SNIP:  2.561

  • Journal Rank(SJR):  2.000