Journal Information
Journal of Computer Assisted Learning
https://onlinelibrary.wiley.com/journal/13652729
Impact Factor:
5.100
Publisher:
Wiley-Blackwell
ISSN:
0266-4909
Viewed:
9483
Tracked:
1
Call For Papers
Aims and Scope

JCAL deals with all aspects of learning and computers, no matter how large or small. As such it publishes articles on the use of computers FOR learning, IN learning, IN teaching, IN learning assessment, etc. be they quantitative and/or qualitative empirical articles, review articles, conceptual articles, design articles, special issues, registered reports, and any other type of article at the crossroads of computers, learning, and teaching.

JCAL (Journal of Computer Assisted Learning) is a high-quality international peer-reviewed scientific journal which covers the whole range of uses of information and communication technologies to support learning, teaching, and instructional design & development. This can run from using simple apps at home or in the classroom to large language models for teaching and learning. It strives to function as both a medium for communication amongst researchers as well as a channel linking researchers, practitioners, and policy makers.

JCAL operates on the cusp of educational psychology, the learning sciences, educational & instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment.

JCAL publishes studies on all types of learning: formal (pre-school, primary, secondary, and tertiary education), non-formal in the workplace or non-credit environments (e.g., MOOCs), and informal (e.g., museums, libraries, clubs). These articles can be quantitative and/or qualitative empirical, reviews, meta-analyses, conceptual studies, or design articles as long as they deal with computers and learning

JCAL also welcomes Special Issues offering a broad and in-depth perspective on a specific topic as well as State-of-the-Art on specific topics.

JCAL differs from other journals in that it welcomes and encourages high-quality submissions that might not have led to statistically significant results (a statistically non-significant result can be a very significant and important result) as well as replication studies.

Furthermore, the journal supports open science practices. We therefore welcome authors submit registered reports and articles with open research intentions.

In sum, JCAL welcomes:

    Empirical reports, either single studies or a programmatic series of studies, on the use of computers and information technologies in learning and assessment
    Critical and original reviews or meta-analyses on computers for learning, teaching, and education in general
    Studies on the design, development, implementation, and usability of innovative technology-based systems for learning, study, and teaching
    Empirical or conceptual studies on educational policy and improvement through the use of information and communication technologies
    Replication studies or registered reports
    High-quality studies that might not have statistically significant results

Keywords

    Artificial intelligence
    Augmented reality
    Blended learning
    College
    Computer assisted learning
    Computer supported collaborative learning
    Computers
    Distance education
    E-learning
    Education
    Electronic learning environments
    Elementary education
    Elementary school
    Games
    Gamification
    High school
    Higher education
    Information and communication technology
    Information systems
    Information technology
    jcal
    JCAL
    Journal of computer assisted learning
    Learning analytics
    Learning design
    Learning management systems
    Learning systems
    Mobile learning
    Multimedia
    Online learning
    Open science
    Open education
    Registered report
    Replication studies
    Secondary education
    Simulations
    Technological pedagogical content knowledge
    Tertiary education
    TPACK
    University
    Virtual reality
    Workplace learning
Last updated by Dou Sun in 2024-08-11
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