International Journal of Mobile and Blended Learning (IJMBL) 9(1)Hybrid Open Access

International Journal of Mobile and Blended Learning (IJMBL) 9(1)

David Parsons (The Mind Lab by Unitec, New Zealand) and Kathryn Mac Callum (University of Canterbury, Christchurch, New Zealand)
Copyright: © 2017 |Volume: 9 |Issue: 1
ISSN: 1941-8647|EISSN: 1941-8655|EISBN13: 9781522512394|DOI: 10.4018/IJMBL.20170101
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MLA

Parsons, Davidand Kathryn Mac Callum. "International Journal of Mobile and Blended Learning (IJMBL)." (2017). Web. 30 Apr. 2024. doi:10.4018/IJMBL.20170101

APA

Parsons, D. & Mac Callum, K. (2017). International Journal of Mobile and Blended Learning (IJMBL). doi:10.4018/IJMBL.20170101

Chicago

Parsons, Davidand Kathryn Mac Callum. "International Journal of Mobile and Blended Learning (IJMBL)," (2017), accessed (April 30, 2024), doi:10.4018/IJMBL.20170101

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The International Journal of Mobile and Blended Learning (IJMBL) provides a forum for researchers, practitioners, and academicians in this field to share their knowledge and experience of combining e-learning and m-learning with other educational resources. The journal offers insight into a wide range of topics such as knowledge sharing, mobile games for learning, collaborative learning, e-learning, and more. Due to its comprehensive coverage and its distinction as an official publication of the International Association for Mobile Learning, IJMBL has been accepted into prestigious indices such as Web of Science Emerging Sources Citation Index®, Scopus®, Compendex®, and PsycINFO®. IJMBL contains useful articles for those seeking to learn, analyze, improve, and apply technologies in mobile and blended learning, spanning theoretical, technical, and pedagogical issues in that learning. The journal also devotes discussion to comprehensive or critical reviews of the current literature, relevant technologies and applications, and important contextual issues under areas such as privacy, security, adaptivity, and resource constraints.

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Front Materials
Masthead
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Call For Articles
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Editorial Preface
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Articles
Back Materials
Fuzzy Logic-Based Modeling in Collaborative and Blended Learning
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Call For Articles
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