Mobile learning and communication: educational change?; a systematic review

PurposeThe authors of this research present a study on Mmobile learning (ML) and the communication processes that are generated in different educational and professional contexts through a systematic review.Design/methodology/approachThis is descriptive research that analyzes a total of 201 results...

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Bibliographic Details
Published in:Education & training (London) 2023-02, Vol.65 (2), p.193-209
Main Authors: Mauri Medrano, Marta, Lafarga Ostáriz, Pablo, Del Barrio Aranda, Luis, Soler Costa, Rebeca
Format: Article
Language:English
Subjects:
Active Learning
Behavior Patterns
Career Change
Communication
Criteria
Descriptive research
Didacticism
Education
Educational Change
Educational Research
Gamification
Higher education
Information literacy
Learning
Learning Processes
Lifelong Learning
Online instruction
Pandemics
Severe acute respiratory syndrome coronavirus 2
Social networks
Society
Systematic review
Teachers
Teaching
Teaching Methods
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Summary:PurposeThe authors of this research present a study on Mmobile learning (ML) and the communication processes that are generated in different educational and professional contexts through a systematic review.Design/methodology/approachThis is descriptive research that analyzes a total of 201 results present in Web of Science and SCOPUS, with the criteria established by the PRISMA protocol, giving special relevance to the following categories: country of origin, date of publication, main objectives, methodological design, variables analyzed and considered, size and details of the samples; and their respective scientific contributions in relation to their area of research.FindingsThe results show significant methodological discrepancies with respect to the established criteria. Five blocks of action are apparent: technical issues, influence on learning, impact on satisfaction and motivation, impact on communicative processes and new forms of interaction.Originality/valueThe value of this research lies on offering a critical view based on an in-depth analysis of the existing scientific production between ML and communication in education.
ISSN:0040-0912
1758-6127
DOI:10.1108/ET-03-2022-0110