Abstract

Mobile phones have become widespread in the modern era. One contemporary use of mobile phones is in the education field, commonly known as M-Learning. Subsequent to the growth of M-Learning, developers of educational mobile applications need to understand what the user requirements are, and how to satisfy them. In order to measure user satisfaction while engaging with mobiles as learning tools, many models have been created using the Unified Theory of Acceptance and Use of Technology, and other models such as the Technology Acceptance Model. However, none of these has focused on the technical factors affecting the users’ intentions to use their mobile phones as learning tools. Due to technical limitations, as well as human psychology, mobile phone learning remains limited to an assistance-only function. This paper presents a review of studies that have been used to measure users’ intentions of engaging with mobile phones as learning tools. One hundred and twenty-seven papers have been reviewed, dating from 2011 to 2020. These papers differ in terms of methodology and results collected. Results showed that many models had been extended by adding factors such as trust, pre-usage or attitude. Moreover, this review concludes that almost none of the above-mentioned studies had identified precisely the technical factors that may affect the intention of using this type of technology in education. However, when classifying the influential factors of M-Learning, almost none of the studies discussed the advantages of the technical aspect in imparting knowledge through mobile learning. This study is significant for the education industry in its identification of the relative importance of these factors where mobiles are involved in the learning process. In addition, it provides a brief history of the involvement of technology in education.

Highlights

  • The improvements relating to communication technology that relies on mobile networks are among the key developments in modern society

  • With the rapid advancement of mobile learning technology, the factors affecting this technology need to be illuminated. This paper addresses this by evaluating many papers presented between 2010 and 2020, and its main goal is to provide educational institutions and universities with a clear vision of the factors that may affect the extent to which students and learners accept this type of technology

  • Among the most famous and generally utilised models are the Technology Acceptance Model (TAM), which was conceived in 1989, and theSuUstaninaibfiilietyd202T0,h12e, xoFrOyR PoEfERAREcVcIEeWptance and Use of Technology (UTAUT), wh6 oifc2h0 was presented by Venkatesh ethtaanli.n tirnad2iti0o0na3l w[7ay3s][.71T].hThaetnmeedordemelaiwns afosr mcroereantueadncetdodqefuinaitniotnisfyof mthobeilse olecarinailngaasnpdect of a client’s demeanour towhoawrdthips reerlasteosntoaolthceormdepfinuittioenrss, s[u7c4h]a.s uItbiiqnuidtoiucsalteeardninsge[v72e]r. al uses that were modified based on perspectives of2.t3h

Read more

Summary

Introduction

The improvements relating to communication technology that relies on mobile networks are among the key developments in modern society. The development of mobile phone technology has led to greater versatility, ease of use and cost-effectiveness It can provide content for educational purposes and facilitate learning, in addition to providing personal contact with others, referred to as the World Social [8]. Despite the various studies that have been conducted on mobile learning, scholarly analysis largely continues to be directed towards the angle of mobile learning (M-Learning) [11] Illuminating this finding can provide a greater understanding of this type of technology and its applications [12]. Despite all the advantages provided by mobile devices, a limitation, if not a weakness, remains in the lack of acceptance of this technology in some areas [13] This reality has motivated and attracted the interests of many researchers to explore the explanations behind this situation. What are the limitations and gaps in the current status of research into M-Learning?

Concept of Mobile Learning
Previous Studies in M-Learning
Acceptance Models
Data Collection
Search Protocol
Acceptance Models Used
Findings
Methodology
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.