nach oben

Education and Information Technologies

Erschienen in:

13.08.2018

Mobile learning adoption: A systematic review

verfasst von: Bimal Aklesh Kumar, Sailesh Saras Chand

Erschienen in: Education and Information Technologies | Ausgabe 1/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Mobile learning adoption is an active area of research. This paper aims to contribute to better understanding of mobile learning adoption by providing a body of knowledge to aid researchers working in this field. The applied method is systematic review of commonly used databases based on the guidelines proposed by Kitchenham (Keele, UK, Keele University, 33(2004), 1–26, 2004). In total 39 publications were retrieved out of which 27 were relevant to our research questions. The results highlighted publication trend, adoption models used and a set of factors that influence mobile learning adoption. Based on the findings recommendations were derived for further research in this field.

Vorheriger Artikel Social network analysis of twitter use during the AERA 2017 annual conference

Nächster Artikel Perceived impact of BYOD initiatives on post-secondary students’ learning, behaviour and wellbeing: the perspective of educators in Greece

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Nur mit Berechtigung zugänglich

Ajzen, I. (1993). Attitude theory and the attitude-behavior relation. In D. Krebs, P. Schmidt (Eds.), New directions in attitude measurement (pp. 41–57). Berlin: Walter de Gruyter.

Atkin, D., Chaudhry, A., Chaudry, S., Khandelwal, A. K., & Verhoogen, E. (2017). Organizational barriers to technology adoption: Evidence from soccer-ball producers in Pakistan. The Quarterly Journal of Economics, 132(3), 1101–1164.CrossRef

Asabere, N. Y. (2013). Benefits and challenges of mobile learning implementation: Story of developing nations. International Journal of Computer Applications, 73(1).

Bakhsh, M., Mahmood, A., & Sangi, N. A. (2015). An assessment of students’ readiness towards mobile learning at AIOU, Pakistan. Paper presented at the Information and Communication Technologies (ICICT), 2015 International Conference On, 1–6.

Bere, A. (2014). Exploring determinants for mobile learning user acceptance and use: An application of UTAUT. Paper presented at the Information Technology: New Generations (ITNG), 2014 11th International Conference On, 84–90.

Bere, A., & Rambe, P. (2016). An empirical analysis of the determinants of mobile instant messaging appropriation in university learning. Journal of Computing in Higher Education, 28(2), 172–198.CrossRef

Bidin, S., & Ziden, A. A. (2013). Adoption and application of mobile learning in the education industry. Procedia-Social and Behavioral Sciences, 90, 720–729.CrossRef

Chandhok, S., & Babbar, P. (2011). M-learning in distance education libraries: A case scenario of Indira Gandhi national open university. The Electronic Library, 29(5), 637–650.CrossRef

Chong, J., Chong, A. Y., Ooi, K., & Lin, B. (2011). An empirical analysis of the adoption of m-learning in Malaysia. International Journal of Mobile Communications, 9(1), 1–18.CrossRef

Cruz, Y. (2013). Examining the effect of learning styles on mobile learning adoption. Paper presented at the Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference On, 510–511.

Dyson, L. E., Raban, R., Litchfield, A., & Lawrence, E. (2009). Addressing the cost barriers to mobile learning in higher education. International Journal of Mobile Learning and Organization, 3(4), 381–398.CrossRef

Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley series in social psychology, United States

Gan, C., Li, H., & Liu, Y. (2017). Understanding mobile learning adoption in higher education: An empirical investigation in the context of the mobile library. The Electronic Library, (just-accepted), 00.

Hao, S., Dennen, V. P., & Mei, L. (2017). Influential factors for mobile learning acceptance among Chinese users. Educational Technology Research and Development, 65(1), 101–123.CrossRef

Ho, C. B., Chou, Y., & O'Neill, P. (2010). Technology adoption of mobile learning: A study of podcasting. International Journal of Mobile Communications, 8(4), 468–485.CrossRef

Hwang, G., & Tsai, C. (2011). Research trends in mobile and ubiquitous learning: A review of publications in selected journals from 2001 to 2010. British Journal of Educational Technology, 42(4).

Hwang, G., & Wu, P. (2014). Applications, impacts and trends of mobile technology-enhanced learning: A review of 2008–2012 publications in selected SSCI journals. International Journal of Mobile Learning and Organization, 8(2), 83–95.CrossRef

Hyman, J. A., Moser, M. T., & Segala, L. N. (2014). Electronic reading and digital library technologies: Understanding learner expectation and usage intent for mobile learning. Educational Technology Research and Development, 62(1), 35–52.CrossRef

Isa, Wan Abdul Rahim Wan Mohd, Lokman, A. M., Mustapa, M. N., Sah, I. N. M., Hamdan, A. R., & Luaran, J. E. (2015). Exploring the adoption of blended learning: Case of mobile learning. Paper presented at the 2015 3rd International Conference On Artificial Intelligence, Modeling and Simulation (AIMS), 359–364.

Joo, Y. J., Kim, N., & Kim, N. H. (2016). Factors predicting online university students’ use of a mobile learning management system (m-LMS). Educational Technology Research and Development, 64(4), 611–630.CrossRef

Karimi, S. (2016). Do learners’ characteristics matter? An exploration of mobile-learning adoption in self-directed learning. Computers in Human Behavior, 63, 769–776.CrossRef

Khan, A. I., Al-Shihi, H., Al-Khanjari, Z. A., & Sarrab, M. (2015). Mobile learning (M-learning) adoption in the Middle East: Lessons learned from the educationally advanced countries. Telematics and Informatics, 32(4), 909–920.CrossRef

Kim, Y. J., Chun, J. U., & Song, J. (2009). Investigating the role of attitude in technology acceptance from an attitude strength perspective. International Journal of Information Management, 29(1), 67–77.CrossRef

Kim, H., Lee, J., & Rha, J. (2017). Understanding the role of user resistance on mobile learning usage among university students. Computers & Education, 113, 108–118.CrossRef

Kitchenham, B. (2004). Procedures for performing systematic reviews. Keele, UK, Keele University, 33(2004), 1–26.

Kukulska-Hulme, A., Sharples, M., Milrad, M., Arnedillo-Snchez, I., & Vavoula, G. (2009). Innovation in mobile learning: A European perspective. International Journal of Mobile and Blended Learning (IJMBL), 1(1), 13–35.CrossRef

Lee, D., Park, J., & Ahn, J. H. (2001). On the explanation of factors affecting e-commerce adoption. ICIS 2001 Proceedings, 14.

Lee, M. J., & Chan, A. (2007). Pervasive, lifestyle-integrated mobile learning for distance learners: An analysis and unexpected results from a podcasting study. Open Learning, 22(3), 201–218.CrossRef

Leung, R., McGrenere, J., & Graf, P. (2008). The learnability of mobile application interfaces needs improvement. In Proc. of British HCI Workshop on HCI and the Older Population.

Liu, Y., Han, S., & Li, H. (2010). Understanding the factors driving m-learning adoption: A literature review. Campus-Wide Information Systems, 27(4), 210–226.CrossRef

Mazhar, F., Rizwan, M., Fiaz, U., Ishrat, S., Razzaq, M. S., & Khan, T. N. (2014). An investigation of factors affecting usage and adoption of internet & mobile banking in Pakistan. International Journal of Accounting and Financial Reporting, 4(2), 478–500.CrossRef

Osakwe, J., Dlodlo, N., & Jere, N. (2017). Where learners’ and teachers’ perceptions on mobile learning meet: A case of Namibian secondary schools in the Khomas region. Technology in Society, 49, 16–30.CrossRef

Pappas, I. O., Cetusic, L., Giannakos, M. N., & Jaccheri, L. (2017). Mobile learning adoption through the lens of complexity theory and fsQCA. Paper presented at the Global Engineering Education Conference (EDUCON), 2017 IEEE, 536–541.

Prieto, J. C. S., Miguelez, S. O., & Garca-Pealvo, F. J. (2014). Mobile learning adoption from informal into formal: An extended TAM model to measure mobile acceptance among teachers. Paper presented at the Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality, 595–602.

Prieto, J. C. S., Miguelez, S. O., & Garca-Pealvo, F. J. (2015). Mobile acceptance among pre-service teachers: A descriptive study using a TAM-based model. Paper presented at the Proceedings of the 3rd International Conference on Technological Ecosystems for Enhancing Multiculturality, 131–137.

Reychav, I., & McHaney, R. (2017). The relationship between gender and mobile technology use in collaborative learning settings: An empirical investigation. Computers & Education, 113, 61–74.CrossRef

Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster.

Sabah, N. M. (2016). Exploring students’ awareness and perceptions: Influencing factors and individual differences driving m-learning adoption. Computers in Human Behavior, 65, 522–533.CrossRef

Schardt, C., Adams, M. B., Owens, T., Keitz, S., & Fontelo, P. (2007). Utilization of the PICO framework to improve searching PubMed for clinical questions. BMC Medical Informatics and Decision Making, 7(1), 16.CrossRef

Seol, S., Sharp, A., & Kim, P. (2012). Use of a mobile application to promote scientific discovery learning: Students' perceptions towards and practical adoption of a mobile application. In Proceedings of the 13th annual conference on information technology education (pp. 121–126). ACM.

So, H., Choi, H., & Yoon, H. (2015). Understanding users’ perceived needs and concerns toward mobile application integration in primary science education in Korea. International Journal of Mobile Learning and Organization, 9(4), 315–333.CrossRef

Talukder, M. (2012). Factors affecting the adoption of technological innovation by individual employees: An Australian study. Procedia-Social and Behavioral Sciences, 40, 52–57.CrossRef

Tan, G. W., Ooi, K., Sim, J. J., & Phusavat, K. (2012). Determinants of mobile learning adoption: An empirical analysis. Journal of Computer Information Systems, 52(3), 82–91.

Traxler, J. (2009). Learning in a mobile age. International Journal of Mobile and Blended Learning (IJMBL), 1(1), 1–12.MathSciNetCrossRef

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.CrossRef

Yadegaridehkordi, E., Iahad, N. A., & Baloch, H. Z. (2013). Success factors influencing the adoption of M-learning. International Journal of Continuing Engineering Education and Life Long Learning, 23(2), 167–178.CrossRef

Yeap, J. A., Ramayah, T., & Soto-Acosta, P. (2016). Factors propelling the adoption of m-learning among students in higher education. Electronic Markets, 26(4), 323–338.CrossRef

Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960–967.CrossRef

Weinberg, B. A. (2004). Experience and technology adoption.

Titel: Mobile learning adoption: A systematic review
verfasst von: Bimal Aklesh Kumar
Sailesh Saras Chand
Publikationsdatum: 13.08.2018
Verlag: Springer US
Erschienen in: Education and Information Technologies / Ausgabe 1/2019
Print ISSN: 1360-2357
Elektronische ISSN: 1573-7608
DOI: https://doi.org/10.1007/s10639-018-9783-6

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 1/2019

The role of DAISY digital talking books in the education of individuals with blindness: A pilot study

Investigating K-12 teachers’ use of electronic board in the classroom in the Central South of United States

Leadership and school integration of ICT. Teachers perceptions in Spain

Examination of factors influencing the use of mobile learning system: An empirical study

Decision to adopt online collaborative learning tools in higher education: A case of top Malaysian universities

Preliminary study of augmented reality as an instrument for improvement of social skills in children with autism spectrum disorder