Research Article
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Year 2024, Volume: 7 Issue: 2, 286 - 307, 29.10.2024
https://doi.org/10.53048/johass.1565945

Abstract

References

  • Aamri, A., & Suleiman, K. (2011). The use of mobile phones in learning English language by Sultan Qaboos University students: Practices, attitudes and challenges. Canadian Journal on Scientific and Industrial Research, 2(3), 143-152.
  • Al-Emran, M., Elsherif, H. M., & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher education. Computers in Human Behavior, 56, 93-102. https://doi.org/10.1016/j.chb.2015.11.033
  • Al-Fahad, F. N. (2009). Students' attitudes and perceptions towards the effectiveness of mobile learning in King Saud University, Saudi Arabia. The Turkish Online Journal of Educational Technology, 8(2), 111-119.
  • Ally, M. (2009). Mobile learning: Transforming the delivery of education and training. Athabasca University Press.
  • Almaiah, M. A., & Almulhem, A. (2019). A conceptual framework for determining the success factors of e-learning system implementation using Delphi technique. Journal of Theoretical and Applied Information Technology, 97(1), 1-19.
  • Alrasheedi, M., Capretz, L. F., & Raza, A. (2015). Management’s perspective on critical success factors affecting mobile learning in higher education institutions—An empirical study. Journal of Educational Computing Research, 52(2), 257-276. https://doi.org/10.1177/0735633115571928
  • Alsabawy, A. Y., Cater-Steel, A., & Soar, J. (2013). Determinants of perceived usefulness of e-learning systems. Computers in Human Behavior, 29(2), 843-855. https://doi.org/10.1016/j.chb.2012.10.017
  • Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.
  • Baran, E. (2014). A review of research on mobile learning in teacher education. Educational Technology & Society, 17(4), 17-32.
  • Brown, T. H. (2012). Towards a model for M-Learning in Africa. International Journal on E-Learning, 1(2), 18-29.
  • Buchem, I., & Pérez-Sanagustín, M. (2013). Personal learning environments in smart cities: Current approaches and future scenarios. eLearning Papers, 35, 1-15.
  • Burden, K., Kearney, M., Schuck, S., & Hall, T. (2012). Investigating and developing new models of practice in mobile pedagogy. In Proceedings of the 11th World Conference on Mobile and Contextual Learning (mLearn 2012) (pp. 37-44).
  • Cavus, N., & Ibrahim, D. (2009). M-Learning: An experiment in using SMS to support learning new English language words. British Journal of Educational Technology, 40(1), 78-91. https://doi.org/10.1111/j.1467-8535.2007.00801.x
  • Chen, B., Seilhamer, R., Bennett, L., & Bauer, S. (2011). Students' mobile learning practices in higher education: A multi-year study. EDUCAUSE Review, 46(2), 58-59.
  • Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches (3rd ed.). Sage.
  • Crompton, H. (2013). A historical overview of m-learning: Toward learner-centered education. In Z. L. Berge & L. Y. Muilenburg (Eds.), Handbook of Mobile Learning (pp. 3-14). Routledge.
  • Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Springer US.
  • DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
  • DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.
  • Denzin, N. K., & Lincoln, Y. S. (Eds.). (2011). The SAGE handbook of qualitative research (4th ed.). Sage.
  • Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: Defining “gamification”. In Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments (pp. 9-15). ACM. https://doi.org/10.1145/2181037.2181040
  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.
  • Gan, C. L., Wong, D. H., & Subramaniam, R. (2012). Mobile learning in Malaysia: Adopting the past to shape the future. In Handbook of Mobile Learning (pp. 379-391). Routledge.
  • Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213-236. https://doi.org/10.2307/249689
  • Gupta, A., & Koo, C. (2016). Applications of structural equation modeling in marketing research: A review. International Journal of Research in Marketing, 33(2), 237-256. https://doi.org/10.1016/j.ijresmar.2015.10.008
  • Herzberg, F. (1966). Work and the nature of man. World Publishing Company.
  • Hwang, G. J., & Chang, H. F. (2011). A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students. Computers & Education, 56(1), 1023-1031. https://doi.org/10.1016/j.compedu.2010.12.002
  • Hwang, G. J., & Wu, P. H. (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 Organisation, 8(2), 83-95. https://doi.org/10.1504/IJMLO.2014.062346
  • Johnson, L., Becker, S. A., Estrada, V., & Freeman, A. (2014). NMC horizon report: 2014 higher education edition. The New Media Consortium.
  • Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Utilization of mass communication by the individual. In J. G. Blumler & E. Katz (Eds.), The uses of mass communications: Current perspectives on gratifications research (pp. 19-32). Sage.
  • Keegan, D. (2002). The future of learning: From eLearning to mLearning. FernUniversität in Hagen.
  • Kitchenham, B. (2004). Procedures for performing systematic reviews. Keele, UK, Keele University, 33(2004), 1-26.
  • Kondo, K., Ishikawa, S., Smith, C., Sakamoto, K., Shimomura, H., & Wada, N. (2014). Mobile assisted language learning in university EFL courses in Japan: Developing attitudes and skills for self-regulated learning. ReCALL, 24(2), 169-187. https://doi.org/10.1017/S0958344014000050
  • Krull, G. E., & Duart, J. M. (2017). Research trends in mobile learning in higher education: A systematic review of articles (2011–2015). International Review of Research in Open and Distributed Learning, 18(7), 1-23. https://doi.org/10.19173/irrodl.v18i7.2893
  • Kukulska-Hulme, A. (2010). Mobile learning as a catalyst for change. Open Learning, 25(3), 181-185. https://doi.org/10.1080/02680513.2010.511945
  • Kumar, A., & Sharma, S. (2019). A systematic review of usability issues in M-Learning. International Journal of Interactive Mobile Technologies (iJIM, 13)(7), 42-53. https://doi.org/10.3991/ijim.v13i07.10791
  • Kumar, R., & Sharma, P. (2020). Usability evaluation of mobile learning applications: A systematic literature review. Education and Information Technologies, 25(1), 451-470. https://doi.org/10.1007/s10639-019-09966-1
  • Lee, Y. (2010). Exploring students' perceptions of using mobile technology in higher education. Journal of Educational Technology, 41(2), 45-60.
  • 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.
  • Merchant, Z., Goetz, E. T., Cifuentes, L., Keeney-Kennicutt, W., & Davis, T. J. (2012). Effectiveness of virtual reality-based instruction on students' learning outcomes in K-12 and higher education: A meta-analysis. Computers & Education, 70, 29-40. https://doi.org/10.1016/j.compedu.2013.07.033
  • Motiwalla, L. F. (2007). Mobile learning: A framework and evaluation. Computers & Education, 49(3), 581-596. https://doi.org/10.1016/j.compedu.2005.10.011
  • Okoli, C., & Schabram, K. (2010). A guide to conducting a systematic literature review of information systems research. Working Papers on Information Systems, 10(26), 1-51.
  • Pachler, N., Bachmair, B., & Cook, J. (2010). Mobile learning: Structures, agency, practices. Springer.
  • Park, Y. (2011). A pedagogical framework for mobile learning: Categorizing educational applications of mobile technologies into four types. The International Review of Research in Open and Distributed Learning, 12(2), 78-102. https://doi.org/10.19173/irrodl.v12i2.791
  • Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
  • Schwartz, S. H. (1992). Universals in the content and structure of values: Theoretical advances and empirical tests in 20 countries. In M. Zanna (Ed.), Advances in experimental social psychology (Vol. 25, pp. 1-65). Academic Press.
  • Sharples, M., Taylor, J., & Vavoula, G. (2005). Towards a theory of mobile learning. In Proceedings of mLearn 2005 Conference (pp. 1-9). Cape Town, South Africa.
  • Shih, J. L., Chuang, C. W., & Hwang, G. J. (2010). An inquiry-based mobile learning approach to enhancing social science learning effectiveness. Educational Technology & Society, 13(4), 50-62.
  • Statista. (2022). Number of mobile phone users worldwide from 2016 to 2021, with a forecast until 2025. Retrieved from https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/
  • Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE handbook of mixed methods in social & behavioral research (2nd ed.). Sage.
  • Thomas, K. M., Singh, L., & Gaffar, K. (2013). The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana. International Journal of Education and Development using Information and Communication Technology, 9(3), 71-85.
  • Traxler, J. (2007). Defining, discussing, and evaluating mobile learning: The moving finger writes and having writ… The International Review of Research in Open and Distributed Learning, 8(2), 1-12.
  • UNICEF. (2021). COVID-19 and school closures: One year of education disruption. Retrieved from https://www.unicef.org/press-releases/schools-more-168-million-children-globally-have-been-completely-closed
  • Vavoula, G., & Sharples, M. (2009). Meeting the challenges in evaluating mobile learning: A 3-level evaluation framework. International Journal of Mobile and Blended Learning (IJMBL), 1(2), 54-75. https://doi.org/10.4018/jmbl.2009040105
  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
  • Wang, S., & Shen, J. (2012). Message design for mobile learning: Learning theories, human cognition and design principles. British Journal of Educational Technology, 43(4), 561-575. https://doi.org/10.1111/j.1467-8535.2011.01214.x

Research on Mobile Learning (M-Learning) in Higher Education: A Systematic Review (2016 to 2023)

Year 2024, Volume: 7 Issue: 2, 286 - 307, 29.10.2024
https://doi.org/10.53048/johass.1565945

Abstract

This study investigates the evolution of mobile learning (M-Learning) applications in higher education between 2016 and 2023. This period marks an era of significant technological innovations and the profound impacts of the COVID-19 pandemic on education. The purpose of this research is to delineate how M-Learning applications are represented in the academic literature during this time and to identify research trends within this field. The research is based on a systematic review of 161 academic articles related to M-Learning, published between 2016 and 2023 in the Scopus and Web of Science databases. The study utilizes the TCCM (Theory, Context, Characteristics, Methodology) framework to conduct an in-depth analysis of theoretical approaches, research contexts, learning characteristics, and methodological strategies in the literature. The findings reveal that M-Learning positively impacts areas such as collaboration, skill development, and self-assessment among students. The effective use of mobile devices as educational tools by instructors and students is identified as crucial for the success of M-Learning applications. Moreover, the success of M-Learning is closely linked to users' attitudes toward technology and the integration of technological and pedagogical supports into the learning processes. This systematic review provides significant insights into how M-Learning can transform learning and teaching practices in higher education. It suggests strategic planning and further research for educators, policymakers, and researchers on integrating mobile technologies into learning processes. Specifically, there is a need to explore the long-term effects of M-Learning on student achievement and its applicability in various learning contexts.

References

  • Aamri, A., & Suleiman, K. (2011). The use of mobile phones in learning English language by Sultan Qaboos University students: Practices, attitudes and challenges. Canadian Journal on Scientific and Industrial Research, 2(3), 143-152.
  • Al-Emran, M., Elsherif, H. M., & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher education. Computers in Human Behavior, 56, 93-102. https://doi.org/10.1016/j.chb.2015.11.033
  • Al-Fahad, F. N. (2009). Students' attitudes and perceptions towards the effectiveness of mobile learning in King Saud University, Saudi Arabia. The Turkish Online Journal of Educational Technology, 8(2), 111-119.
  • Ally, M. (2009). Mobile learning: Transforming the delivery of education and training. Athabasca University Press.
  • Almaiah, M. A., & Almulhem, A. (2019). A conceptual framework for determining the success factors of e-learning system implementation using Delphi technique. Journal of Theoretical and Applied Information Technology, 97(1), 1-19.
  • Alrasheedi, M., Capretz, L. F., & Raza, A. (2015). Management’s perspective on critical success factors affecting mobile learning in higher education institutions—An empirical study. Journal of Educational Computing Research, 52(2), 257-276. https://doi.org/10.1177/0735633115571928
  • Alsabawy, A. Y., Cater-Steel, A., & Soar, J. (2013). Determinants of perceived usefulness of e-learning systems. Computers in Human Behavior, 29(2), 843-855. https://doi.org/10.1016/j.chb.2012.10.017
  • Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.
  • Baran, E. (2014). A review of research on mobile learning in teacher education. Educational Technology & Society, 17(4), 17-32.
  • Brown, T. H. (2012). Towards a model for M-Learning in Africa. International Journal on E-Learning, 1(2), 18-29.
  • Buchem, I., & Pérez-Sanagustín, M. (2013). Personal learning environments in smart cities: Current approaches and future scenarios. eLearning Papers, 35, 1-15.
  • Burden, K., Kearney, M., Schuck, S., & Hall, T. (2012). Investigating and developing new models of practice in mobile pedagogy. In Proceedings of the 11th World Conference on Mobile and Contextual Learning (mLearn 2012) (pp. 37-44).
  • Cavus, N., & Ibrahim, D. (2009). M-Learning: An experiment in using SMS to support learning new English language words. British Journal of Educational Technology, 40(1), 78-91. https://doi.org/10.1111/j.1467-8535.2007.00801.x
  • Chen, B., Seilhamer, R., Bennett, L., & Bauer, S. (2011). Students' mobile learning practices in higher education: A multi-year study. EDUCAUSE Review, 46(2), 58-59.
  • Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches (3rd ed.). Sage.
  • Crompton, H. (2013). A historical overview of m-learning: Toward learner-centered education. In Z. L. Berge & L. Y. Muilenburg (Eds.), Handbook of Mobile Learning (pp. 3-14). Routledge.
  • Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Springer US.
  • DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
  • DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.
  • Denzin, N. K., & Lincoln, Y. S. (Eds.). (2011). The SAGE handbook of qualitative research (4th ed.). Sage.
  • Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: Defining “gamification”. In Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments (pp. 9-15). ACM. https://doi.org/10.1145/2181037.2181040
  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.
  • Gan, C. L., Wong, D. H., & Subramaniam, R. (2012). Mobile learning in Malaysia: Adopting the past to shape the future. In Handbook of Mobile Learning (pp. 379-391). Routledge.
  • Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213-236. https://doi.org/10.2307/249689
  • Gupta, A., & Koo, C. (2016). Applications of structural equation modeling in marketing research: A review. International Journal of Research in Marketing, 33(2), 237-256. https://doi.org/10.1016/j.ijresmar.2015.10.008
  • Herzberg, F. (1966). Work and the nature of man. World Publishing Company.
  • Hwang, G. J., & Chang, H. F. (2011). A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students. Computers & Education, 56(1), 1023-1031. https://doi.org/10.1016/j.compedu.2010.12.002
  • Hwang, G. J., & Wu, P. H. (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 Organisation, 8(2), 83-95. https://doi.org/10.1504/IJMLO.2014.062346
  • Johnson, L., Becker, S. A., Estrada, V., & Freeman, A. (2014). NMC horizon report: 2014 higher education edition. The New Media Consortium.
  • Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Utilization of mass communication by the individual. In J. G. Blumler & E. Katz (Eds.), The uses of mass communications: Current perspectives on gratifications research (pp. 19-32). Sage.
  • Keegan, D. (2002). The future of learning: From eLearning to mLearning. FernUniversität in Hagen.
  • Kitchenham, B. (2004). Procedures for performing systematic reviews. Keele, UK, Keele University, 33(2004), 1-26.
  • Kondo, K., Ishikawa, S., Smith, C., Sakamoto, K., Shimomura, H., & Wada, N. (2014). Mobile assisted language learning in university EFL courses in Japan: Developing attitudes and skills for self-regulated learning. ReCALL, 24(2), 169-187. https://doi.org/10.1017/S0958344014000050
  • Krull, G. E., & Duart, J. M. (2017). Research trends in mobile learning in higher education: A systematic review of articles (2011–2015). International Review of Research in Open and Distributed Learning, 18(7), 1-23. https://doi.org/10.19173/irrodl.v18i7.2893
  • Kukulska-Hulme, A. (2010). Mobile learning as a catalyst for change. Open Learning, 25(3), 181-185. https://doi.org/10.1080/02680513.2010.511945
  • Kumar, A., & Sharma, S. (2019). A systematic review of usability issues in M-Learning. International Journal of Interactive Mobile Technologies (iJIM, 13)(7), 42-53. https://doi.org/10.3991/ijim.v13i07.10791
  • Kumar, R., & Sharma, P. (2020). Usability evaluation of mobile learning applications: A systematic literature review. Education and Information Technologies, 25(1), 451-470. https://doi.org/10.1007/s10639-019-09966-1
  • Lee, Y. (2010). Exploring students' perceptions of using mobile technology in higher education. Journal of Educational Technology, 41(2), 45-60.
  • 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.
  • Merchant, Z., Goetz, E. T., Cifuentes, L., Keeney-Kennicutt, W., & Davis, T. J. (2012). Effectiveness of virtual reality-based instruction on students' learning outcomes in K-12 and higher education: A meta-analysis. Computers & Education, 70, 29-40. https://doi.org/10.1016/j.compedu.2013.07.033
  • Motiwalla, L. F. (2007). Mobile learning: A framework and evaluation. Computers & Education, 49(3), 581-596. https://doi.org/10.1016/j.compedu.2005.10.011
  • Okoli, C., & Schabram, K. (2010). A guide to conducting a systematic literature review of information systems research. Working Papers on Information Systems, 10(26), 1-51.
  • Pachler, N., Bachmair, B., & Cook, J. (2010). Mobile learning: Structures, agency, practices. Springer.
  • Park, Y. (2011). A pedagogical framework for mobile learning: Categorizing educational applications of mobile technologies into four types. The International Review of Research in Open and Distributed Learning, 12(2), 78-102. https://doi.org/10.19173/irrodl.v12i2.791
  • Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
  • Schwartz, S. H. (1992). Universals in the content and structure of values: Theoretical advances and empirical tests in 20 countries. In M. Zanna (Ed.), Advances in experimental social psychology (Vol. 25, pp. 1-65). Academic Press.
  • Sharples, M., Taylor, J., & Vavoula, G. (2005). Towards a theory of mobile learning. In Proceedings of mLearn 2005 Conference (pp. 1-9). Cape Town, South Africa.
  • Shih, J. L., Chuang, C. W., & Hwang, G. J. (2010). An inquiry-based mobile learning approach to enhancing social science learning effectiveness. Educational Technology & Society, 13(4), 50-62.
  • Statista. (2022). Number of mobile phone users worldwide from 2016 to 2021, with a forecast until 2025. Retrieved from https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/
  • Tashakkori, A., & Teddlie, C. (Eds.). (2010). SAGE handbook of mixed methods in social & behavioral research (2nd ed.). Sage.
  • Thomas, K. M., Singh, L., & Gaffar, K. (2013). The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana. International Journal of Education and Development using Information and Communication Technology, 9(3), 71-85.
  • Traxler, J. (2007). Defining, discussing, and evaluating mobile learning: The moving finger writes and having writ… The International Review of Research in Open and Distributed Learning, 8(2), 1-12.
  • UNICEF. (2021). COVID-19 and school closures: One year of education disruption. Retrieved from https://www.unicef.org/press-releases/schools-more-168-million-children-globally-have-been-completely-closed
  • Vavoula, G., & Sharples, M. (2009). Meeting the challenges in evaluating mobile learning: A 3-level evaluation framework. International Journal of Mobile and Blended Learning (IJMBL), 1(2), 54-75. https://doi.org/10.4018/jmbl.2009040105
  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
  • Wang, S., & Shen, J. (2012). Message design for mobile learning: Learning theories, human cognition and design principles. British Journal of Educational Technology, 43(4), 561-575. https://doi.org/10.1111/j.1467-8535.2011.01214.x
There are 57 citations in total.

Details

Primary Language English
Subjects Other Fields of Education (Other), Sociology and Social Studies of Science and Technology
Journal Section Research Article
Authors

Gamze Mercan 0000-0001-5515-999X

Zümrüt Varol Selçuk 0000-0001-5015-0291

Erdem Kaya 0000-0002-1524-7829

Publication Date October 29, 2024
Submission Date October 12, 2024
Acceptance Date October 29, 2024
Published in Issue Year 2024 Volume: 7 Issue: 2

Cite

APA Mercan, G., Varol Selçuk, Z., & Kaya, E. (2024). Research on Mobile Learning (M-Learning) in Higher Education: A Systematic Review (2016 to 2023). Journal of Human and Social Sciences, 7(2), 286-307. https://doi.org/10.53048/johass.1565945

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