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DIFFUSION OF M-LEARNING: AN ACCEPTANCE MODEL PROPOSAL

Year 2016, Volume: 4 , 363 - 366, 01.09.2016

Abstract

The
potential impact of mobile devices on higher education, our understanding of
the issues surrounding the use of mobile technology for providing access to
library and information resources, and their impact on lifelong learning
opportunities are unclear and still evolving. Attempts to apply information
adoption models to explain student use and intention to use audio, video,
mobile services, and mobile learning have been limited and need further
investigation to determine whether these models need modification to address
mobile technology acceptance. This paper analyzes college students’ acceptance
attributes based upon Diffusion of Innovation (DOI) framework towards using the
m-learning. 

References

  • Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215. Al-Jabri, I., & Sohail, M. (2012). Mobile Banking Adoption: Application of Diffusion of Innovation Theory. Journal of Electronic Commerce Research, 13(4), 379-391. Chang, S., & Tung, F. (2008). An empirical investigation of students' behavioral intentions to use the online learning course website. British Journal of Educational Technology, 39(1), 71-83. Chau, P., & Hu, P. (2001). Information technology acceptance by individual professionals: A model comparison approach. Decision Sciences, 32(4), 699-719. Cheung, W., Chang, M., & Lai, V. (2000). Prediction of internet and World Wide Web usage at work: a test of an extended Triandis model. Decision Support Systems, 30(1), 83-100. Clarke, C. (2000). Coming attraction. Wireless Review, 17(12), 12-16. Fozdar, B., & Kumar, L. (2007). Mobile Learning and Student Retention. International Review of Research in Open & Distance Learning, 8(2), 1-18. InfoDev. (2010). ICT in school education (primary and secondary) . February 25, 2016 tarihinde p://www.infodev.org/en/Document.1016.pdf adresinden alındı Kennedy, G., Dalgarno, B., Bennett, S., Terry-Judd, K., & Chang, R. (2008). Immigrants and natives: investigating differences between staff and students’ use of technology. 25th Annual Conference of the Australasian Society for Computers in Learning in Tertairy Education (ASCILITE). Deakin University Melbourn: Australia. Khanh, N., & Gim, G. (2014). Factors influencing mobile learning adoption intention: an empirical investigation in high education. Journal of Social Sciences, 10(2), 51-62. Lee, Y. (2006). An empirical investigation into factors influencing adoption of e-learning system. Online Information Review, 30(5), 517-541. Lin, H. (2011). An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust. International Journal of Information Management, 31(3), 252-260. Lu, X., & Viehland, D. (2008). Factors influencing the adoption of mobile learning. 19th Australisian Conference on Information Systems, (s. 56). Luarn, P., & Lin, H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873-891. McColskey, D. (2006). The Importance of Ease of Use, Usefulness, and Trust to Online Consumers: An Examination of the Technology Acceptance Model with Older Consumers. Journal of Organizational and End User Computing, 18(3), 47-65. McConatha, D., Praul, M., & Lynch, M. (2008). Mobile learning in higher education: An empirical assessment of a new educational tool. The Turkish Online Journal of Educational Technology, 7(3), 15-21. Meister, J. (2011). The year of media tablets as a learning tool. Technology and Development (T&D), 65(4), 28-32. Moore, G., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222. Nassuora, A. (2013). Students acceptance of mobile learning for higher education in Saudi Arabia. International Journal of Learning Management Systems, 1(1), 1-9. Ndayizigamiye, P., & McArthur, B. (2014). Determinants of E-Commerce Adoption amongst SMMEs in Durban, South Africa. Mediterranean Journal of Social Sciences, 5(25), 250-256. Ndubisi, N. (2004). “Factor influencing e-learning adoption intention examining the determinant structure of the decompose theory of planned behaviour constructs. In Proceedings of the 27th Annual Conference of HERDSA. Parisot, A. (1997). Distance Education as a Catalyst for Changing Teaching in the Community College: Implications for Institutional Policy. New Directions for Community Colleges(99), 5-13. Rogers, E. (2003). Diffusion of innovations. New York: Free Press. Seyal, A., & Rahman, M. (2003). A preliminary investigation of e-commerce adoption in SMEs in Brunei. Journal of Global Information Technology Management, 6(6), 6-26. Soffer, T., Nachmias, R., & Ram, J. (2010). Diffusion of Web Supported Instruction in Higher Education – The Case of Tel Aviv University. Educational Technology & Society, 13(3), 212-223. Tan, M., & Teo, T. (2000). Factors influencing the adoption of internet banking. Journal of the Association for Information Systems, 1(5), 1-44. Tshabalala, M., Ndeye-Ndereya, C., & Merwe, T. (2014). Implementing Blended Learning at a Developing University: Obstacles in the way. The Electronic Journal of e-Learning, 12(1), 101-110. Vijayasarathy, L. (2004). Predicting consumer intentions to use online shopping: the case for an augmented technology acceptance model. Information and Management, 41(6), 747-762. Wang, Y. S., Wu, M. C., & Wang, H. Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92–118. Yi, M., & Hwang, Y. (2003). Predicting the use of web-based information systems: self-efficacy enjoyment leaving goal orientation at the technology acceptance model. International Journal of Human-Computer Studies, 59, 431-449.
Year 2016, Volume: 4 , 363 - 366, 01.09.2016

Abstract

References

  • Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215. Al-Jabri, I., & Sohail, M. (2012). Mobile Banking Adoption: Application of Diffusion of Innovation Theory. Journal of Electronic Commerce Research, 13(4), 379-391. Chang, S., & Tung, F. (2008). An empirical investigation of students' behavioral intentions to use the online learning course website. British Journal of Educational Technology, 39(1), 71-83. Chau, P., & Hu, P. (2001). Information technology acceptance by individual professionals: A model comparison approach. Decision Sciences, 32(4), 699-719. Cheung, W., Chang, M., & Lai, V. (2000). Prediction of internet and World Wide Web usage at work: a test of an extended Triandis model. Decision Support Systems, 30(1), 83-100. Clarke, C. (2000). Coming attraction. Wireless Review, 17(12), 12-16. Fozdar, B., & Kumar, L. (2007). Mobile Learning and Student Retention. International Review of Research in Open & Distance Learning, 8(2), 1-18. InfoDev. (2010). ICT in school education (primary and secondary) . February 25, 2016 tarihinde p://www.infodev.org/en/Document.1016.pdf adresinden alındı Kennedy, G., Dalgarno, B., Bennett, S., Terry-Judd, K., & Chang, R. (2008). Immigrants and natives: investigating differences between staff and students’ use of technology. 25th Annual Conference of the Australasian Society for Computers in Learning in Tertairy Education (ASCILITE). Deakin University Melbourn: Australia. Khanh, N., & Gim, G. (2014). Factors influencing mobile learning adoption intention: an empirical investigation in high education. Journal of Social Sciences, 10(2), 51-62. Lee, Y. (2006). An empirical investigation into factors influencing adoption of e-learning system. Online Information Review, 30(5), 517-541. Lin, H. (2011). An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust. International Journal of Information Management, 31(3), 252-260. Lu, X., & Viehland, D. (2008). Factors influencing the adoption of mobile learning. 19th Australisian Conference on Information Systems, (s. 56). Luarn, P., & Lin, H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873-891. McColskey, D. (2006). The Importance of Ease of Use, Usefulness, and Trust to Online Consumers: An Examination of the Technology Acceptance Model with Older Consumers. Journal of Organizational and End User Computing, 18(3), 47-65. McConatha, D., Praul, M., & Lynch, M. (2008). Mobile learning in higher education: An empirical assessment of a new educational tool. The Turkish Online Journal of Educational Technology, 7(3), 15-21. Meister, J. (2011). The year of media tablets as a learning tool. Technology and Development (T&D), 65(4), 28-32. Moore, G., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222. Nassuora, A. (2013). Students acceptance of mobile learning for higher education in Saudi Arabia. International Journal of Learning Management Systems, 1(1), 1-9. Ndayizigamiye, P., & McArthur, B. (2014). Determinants of E-Commerce Adoption amongst SMMEs in Durban, South Africa. Mediterranean Journal of Social Sciences, 5(25), 250-256. Ndubisi, N. (2004). “Factor influencing e-learning adoption intention examining the determinant structure of the decompose theory of planned behaviour constructs. In Proceedings of the 27th Annual Conference of HERDSA. Parisot, A. (1997). Distance Education as a Catalyst for Changing Teaching in the Community College: Implications for Institutional Policy. New Directions for Community Colleges(99), 5-13. Rogers, E. (2003). Diffusion of innovations. New York: Free Press. Seyal, A., & Rahman, M. (2003). A preliminary investigation of e-commerce adoption in SMEs in Brunei. Journal of Global Information Technology Management, 6(6), 6-26. Soffer, T., Nachmias, R., & Ram, J. (2010). Diffusion of Web Supported Instruction in Higher Education – The Case of Tel Aviv University. Educational Technology & Society, 13(3), 212-223. Tan, M., & Teo, T. (2000). Factors influencing the adoption of internet banking. Journal of the Association for Information Systems, 1(5), 1-44. Tshabalala, M., Ndeye-Ndereya, C., & Merwe, T. (2014). Implementing Blended Learning at a Developing University: Obstacles in the way. The Electronic Journal of e-Learning, 12(1), 101-110. Vijayasarathy, L. (2004). Predicting consumer intentions to use online shopping: the case for an augmented technology acceptance model. Information and Management, 41(6), 747-762. Wang, Y. S., Wu, M. C., & Wang, H. Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92–118. Yi, M., & Hwang, Y. (2003). Predicting the use of web-based information systems: self-efficacy enjoyment leaving goal orientation at the technology acceptance model. International Journal of Human-Computer Studies, 59, 431-449.
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Details

Journal Section Articles
Authors

Naciye Güliz Uğur This is me

Tuğba Koç This is me

Publication Date September 1, 2016
Published in Issue Year 2016 Volume: 4

Cite

APA Uğur, N. G., & Koç, T. (2016). DIFFUSION OF M-LEARNING: AN ACCEPTANCE MODEL PROPOSAL. The Eurasia Proceedings of Educational and Social Sciences, 4, 363-366.