Pu-Cong Li
ABSTRACT
Based on TTF and UTAUT, the adoption model of mobile learning is proposed by adding three external variables of learning situation, resource optimization and perceived cost. Based on the model assumption, a questionnaire is designed to study the adoption behavior of mobile learning among college students. The results show that task characteristics have a positive impact on college students' perceived task technology fit, and then affect users' adoption intention. Resource optimization, social impact, perceived cost, performance expectations, and task technology fit significantly affect users 'mobile learning adoption intentions. Among them, resource optimization has the strongest impact on college students' mobile learning adoption intentions. No significant effect of learning context on mobile learning of college students was found in this study.
- Quan, F. 2016. Investigation of Mobile Foreign Language Learning APP Development Strategies in Publishing University------Based on Mobile College Students Foreign Language Mobile Learning Questionnaire Survey in Shanghai. J. Science and Technology. (Oct. 2016), 87--90.Google Scholar
- Liu, L. C., and Sun, K. 2011. M-Learning user acceptance mechanism: an empirical study based on TAM. J. Research on Educational Technology. (Jul. 2011), 54--60.Google Scholar
- Wang, J.T. 2015. Research on the Factors Influencing College Students' Adoption of Mobile Learning Behaviors: Taking Higher Normal Colleges as Examples. J. China Distance Education. (Jan. 2015), 49--54.Google Scholar
- Zhang, L. X., and Qin, D. 2019. Research on the influencing factor system of teachers' adoption of new technologies from the perspective of integration. J. Journal of Distance Education. 37 (Apr. 2019), 106--112.Google Scholar
- Li, P. C., and Zhong, Y. S. 2014. A Study of Offline Merchants'Acceptance of Mobile O2O Commerce. J. Contemporary Finance. (Sept. 2014), 102--111.Google Scholar
- Zhai, Y. K., Zhang, R. X., Yang, Y.X., He, X. Y., and Zhao, J. 2019. Research on the patient's willingness to use telemedicine based on UTAUT and TTF models. J. Chinese Hospital Management. 39 (Sept. 2019), 24--26 + 38.Google Scholar
- Ming, J. R., Guo, C. Q., and Wang, X. 2018. An Empirical Research on Users' Behavioral Intention of Using Mobile Library Based on UTAUT. J. Researches in Library Science. 22(2018), 81--90.Google Scholar
- Miao, L., Pan, Z. S., and Wu, L. Z. 2012. A Review of China's Mobile Learning Research in 2011. J. Modern Educational Technology. 22 (Nov. 2012), 23--28.Google Scholar
- Hao, R. 2008. Application of PLS Path Modeling in 2007 Beijing Integrity Survey. Master's thesis. Capital University of Economics and Business.Google Scholar
- Hair, J. F., Ringle, C. M., and Sarstedt, M. 2011. Pls-sem: indeed a silver bullet. J. Journal of Marketing Theory & Practice. 19(Feb. 2011), 139--152.Google Scholar
Index Terms
- Research on the Mobile Learning Adoption of College Students Based on TTF and UTAUT
Recommendations
Understanding mobile learning adoption in higher education
PurposeThis study aims to examine the factors driving an individual's behavioural intention to adopt mobile learning in higher education.Design/methodology/approachData were collected from university students in China via a survey. A total of 192 valid ...
Integrating TTF and UTAUT to explain mobile banking user adoption
Due to its advantages such as ubiquity and immediacy, mobile banking has attracted traditional banks' interests. However, a survey report showed that user adoption of mobile banking was much lower than that of other mobile services. The extant research ...
Mobile-banking adoption by Iranian bank clients
This study provides insights into factors affecting the adoption of mobile banking in Iran. Encouraging clients to use the cell-phone for banking affairs, and negative trends in the adoption of this technology makes it imperative to study the factors ...
Comments