A Study on Factors Affecting the Mobile Learning of Undergraduate Students in China

Degang Lai, Chun Mao

Southwest University, Chongqing, China.

DOI: 10.4236/ce.2014.55046                

Abstract

There are many factors affecting the mobile learning of undergraduate students. This paper adopts the structure of close-ended and the Likert-Scale five-point measure questionnaire. We choose 300 undergraduate students as the respondents, and they all come from 4 universities in Chongqing. The result indicates: 1) Infrastructure construction of the mobile network in universities is very good, more than 70% of schools open the WIFI to all of the students; 2) The self-efficacy of mobile learning of undergraduate students is very high, more than 96% of the respondents use Mobile Phone to link to internet, and most of them think that they have the ability to use mobile devices and mobile learning; 3) Encouragements from teachers, classmates and friends are unsatisfactory, only 25.4% of the respondents agree with the item “The teacher has been encouraged me to use mobile learning” (10.3% strongly agree, 15.1% agree, M = 2.84); 4) The fee of using mobile devices should be decreased to meet students’ learning, only 19.5% of respondents agree with the item “The charge of using mobile devices is cheap for me” (4.4% strongly agree, 15.1% agree, M = 2.70).

Keywords

Mobile Learning; M-Learning; Undergraduate Students

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Ji, X.-H., & Xie, J. (2012). The Research of the Database Theory Course Based on M-Learning. Computer Knowledge and Technology, 26, 38-41.
[2]	Liu, A. J., & Liu, Z. (2013). Research on the Acceptance and Influence Factors of Mobile Learning. Open Education Research, 19, 104-111.
[3]	Liu, G. P., & Wu, X. (2011). Analysis of Influence Factors on Acceptance of Mobile Learning for College Students in Wen Zhou. Modern Educational Technology, 21, 115-119.
[4]	Martin, F., & Ertzberger, J. (2013). Here and Now Mobile Learning: An Experimental Study on the Use of Mobile Technology. Computers & Education, 68, 76-85. http://dx.doi.org/10.1016/j.compedu.2013.04.021
[5]	Miao, L., & Pan, Z. S. (2012). The Review of Domestic M-Learning Research. Modern Educational Technology, 22, 23-28.
[6]	Mo, M. F., & Zhang, J. Q. (2012). Mobile Phone Addiction’s Influence to the College Students’ Mobile Learning and the Matching Guidance. Modern Distance Education, 14, 80-84.
[7]	Sharples, M., Taylor, J., & Vavoula, G. (2005). Towards a Theory of Mobile Learning. Proceedings of mLearn, 1, 1-9.
[8]	Shishah, W., Hopkins, G., FitzGerald, E., & Higgins, C. (2013). Supporting Interaction in Learning Activities Using Mobile Devices in Higher Education. QScience Proceedings: 12th World Conference on Mobile and Contextual Learning (mLearn 2013), 2013, 35. http://dx.doi.org/10.5339/qproc.2013.mlearn.35
[9]	Wang, X. C., & Huang, R. H. (2012). Mobile Learning Service Design for Informal Learning Context. Open Education Research, 18, 16-20.
[10]	Wang, Y. M., & Wang, J. (2013). Research Status and Future Trends of China’s Mobile Learning in Recent 20 Years. Modern Distance Education Research, 10, 49-55.
[11]	Zhang, L.-L., & Huang, R. M. (2013). A Critical Analysis of Environment Designing for Mobile Learning. Modern Educational Technology, 23, 115-119.