Online Learning Cognition as Perceived by Undergraduate Students in China Eastern Province

Authors

  • zezhao LIU School of Public Administration & Sociology, Jiangsu Normal University, Xuzhou, China
  • Haifeng Tian Department of Business Management, Shaanxi Business College, China

DOI:

https://doi.org/10.24203/ajeel.v8i3.5308

Keywords:

e-learning, recognition, influencing factor, northwest China

Abstract

Company with global educational reform brought by digital governance and the challenge of COVID-19 pandemic in the year 2020, it is quite necessary to explore learners’ recognition behaviors for on-line learning in the context of locked environment. By investigating on-line learning practices in China eastern provincial regions, the study attempts to disclose the undergraduate students’ perceptions on the issues pertaining to on-line learning and the innate critical factors for individual intention through the selected region of relatively-developed eastern China. A survey design was used for the study, and a close- ended questionnaire with the six point Likert scale was developed regarding the issues over on-line learning practices. The findings indicate that instructor characteristics and teaching resources are the predictors of the perceived usefulness of on-line learning, and perceived usefulness coupled with the joyfulness are the predictors of on-line learning recognition. While statistically significant, perceived adaptability was shown to own the weakest effect for on-line learning recognition among the predictors. All these results are consistent with previous studies in other China regions, proving the universal trait of learners’ perception and individual behavior towards on-line learning. Implications and future research are discussed eventually.

Author Biographies

  • zezhao LIU, School of Public Administration & Sociology, Jiangsu Normal University, Xuzhou, China

    associate professor in School of Philosophy & Public Management

  • Haifeng Tian, Department of Business Management, Shaanxi Business College, China

    professor in Department of Business Management

References

Kahiigi E K, Vesisenaho M, Tusubira F F, et al. “Peer Assignment Review Process for Collaborative E-learning: Is the Student Learning Process Changing?” International Journal of Advanced Computer Science & Applications, vol.3, no.12, pp.1-7. 2013.

Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., & Yeh, D. “What drives a successful e-learning? An empirical investigation of the critical factors influencing learner satisfaction”. Computers & Education, vol.50,no.4, pp.1183–1202. 2008.

Shee D Y, Wang Y S. “Multi-criteria evaluation of the web-based e-learning system: A methodology based on learner satisfaction and its applications”. Computers & Education, vol.50, no.3, pp.894–905. 2008.

Al-Busaidi K A, Al-Shihi H. Key factors to instructors’ satisfaction of learning management systems in blended learning[J]. Journal of Computing in Higher Education, vol.24, no.1, pp.18-39. 2012.

Motiwalla, L. F. “Mobile learning: a framework and evaluation”. Computers & Education, vol.49, no.3, pp.581–596.2007.

Bouhnik, D., & Marcus, T. “Interaction in distance-learning courses”. Journal of the American Society Information Science and Technology, vol.57, no.3, pp.299–305. 2006.

Ellis R A, Goodyear P. “Students' experiences of e-learning in higher education: the ecology of sustainable innovation”. Students' Experiences of e-Learning in Higher Education. 2013.

Ben-Asher N, Gonzalez C. “Effects of cyber security knowledge on attack detection”. Computers in Human Behavior, vol.48, no. 4, 51–61.2015.

Giesbers B, Rienties B, Tempelaar D, et al. “Investigating the relations between motivation, tool use, participation, and performance in an e-learning course using web-videoconferencing”. Computers in Human Behavior, vol.29, no. 1, pp. 285–292. 2013.

Alenezi A M. “E-learning in Higher Education”. Journal of Tianjin University of Technology & Education, vol.3, no.2, pp.1-14. 2018.

Eom, S. B., Wen, H. J., & Ashill, N. “The determinants of students’ perceived learning outcomes and satisfaction in university online education: An empirical investigation”. Decision Sciences Journal of Innovative Education, vol.4, no.2, pp.215–235. 2006.

Levy, Y. “Comparing dropouts and persistence in e-learning courses”. Computers and Education, vol.48, no. 2. pp. 185–204. 2007.

Roca J C, Gagné M. “Understanding e-learning continuance intention in the workplace: A self-determination theory perspective”. Computers in Human Behavior, vol.24, no.4, pp.585-1604. 2008.

Kramarski, B., & Gutman, M. “How can self-regulated learning be supported in mathematical E-learning environments?” Journal of Computer Assisted Learning, vol. 22, no.1, pp.24-33.2016.

Selim, H. M. “E-learning critical success factors: An exploratory investigation of student perceptions”. International Journal of Technology Marketing, vol.2, no. 2, pp.157–182. 2007.

Venkatesh, V., & Davis, F. D. “A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies”. Management Science, vol.46, no. 2, pp.186–204. 2000.

Pituch, K., & Lee, Y. “The influence of system characteristics on e-learning use”. Computers and Education, vol.47, no.2, pp.222–244. 2006.

Chiu, CM., Hsu, MH., Sun, SY., Lin, TC., & Sun, PC. “Usability, quality, value and e-learning continuance decisions”. Computers and Education, vol.45, no.4, pp.399–416.2005.

Roca J C, Chiu C M, Martínez F J. “Understanding e-learning continuance intention: An extension of the Technology Acceptance Model”. International Journal of Human-Computer Studies, vol.64. no.8, pp.683-696. 2006.

Holmgren J L, Bolkan S. “Instructor Responses to Rhetorical Dissent: Student Perceptions of Justice and Classroom Outcome”. Communication Education, vol.63, no.1, pp.17-40. 2014.

Liaw S S, Huang H M. “Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments”. Computers & Education, vol. 60, no.1, pp.14-24. 2013.

Liaw, S. S. “Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system”. Computers and Education, vol.51, no.2, pp.864–873. 2008.

Shee, D., & Wang, Y. H. “Multi-criteria evaluation of the web-based e-learning system: a methodology based on learner satisfaction and its applications”. Computers & Education, vol.50, no.3, pp.894–905. 2008.

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Published

2020-12-29

How to Cite

Online Learning Cognition as Perceived by Undergraduate Students in China Eastern Province. (2020). Asian Journal of Education and E-Learning, 8(3). https://doi.org/10.24203/ajeel.v8i3.5308

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