Online Learning Cognition as Perceived by Undergraduate Students in China Eastern Province
DOI:
https://doi.org/10.24203/ajeel.v8i3.5308Keywords:
e-learning, recognition, influencing factor, northwest ChinaAbstract
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.
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.
Downloads
Published
Issue
Section
License
Copyright (c) 2020 zezhao LIU, Haifeng Tian
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
- Papers must be submitted on the understanding that they have not been published elsewhere (except in the form of an abstract or as part of a published lecture, review, or thesis) and are not currently under consideration by another journal published by any other publisher.
- It is also the authors responsibility to ensure that the articles emanating from a particular source are submitted with the necessary approval.
- The authors warrant that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required.
- The authors ensure that all the references carefully and they are accurate in the text as well as in the list of references (and vice versa).
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-NonCommercial 4.0 International that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
- The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.