Challenges and Opportunities of Mobile Cloud Learning for Higher Education: A Case Study of the Integration of Cloud Learning Platform and Zuvio

Challenges and Opportunities of Mobile Cloud Learning for Higher Education: A Case Study of the Integration of Cloud Learning Platform and Zuvio

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Author(s): Yu-Fen Chen

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DOI: 10.18483/ijSci.2209 50 185 14-22 Volume 8 - Nov 2019


With the popularization of smart devices, the threshold for implementing cloud mobile learning is decreasing. With higher education presently facing the need for reform and innovation, this study addresses this need based upon the framework of activity theory. It implements a teaching mode combining a cloud learning platform and a real-time evaluation system, Zuvio, and explores the acceptance of this by students, the preparation and acceptance of teachers, and the support of the school. Also examined is whether the above three have different levels of cognition and actual execution problems and difficulties. The results of the study will be applied to courses in the School of Business and Management, where it will signify a major breakthrough in curriculum innovation. This study is based on the perspectives of students and teachers. The purpose is to understand the challenges and opportunities in teaching practice resulting from the integration of the cloud learning platform and Zuvio. It is expected that the research results obtained will be promoted, referenced, and applied to the teaching field of higher education as a pioneering procedure.


Cloud Learning Platform, Zuvio, Activity Theory, Higher Education


  1. Abdulfattah, F. H. (2019). Factors Affecting Students' Intention Toward Mobile Cloud Computing: Mobile Cloud Computing. International Journal of Cloud Applications and Computing (IJCAC) 9(2), 28-42.
  2. Bitner, M. J., Ostrom, A. L., & Meuter, M. L. (2002). Implementing successful self-service technologies. The Academy of Management Executive, 16(4), pp. 96-108.
  3. Chen, B. S. (2008). The combination of pre-study reading, peer assessment and IRS - take “school administration” classroom teaching as an example. School administration, 58, 150-180.
  4. Desmond, K. (2004). Mobile learning: the next generation of learning. Working Paper on the 18th Annual Meeting of the Association of Open Universities of Asia.
  5. Dewey, J. (1959). Democracy and education. New York: The macmillan.
  6. Engeström, Y. (1987). Learning by expanding: An activity-theoretical approach to developmental research. Helsinki: Iruebta-Konsultit. Retrieved November 26, 2018, from
  7. Fu, J. S. (2013). ICT in education: A critical literature review and its implications. International Journal of Education and Development using Information and Communication Technology, 9(1), pp. 112-125.
  8. Hasan, H., & Gould, E. (2001). Support for the sense-making activity of managers. Decisions Support System, 31(1), pp. 71-86.
  9. Huang Y. F. and Zhu. Y. M. (2013). The impact of the source of knowledge on the students' hands-on activity learning. Journal of Industrial Science and Technology Education, (6), 45-56.
  10. Isssroff, K., & Scanlon, E. (2002). Using technology in Higher Education: an Activity Theory perspective. Journal of Computer Assisted Learning, 18(1), pp. 77-83.
  11. Jonassen, D. H. (2000. Revisiting activity theory as a framework for designing student-centered learning environments. Theoretical foundations of learning environments (pp. 89-121). Mahwah, NJ: Lawrence Erlbaum Associations.
  12. Kaganer, E., Giordano, G. A., Brion, S., & Tortoriello, M. (2013). Media tablets for mobile learning. Communications of the ACM, 56(11), 68-75.
  13. Khan, A. N., Mat Kiah, M. L., Khan, S. U., & Madani, S. A. (2012). Towards secure mobile cloud computing: A survey. Future Generation Computer Systems, 29, 1278-1299.
  14. Lin, C. Y. and Yao, J. Z. (2017). The Cloud Action Learning app is integrated into the hands-on course: Take the hand throwing machine as an example. Science and Technology and Humanities Education, 3(4), 1-13.
  15. Liu, Z. J. (2006). Information Technology and Innovation Teaching Assessment. 2006 Taipei Global Chinese Information Education Innovation Forum.
  16. Naidu V.R., Bhat A.Z., Singh B. (2019) Cloud Concept for Implementing Multimedia Based Learning in Higher Education. In: Al-Masri A., Curran K. (eds) Smart Technologies and Innovation for a Sustainable Future. Advances in Science, Technology & Innovation (IEREK Interdisciplinary Series for Sustainable Development). Springer, Cham.
  17. Nardi, B. A. (1996). Studying context: A comparison of activity theory, situated action models, and distributed cognition. Context and consciousness: Activity theory and human-computer interaction, pp. 69-102.
  18. Pajo, K., & Wallace, C. (2007). Barriers to the uptake of web-based technology by university teacher. International Journal of E-Learning & Distance Education, 16(1), pp. 70-84.
  19. Roca, J. C., Chiu, C. M., & Martñez, F. J. (2006). Understanding e-learning continuance intention: An extension of the Technology Acceptance Model. International Journal of Human-Computer Studies, 64(8), pp. 683-696.
  20. Tezci, E. (2011). Factors that influence pre-service teachers’ ICT usage in education. European Journal of Teacher Education, 34(4), pp. 483-499.
  21. The teacher uses the ZUVIO GPS location, 2018/10/04 taken from the teacher development group
  22. Tondeur, J., Van Keer, H., van Braak, J., & Valcke, M. (2008). ICT integration in the classroom: Challenging the potential of a school policy. Computer & Education, 51(1), pp. 212-223.
  23. University teaching excellence program of Ministry of Education, 2018/10/22 taken from
  24. Wang, M., & Ng, J. W. P. (2012). Intelligent mobile cloud education: smart anytime-anywhere learning for the next generation campus environment. Paper presented at the Intelligent Environments (IE), 2012 8th International Conference on Mexico.
  25. Wang, M., Chen, Y. and Khan, M. J. (2014). Mobile cloud learning for higher education: a case study of Moodle in the cloud. The International Review of Research in Open and Distance Learning, 15(2), 255-266.
  26. Wang, M., Chen, Y., & Khan, M. J. (2014). Mobile cloud learning for higher education: A case study of Moodle in the cloud. The International Review of Research in Open and Distributed Learning, 15(2).
  27. Zuvio IRS Cloud Instant Interactive System, 2018/10/22 taken from

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International Journal of Sciences is Open Access Journal.
This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Author(s) retain the copyrights of this article, though, publication rights are with Alkhaer Publications.

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