Evaluating MOOCs According to Instructional Design Principles

Volume: 2 Number: 2 June 1, 2017
EN

Evaluating MOOCs According to Instructional Design Principles

Abstract

The aim of this study was to evaluate the massive open online courses that gains popularity day by day in terms of the properties which learning environments should have. For this purpose, six courses, which were selected from a MOOCs platform called Udemy, were evaluated. The evaluation was carried out according to the online learning environment evaluation form, developed by the researchers. The evaluation form was created by reviewing the literature and taking expert opinions. The results of the study showed that all investigated courses met the overall criteria and paid courses had no advantage over free courses. In addition to many advantages of the courses, there were some limitations as inability to provide feedback on a regular basis by the instructor to students, to be accessible for physically disadvantaged persons, to provide opportunities for resource sharing among students, automatically provide personalized learning options to users and to provide the contact information of other students.RECEIVED 20 March 2017, REVISED 5 May 2017, ACCEPTED 8 May 2017

Keywords

References

  1. Ahn, B. (2012). General satisfaction of students in 100% online courses in the Department of Learning Technologies at The University of North Texas. Doctoral Dissertation, University of North Texas, Texas.
  2. Ally, M. (2008). Foundations of educational theory for online learning. Terry Anderson (Ed.), In The theory and practice of online learning (pp. 15-45). Canada: Athabasca University Press.
  3. Bailey, J., Schneider, C., & Vander Ark, T. (2013). Navigating the digital shift: implementation strategies for blended and online learning. Digital Learning Now!
  4. Bangert, A. W. (2004). The seven principles of good practice: A framework for evaluating on-line teaching. The Internet and Higher Education, 7(3), 217-232.
  5. Bangert, A. W. (2008). The development and validation of the student evaluation of online teaching effectiveness. Computers in the Schools, 25(1-2), 25-47.
  6. Barnard, L., Lan, W. Y., To, Y. M., Paton, V. O., & Lai, S. L. (2009). Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 12(1), 1-6.
  7. Chang, S. C., & Tung, F. C. (2008). An empirical investigation of students' behavioural intentions to use the online learning course websites. British Journal of Educational Technology, 39(1), 71-83.
  8. Chen, P. S. D., Lambert, A. D., & Guidry, K. R. (2010). Engaging online learners: The impact of Web-based learning technology on college student engagement. Computers & Education, 54(4), 1222-1232.

Details

Primary Language

English

Subjects

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Journal Section

-

Authors

Ayse Bağrıaçık Yılmaz This is me

Hasan Çakır This is me

Publication Date

June 1, 2017

Submission Date

-

Acceptance Date

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Published in Issue

Year 1970 Volume: 2 Number: 2

APA
Bağrıaçık Yılmaz, A., Ünal, M., & Çakır, H. (2017). Evaluating MOOCs According to Instructional Design Principles. Journal of Learning and Teaching in Digital Age, 2(2), 26-35. https://izlik.org/JA97MW29UX

Journal of Learning and Teaching in Digital Age 2023. This is an Open Access journal distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. 19195

Journal of Learning and Teaching in Digital Age. Open Access Journal, 2023. ISSN:2458-8350