DEVELOPMENT AND EVALUATION OF ONLINE DISCUSSION ACTIVITY SUPPORTING LEARNING ANALYTICS DASHBOARDS

Authors
  • Mohamm Farhana Siddique

    Professor, Institute of Education and Research, University of Dhaka

    Author

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Abstract

Learning Analytics (LA) is a rapidly evolving field that involves the use of data to inform and enhance learning and teaching activities. One important application of LA is to support online discussion activities, which are a key component of many online courses. Learning Analytics dashboards are graphical user interfaces that present data to instructors and learners, providing insights into online discussion activities. This paper describes the development and evaluation of two Learning Analytics dashboards designed to support online discussion activities in a higher education context. The first dashboard focuses on providing instructors with insights into the quality of online discussion and the second dashboard provides learners with feedback on their contributions to online discussions. The evaluation of the dashboards involved a usability study with 12 instructors and 23 students. The results suggest that the dashboards are useful tools for supporting online discussion activities and that they can improve both the teaching and learning experiences in online courses.

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References

1. Siemens, G., & Long, P. (2011). Penetrating the fog: Analytics in learning and education. EDUCAUSE review, 46(5), 31-40.

2. Dawson, S., & Siemens, G. (2014). The role of analytics in supporting teaching and learning. In J. M. Spector, M. D. Merrill, J. Elen, & M. J. Bishop (Eds.), Handbook of research on educational communications and technology (pp. 503-514). Springer.

3. Cho, K., & Schunn, C. D. (2017). Learning analytics for online discussions: A pedagogical model for intervention with embedded and extracted analytics. Educational Technology Research and Development, 65(1), 213-239.

4. Pardo, A., & Siemens, G. (2014). Ethical and privacy principles for learning analytics. British Journal of Educational Technology, 45(3), 438-450.

5. Khalil, H., & Ebner, M. (2014). Learning analytics: Principles and constraints. Journal of Educational Technology & Society, 17(2), 149-158.

6. Knight, S., & Littleton, K. (2015). Learning analytics at the intersection of data and theory: Using social network analysis to understand discourse in a networked learning environment. Journal of Learning Analytics, 2(1), 43-67.

7. Romero, C., & Ventura, S. (2010). Educational data mining: A review of the state of the art. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, 40(6), 601-618.

8. Huang, Y. M., Liang, T. H., Su, Y. N., & Chen, C. Y. (2017). Analysis of learning effectiveness and learning behavior in a flipped classroom environment. Journal of Educational Technology & Society, 20(1), 237-248.

9. Shum, S. B., Ferguson, R., & Weal, M. J. (2015). Learning analytics for curriculum development. British Journal of Educational Technology, 46(2), 178-192.

10. Dyckhoff, A. L., Lukarov, V., Muslim, A., & Chatti, M. A. (2012). Supporting action research with learning analytics. American Journal of Distance Education, 26(2), 139-151.

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Published
2022-12-10
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Copyright (c) 2022 Mohamm Farhana Siddique (Author)

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How to Cite

Mohamm Farhana Siddique. (2022). DEVELOPMENT AND EVALUATION OF ONLINE DISCUSSION ACTIVITY SUPPORTING LEARNING ANALYTICS DASHBOARDS. IFSMRC African International Journal of Research in Management, 10(12), 1-4. https://ifsmrc.org/index.php/aijrm/article/view/3

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