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Abstract
The contribution presents a reflection on the relationship between the use of assessment tools and the two-sided phenomenon of the completion rate and dropout rate in MOOCs. In support of this reflection, the experience of the MOOCs proposed by the University of Modena and Reggio Emilia (UNIMORE) within the EduOpen network is described. In particular, the data relating to the quantity and quality of the assessment tools used in the MOOCs UNIMORE and the data on the completion rates of the 5 pathways currently active in the training offer on EduOpen and, specifically, of a MOOC with a complex evaluation system and particularly high completion rates are reported.
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References
- Breslow, L. B., Pritchard, D. E., DeBoer, J., Stump, G. S., Ho, A. D., & Seaton, D. T. (2013). Studying learning in the worldwide classroom: Research into edX’s first MOOC. Research & Practice in Assessment (8), 13–25
- Costello E., Holland J., Kirwan C, (2018), The future of online testing and assessment: question quality in MOOCs, International Journal of Educational Technology in Higher Education, 15:42
- Halawa, S.; Greene, D.; and Mitchell, J. (2014). Dropout prediction in moocs using learner activity features. Experiences and best practices in and around MOOCs. Proceedings of the European MOOCs Stakeholders Summit 2014, 58-65.
- Onah D.; Sinclair J.; Boyatt R.; Foss J. (2014), Massive Open Online Courses: Learners Partecipation, Proceeding of the 7th International Conference of Education, Research and Innovation (iCERI2014), Seville, Spain.
- Kizilcec, R. F.; Piech, C.; and Schneider, E. 2013. Deconstructing disengagement: Analyzing learner subpopulations in massive open online courses. In Proceedings of the Third International Conference on Learning Analytics and Knowledge, 170–179.
- Qi, Y.;Wu, Q.;Wang, H.; Tang, J.; and Sun, M. 2018. Bandit learning with implicit feedback. In NIPS 2018.
- Seaton, D. T.; Bergner, Y.; Chuang, I.; Mitros, P.; and Pritchard, D. E. 2014. Who does what in a massive open online course? Communications of the Acm 58–65.
- Zhenghao, C.; Alcorn, B.; Christensen, G.; Eriksson, N.; Koller, D.; and Emanuel, E. 2015. Whos benefiting from moocs, and why. Harvard Business Review 25.