Predicting Student Dropout in a MOOC-Reference-Cited by-同舟云学术

Predicting Student Dropout in a MOOC

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence - ICCAI '19
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Author:

Imran Ali Shariq¹,Dalipi Fisnik²,Kastrati Zenun³

Affiliation:

1. Dept. of Electronic Systems, Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

2. University of South-Eastern Norway, Hønefoss, Norway

3. Dept. of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden

Publisher

ACM Press

Reference20 articles.

1. J. Bradley, J. Barbier, and D. Handler, "Embracing the internet of everything to capture your share of $14.4 trillion," White Paper, Cisco, 2013.

2. F. Dalipi, A. Kurti, K. Zdravkova, and L. Ahmedi, "Rethinking the conventional learning paradigm towards MOOC based flipped classroom learning," in 16th International Conference on Information Technology Based Higher Education and Training (ITHET), pp. 1--6, IEEE, 2017.

3. A. S. Imran, K. Pireva, F. Dalipi, and Z. Kastrati, "An analysis of social collaboration and networking tools in elearning," in International Conference on Learning and Collaboration Technologies, pp. 332--343, Springer, 2016. S. Zheng, K. Han, M. B. Rosson, and J. M. Carroll, "The role of social media in MOOCs: How to use social media to enhance student retention," in Proceedings of the 3rd ACM Conference on Learning@ Scale, pp. 419--428, ACM, 2016.

4. F. Dalipi, S. Y. Yayilgan, A. S. Imran, and Z. Kastrati, "Towards understanding the MOOC trend: pedagogical challenges and business opportunities," in International Conference on Learning and Collaboration Technologies, pp. 281--291, Springer, 2016.

5. F. Dalipi, A. S. Imran, and Z. Kastrati, "MOOC dropout prediction using machine learning techniques: review and research challenges," in Global Engineering Education Conference (EDUCON), pp. 1007--1014, IEEE, 2018.

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