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Durham Research Online
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MOOCs Paid Certification Prediction Using Students Discussion Forums

Alshehri, Mohammad and Cristea, Alexandra I. (2022) 'MOOCs Paid Certification Prediction Using Students Discussion Forums.', in Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. , pp. 542-545. Lecture Notes in Computer Science., 13356

Abstract

Massive Open Online Courses (MOOCs) have been suffering a very level of low course certification (less than 1% of the total number of enrolled students on a given online course opt to purchase its certificate), although MOOC platforms have been offering low-cost knowledge for both learners and content providers. While MOOCs discussion forums’ rich numeric and textual data are typically utilised to address many MOOCs challenges, e.g., high dropout rate, identifying intervention-needed learners, analysing learners’ forum discussion and interaction to predict certification remains limited. Thus, this paper investigates if MOOC discussion forum-based data can predict learners’ purchasing decisions (certification). We use a relatively large dataset of 23 runs of 5 FutureLearn MOOCs for temporal (weekly-based) prediction, achieving promising accuracies in this challenging task: 76% on average, across the five courses.

Item Type:Book chapter
Full text:Publisher-imposed embargo until 26 July 2023.
(AM) Accepted Manuscript
File format - PDF
(183Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1007/978-3-031-11647-6_111
Publisher statement:The final authenticated version is available online at https://doi.org/10.1007/978-3-031-11647-6_111
Date accepted:No date available
Date deposited:26 September 2022
Date of first online publication:26 July 2022
Date first made open access:26 July 2023

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