Improving MOOCs experience using Learning Analytics and Intelligent Conversational Agent
Book chapter
Authors | Abdullah, T. and Sakr, A. |
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Editors | Caballé, S., Demetriadis, S., Gómez-Sánchez, E., Papadopoulos, P. and Weinberger, A. |
Abstract | Online learning has proved its effectiveness in the last few years among a wide range of learners. Massive Open Online Courses (MOOCs) have revolutionized the shape of learning because they are considered to be a substitutional tool to the conventional educational system for many reasons, such as flexibility in timing and eliminating the economic and geographical constraints to the learners. MOOCs also enable learners from different cultures to communicate and share their knowledge through forums. Nevertheless, MOOCs are encountering several challenges that are required to be addressed, such as the higher dropout rates among learners at different phases of the course, and reduction in participation level of learners. In this chapter, we aim to address the most familiar four challenges and enhance the MOOCs experience through providing a framework of integrating a Learning Analytics technique and Intelligent Conversational Agent (LAICA) to improve the MOOCs experience for learners and educators. |
Keywords | MOOC |
Page range | 47-70 |
Year | 2021 |
Book title | Intelligent Systems and Learning Data Analytics in Online Education |
Publisher | Academic Press |
Series | Intelligent Data-Centric Systems |
ISBN | 9780128234105 |
9780128231272 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/b978-0-12-823410-5.00010-3 |
Web address (URL) | http://dx.doi.org/10.1016/b978-0-12-823410-5.00010-3 |
Output status | Published |
Publication dates | Jul 2021 |
Publication process dates | |
Deposited | 29 Jun 2022 |
Journal | Intelligent Systems and Learning Data Analytics in Online Education |
https://repository.derby.ac.uk/item/976q4/improving-moocs-experience-using-learning-analytics-and-intelligent-conversational-agent
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