The Library
Massive open online courses : an adaptive learning framework
Tools
Tools
Tools
Onah, Daniel F. O. and Sinclair, Jane (2015) Massive open online courses : an adaptive learning framework. In: 9th International Technology, Education and Development Conference, Madrid, Spain, 2-4 Mar 2015. Published in: INTED2015 Proceedings pp. 1258-1266. ISBN 9788460657637. ISSN 2340-1079.
|
PDF
WRAP_9770711-cs-300915-daniel_onah_inted2015.pdf - Accepted Version - Requires a PDF viewer. Download (1034Kb) | Preview |
Official URL: http://library.iated.org/view/ONAH2015MAS
Abstract
Diverse student needs present a challenge in online education. Massive Open Online Courses (MOOCs) attract many diverse learners, so there is need to tailor the course instruction to meet the students’ individual needs. This paper investigates an adaptive MOOC system from a personalised learning perspective. Firstly, we review existing literature on adaptive online learning systems, bringing together findings on the relationship to both effective learning support and motivation to study. Secondly, we outline a proposed framework, which tailors the recommendation of instructional material using the learner’s profile. In this model, the system can present the user with a suggested learning path to meet appropriate learning objectives. As the student progresses, further recommendations can be made with appropriate resources to enhance and develop the learner’s understanding of the previous topics. Adaptation and personalised recommendation have been noted as providing the means for an online system to replicate, in part, the function of a human tutor. However, there are drawbacks both in the limitations of providing the best recommendations and in the danger of users having little control over their own learning. Allowing learners to manage their learning by setting objectives and developing paths has been associated with encouraging effective learning skills, increasing collaboration and enhancing learning. Our framework therefore supports users in creating their own paths, allowing them to make informed choices about appropriate resources based on their expression of current objectives and preferences. The framework will be evaluated by adapting an existing MOOC, allowing comparison of a variety of aspects including choice of learning path, learner satisfaction and effect on attainment and drop-out rate.
| Item Type: | Conference Item (Paper) | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | L Education > LC Special aspects of education | ||||||
| Divisions: | Faculty of Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | MOOCs (Web-based instruction), Education, Higher -- Computer-assisted instruction, Open learning, Distance education | ||||||
| Journal or Publication Title: | INTED2015 Proceedings | ||||||
| Publisher: | IATED | ||||||
| ISBN: | 9788460657637 | ||||||
| ISSN: | 2340-1079 | ||||||
| Official Date: | 2015 | ||||||
| Dates: |
|
||||||
| Date of first compliant deposit: | 21 July 2016 | ||||||
| Page Range: | pp. 1258-1266 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Conference Paper Type: | Paper | ||||||
| Title of Event: | 9th International Technology, Education and Development Conference | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Madrid, Spain | ||||||
| Date(s) of Event: | 2-4 Mar 2015 |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
