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Collaborative filtering recommendation system : a framework in massive open online courses
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Onah, Daniel F. O. and Sinclair, Jane (2015) Collaborative filtering recommendation system : a framework in massive open online courses. In: 9th International Technology, Education and Development Conference, Madrid, Spain, 2-4 Mar 2015. Published in: INTED2015 Proceedings pp. 1249-1257. ISBN 9788460657637. ISSN 2340-1079.
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Official URL: http://library.iated.org/view/ONAH2015COL
Abstract
Massive open online courses (MOOCs) are growing relatively rapidly in the education environment. There is a need for MOOCs to move away from its one-size-fit-all mode. This framework will introduce an algorithm based recommendation system, which will use a collaborative filtering method (CFM). Collaborative filtering method (CFM) is the process of evaluating several items through the rating choices of the participants. Recommendation system is widely becoming popular in online study activities; we want to investigate its support to learning and encouragement to more effective participation. This research will be reviewing existing literature on recommender systems for online learning and its support to learners’ experiences. Our proposed recommendation system will be based on course components rating. The idea was for learners to rate the course and components they have studied in the platform between the scales of 1 – 5. After the rating, we then extract the values into a comma separated values (CSV) file then implement recommendation using Python programming based on learners with similar rating patterns. The aim was to recommend courses to different users in a text editor mode using Python programming. Collaborative filtering will act upon similar rating patterns to recommend courses to different learners, so as to enhance their learning experience and enthusiasm.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | L Education > LC Special aspects of education | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | MOOCs (Web-based instruction), Distance education, Educational technology, Web-based instruction, Computer-assisted instruction | ||||||
Journal or Publication Title: | INTED2015 Proceedings | ||||||
Publisher: | IATED | ||||||
ISBN: | 9788460657637 | ||||||
ISSN: | 2340-1079 | ||||||
Official Date: | 2015 | ||||||
Dates: |
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Page Range: | pp. 1249-1257 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 21 July 2016 | ||||||
Date of first compliant Open Access: | 21 July 2016 | ||||||
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 |
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