Collaborative filtering recommendation system : a framework in massive open online courses

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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)
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:
Date
Event
2015
Published
12 December 2014
Accepted
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
URI: https://wrap.warwick.ac.uk/72826/

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