About this paper

Appears in:
Pages: 1249-1257
Publication year: 2015
ISBN: 978-84-606-5763-7
ISSN: 2340-1079

Conference name: 9th International Technology, Education and Development Conference
Dates: 2-4 March, 2015
Location: Madrid, Spain

COLLABORATIVE FILTERING RECOMMENDATION SYSTEM: A FRAMEWORK IN MASSIVE OPEN ONLINE COURSES

D.F.O. Onah, J.E. Sinclair

The University of Warwick (UNITED KINGDOM)
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.
@InProceedings{ONAH2015COL,
author = {Onah, D.F.O. and Sinclair, J.E.},
title = {COLLABORATIVE FILTERING RECOMMENDATION SYSTEM: A FRAMEWORK IN MASSIVE OPEN ONLINE COURSES},
series = {9th International Technology, Education and Development Conference},
booktitle = {INTED2015 Proceedings},
isbn = {978-84-606-5763-7},
issn = {2340-1079},
publisher = {IATED},
location = {Madrid, Spain},
month = {2-4 March, 2015},
year = {2015},
pages = {1249-1257}}
TY - CONF
AU - D.F.O. Onah AU - J.E. Sinclair
TI - COLLABORATIVE FILTERING RECOMMENDATION SYSTEM: A FRAMEWORK IN MASSIVE OPEN ONLINE COURSES
SN - 978-84-606-5763-7/2340-1079
PY - 2015
Y1 - 2-4 March, 2015
CI - Madrid, Spain
JO - 9th International Technology, Education and Development Conference
JA - INTED2015 Proceedings
SP - 1249
EP - 1257
ER -
D.F.O. Onah, J.E. Sinclair (2015) COLLABORATIVE FILTERING RECOMMENDATION SYSTEM: A FRAMEWORK IN MASSIVE OPEN ONLINE COURSES, INTED2015 Proceedings, pp. 1249-1257.
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