TY - GEN
T1 - A rule-based recommender system to suggest learning tasks
AU - Imran, Hazra
AU - Belghis-Zadeh, Mohammad
AU - Chang, Ting Wen
AU - Kinshuk,
AU - Graf, Sabine
N1 - Funding Information:
The authors acknowledge the support of Mitacs, Athabasca University, NSERC, iCORE, Xerox, and the research related gift funding by Mr. A. Markin.
PY - 2014
Y1 - 2014
N2 - Learner-centered learning can be defined as an approach to learning in which learners choose the topic to study and learning tasks. Because of available choices, learners can find it difficult to make a decision about which of the topics/tasks would be more appropriate for them. Identifying other learners with similar characteristics and then considering the tasks that worked well, makes it possible to suggest appropriate tasks to a learner. Based on this concept, we introduce a rule-based recommender system that supports learner-centered learning and helps learners to select learning tasks that are most suitable for them, with the focus on maximizing their learning.
AB - Learner-centered learning can be defined as an approach to learning in which learners choose the topic to study and learning tasks. Because of available choices, learners can find it difficult to make a decision about which of the topics/tasks would be more appropriate for them. Identifying other learners with similar characteristics and then considering the tasks that worked well, makes it possible to suggest appropriate tasks to a learner. Based on this concept, we introduce a rule-based recommender system that supports learner-centered learning and helps learners to select learning tasks that are most suitable for them, with the focus on maximizing their learning.
KW - Learning Management Systems
KW - Personalization
KW - Recommender System
UR - http://www.scopus.com/inward/record.url?scp=84958551933&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-07221-0_102
DO - 10.1007/978-3-319-07221-0_102
M3 - Published Conference contribution
AN - SCOPUS:84958551933
SN - 9783319072203
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 672
EP - 673
BT - Intelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings
T2 - 12th International Conference on Intelligent Tutoring Systems, ITS 2014
Y2 - 5 June 2014 through 9 June 2014
ER -