Abstract
With the rapid growth of massive online open courses (MOOCs) on the Web, it is essential to provide learners with appropriate assistance in courses and learning materials. The extant approaches of personalized course search mainly consider historical learnt and enrolled courses of learners. That is, those courses which are contently similar to previous courses in learner profiles will be highlighted in the ranking results of the personalized course search. However, these approaches mainly neglect two distinguished characteristics in this domain, which are (i) context-dependent: course search which is highly correlated with learner contexts, e.g., a learner may have the individual learning schedule of the courses to be retrieved depending on the temporal contexts; and (ii) knowledge-constrained: learners are more willing to search and enroll in the courses that they have sufficient pre-knowledge about. To incorporate these two domain characteristics of the personalized course search, we therefore present a novel approach based on hybrid learner profile in this paper. Furthermore, we conduct the experiments which compare the performance of different methods on a dataset to verify the effectiveness of the proposed method for the personalized course search.
Original language | English |
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Title of host publication | Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015 |
Editors | Yu-Ju Lan, Hsin-Yih Shyu, Chengjiu Yin, Hiroaki Ogata, Wenli Chen, Ming-Fong Jan, Sahana Murthy, Ying-Tien Wu, Siu Cheung Kong, Xiaoqing Gu, Beaumie Kim, Yongwu Miao, Niwat Srisawasdi, Yuping Wang, Chiu-Pin Lin, Carol H.C. Chu, Jari Laru, Miguel Nussbaum, Ma. Mercedes T. Rodrigo, Ju-Ling Shih, Amali Weerasinghe, Weiqin Chen, Feiyue Qiu, Vania Dimitrova, Ching-Kun Hsu, Lung-Hsiang Wong, Maiga Chang, Tore Hoel, Yen-Hui Audrey Li, Jon Mason, Hitoshi Sasaki, Li Zhang |
Publisher | Asia-Pacific Society for Computers in Education |
Pages | 62-67 |
Number of pages | 6 |
ISBN (Electronic) | 9784990801458 |
Publication status | Published - 1 Jan 2015 |
Externally published | Yes |
Event | 23rd International Conference on Computers in Education, ICCE 2015 - Hangzhou, China Duration: 30 Nov 2015 → 4 Dec 2015 |
Publication series
Name | Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015 |
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Conference
Conference | 23rd International Conference on Computers in Education, ICCE 2015 |
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Country/Territory | China |
City | Hangzhou |
Period | 30/11/15 → 4/12/15 |
Funding
The work described in this paper was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (UGC/FDS11/E06/14).
Keywords
- Context-aware
- E-learning
- Learner profile
- MOOCs
- Personalized course search