This paper aims at developing an intelligent E-learning system incorporated with data mining technique, namely, Social SEarch for E-leaning (SE)^2, for supporting students to access quality Web resources. One characteristic of (SE)^2 is that it is designed based on social bookmarking, in which users can describe the Web resource using meaningful tags. Another characteristic of (SE)^2 is that data mining techniques are employed to automatically analysis the information of users, tags, and Web resources to recommend students Web resources that are potentially useful and relevant.
|Publication status||Published - 2012|
|Event||The 16th Global Chinese Conference on Computers in Education (GCCCE 2012): "Global Community, Cloud Computing" - Tainan University, Taiwan, Province of China|
Duration: 28 May 2012 → 01 Jun 2012
|Conference||The 16th Global Chinese Conference on Computers in Education (GCCCE 2012): "Global Community, Cloud Computing"|
|Abbreviated title||GCCCE 2012|
|Country/Territory||Taiwan, Province of China|
|Period||28/05/12 → 01/06/12|
CitationWong, T.-L., & Kong, S. C. (2012, June). An intelligent social bookmarking system for searching quality web resources for e-learning. Paper presented at the (GCCCE 2012) Global Chinese Conference on Computers in Education: Global Community, cloud computing, National University of Tainan, Tainan, Taiwan.
- Web resource
- Collaborative learning
- Social bookmarking
- Data mining