Name
Abstract | ||
|---|---|---|
Computer Mediated Courseware (CMC) has been developed so far for individual
courses considering single or multiple text books. A group of courseware can be
developed by using multiple text books and in this case, it is a requirement to
cluster the contents of different books to form a generalized clustered
content. No work has been found to develop courseware applying generalized
clustered content. We have proposed a clustering of content supporting computer
mediated courseware development based on data mining techniques to construct a
hierarchical general structure of a group of courseware combining the
individual structure of a set of books. The clustering will help the courseware
developer to dynamically allocate contents to develop different courses using a
group of books. The authors have applied this methodology for different level
of courses on database. The methodology is generalized and can be applied to
any other courses. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ITICT.2009.5405928 | international conference on communications |
Keywords | Field | DocType |
courseware,data mining,clustering,computer mediated courseware development,multiple text books,proximity,true positive | Computer science,Cluster analysis,Multimedia | Journal |
Volume | ISSN | ISBN |
abs/1004.4 | Journal of Telecommunications, Volume 2, Issue 1, p30-35, April
2010 | 978-1-4244-6018-2 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. M. M. Bashir | 1 | 0 | 0.34 |
| M. J. Hossain | 2 | 0 | 0.34 |
| M. R. Karim | 3 | 0 | 0.34 |