Name
Abstract | ||
|---|---|---|
One of today’s hot topics in the field of education is the learning support system. With the progress of networks and multimedia technologies, various types of web-based training (WBT) systems are being developed for distance- and self-learning. Most of the current learning support systems synchronously reproduce lecture resources such as videos, slides, and digital-ink notes written by the teacher. However, from the perspective of support for student learning, these systems provide only keyword retrieval. This paper describes a more efficient learning support system that we developed by introducing lecture information and student arousal levels extracted from biological data. We also demonstrate the effectiveness of the proposed system through a preliminary experiment. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11893004_129 | KES (2) |
Keywords | Field | DocType |
support system,digital-ink note,lecture resource,student arousal level,student learning,biological data,proposed system,current learning support system,self-learning system,efficient learning support system,lecture information | Information system,Biological data,Learning support,Computer science,Knowledge engineering,Multimedia,The Internet,Student learning | Conference |
Volume | ISSN | ISBN |
4252 | 0302-9743 | 3-540-46537-5 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yurie Iribe | 1 | 38 | 14.77 |
| Shuji Shinohara | 2 | 5 | 3.91 |
| Kyoichi Matsuura | 3 | 0 | 0.34 |
| Kouichi Katsurada | 4 | 69 | 17.35 |
| Tsuneo Nitta | 5 | 144 | 34.35 |