Name
Abstract | ||
|---|---|---|
Through this study, we aim to examine a method for data integration in shared Learning Management System (LMS) in authentication federation. We proposed a method of transmitting ePTID and learning data with user's consent as a method for data integration across institutions. The method is compared with the other existing methods to realize the shared LMS. We discuss the suitable method for next version of GakuNinMoodle and conclude that our requirements are not fully satisfied by a single method. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of KES International. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.procs.2019.09.343 | Procedia Computer Science |
Keywords | Field | DocType |
data integration,LMS,Moodle,Shibboleth,ePTID | Data integration,Authentication,Learning Management,Computer science,Shibboleth,Artificial intelligence,Multimedia,Machine learning | Conference |
Volume | ISSN | Citations |
159 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nobukuni Hamamoto | 1 | 0 | 0.68 |
| Horoshi Ueda | 2 | 3 | 3.25 |
| Masako Furukawa | 3 | 0 | 0.34 |
| Motonori Nakamura | 4 | 119 | 30.15 |
| Takeshi Nishimura | 5 | 0 | 0.34 |
| Shigetoshi Yokoyama | 6 | 0 | 0.68 |
| Kazutsuna Yamaji | 7 | 29 | 13.88 |