Name
Abstract | ||
|---|---|---|
In intelligent tutoring systems (ITS), creating large amounts of educational content requires a large-scale and multi-domain knowledge base. However, most knowledge bases for ITSs are still manually developed. Aiming at reducing the cost of developing educational contents, this study proposes a method to generate multiple-choice history quizzes using Wikipedia articles. We also propose a method for assigning an importance measure to each relevant article based on hierarchical categories and the number of incoming links to the article. This is indispensable in generating quizzes that test basic knowledge of history. Finally, the results of evaluating these methods show that the proposed methods are useful in automatically creating quizzes for history exercise. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-20609-7_32 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
ITS,Quiz generation,Wikipedia,History education | World Wide Web,Computer science,Knowledge base,History education,Multimedia,Educational content | Conference |
Volume | ISSN | Citations |
9192 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshihiro Tamura | 1 | 1 | 0.37 |
| Yutaka Takase | 2 | 19 | 6.26 |
| Yuki Hayashi | 3 | 38 | 11.12 |
| Yukiko Nakano | 4 | 501 | 62.37 |