Adaptive Task Generation Method for Situation Judgement Skill Learning in Information Security
| Project/Area Number |
17K00479
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Learning support system
|
|---|
| Research Institution | Japan Advanced Institute of Science and Technology |
|---|
Principal Investigator |
Hasegawa Shinobu 北陸先端科学技術大学院大学, 情報社会基盤研究センター, 准教授 (30345665)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
BEURAN Razvan 北陸先端科学技術大学院大学, 先端科学技術研究科, 特任准教授 (40771788)
|
|---|
| Project Period (FY) |
2017-04-01 – 2020-03-31
|
| Project Status |
Completed (Fiscal Year 2019)
|
| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2017: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
|
|---|
| Keywords | 情報セキュリティリテラシ / 状況判断スキル / 適応的課題生成 / 学習管理システム / 意思決定スキル / 知的学習支援システム / 情報セキュリティ学習 |
|---|
| Outline of Final Research Achievements |
To realize effective information security education in the rapidly changing information society, we developed a learning support environment to improve the skills to situational judgment at the time of a security incident. Through this research, we first modeled situational judgment and its learning process as one of the cognitive skills. Then, we developed a plug-in module that allows easy deployment of the exercises to an open-source learning management system. Besides, we implemented adaptive task generation algorithms for adaptive training of the target skills based on learners' literacy level and status for situational judgment in a security incident context.
|
| Academic Significance and Societal Importance of the Research Achievements |
本研究は，状況判断や意思決定といった認知的スキルを演習の活動を通じて推定することを通じて，適応的な演習課題生成アルゴリズムを実現しようとするものであり，従来暗黙的に教育されてきた状況判断スキルを明示的に学習するための重要な基盤となるものである．また，演習課題を適応的に生成することで，特定のスキルを様々なコンテキストの下で集中的に学ぶことができる，より効果的な学習環境を実現することが期待される．
|
Report
(4 results)
Research Products
(12 results)
-
-
-
-
-
-
-
-
[Presentation] AI in EdTech/LearnTech2017
Author(s)
S. Hasegawa
Organizer
Keynote Speech, International Symposium on Materials and Electrical Engineering (ISMEE 2017), Nov. 2017, Indonesia.
Related Report
Int'l Joint Research / Invited
-
-
-
-
