Development of a Robust Course Evaluation System that Prevents Individual Information Leakage by Employing Input Data Analysis
| Project/Area Number |
23650526
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Educational technology
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| Research Institution | Gunma University |
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Principal Investigator |
IWAI Atsushi 群馬大学, 社会情報学部, 准教授 (60293081)
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 個人情報漏洩 / 授業評価システム / 匿名性 / 授業評価 / 教育支援システム |
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| Research Abstract |
Although conventional electronic systems for course evaluation offer various levels of privacy protection, patterns in the input data itself can accidentally lead to leakage of personal information. This type of risk of accidental leakage of personal information also exists in larger scale surveys, as cross tabulation of personal attribution data such as gender, age or major may yield particular cells where only small numbers of respondents are classified. This research demonstrated a new design for survey systems that can automatically prevent this type of unintended information leakage. The basic design consists of a framework which analyzes the input data to find elements that can lead to information leakage and a mechanism to correct such flaws by modifying the information of the questionnaire design in the database.
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Report
(3 results)
Research Products
(14 results)
