Development and Evaluation of Student-Centered Enrollment System: Data-Assisted Advising Functions
| Project/Area Number |
16H03082
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Educational technology
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| Research Institution | Tokyo Metropolitan University |
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Principal Investigator |
MATSUDA Takeshi 首都大学東京, 大学教育センター, 教授 (90406835)
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| Co-Investigator(Kenkyū-buntansha) |
近藤 伸彦 首都大学東京, 大学教育センター, 准教授 (10534612)
重田 勝介 北海道大学, 情報基盤センター, 准教授 (40451900)
渡辺 雄貴 東京理科大学, 教育支援機構, 准教授 (50570090)
加藤 浩 放送大学, 教養学部, 教授 (80332146)
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2018: ¥5,720,000 (Direct Cost: ¥4,400,000、Indirect Cost: ¥1,320,000)
Fiscal Year 2017: ¥6,630,000 (Direct Cost: ¥5,100,000、Indirect Cost: ¥1,530,000)
Fiscal Year 2016: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
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| Keywords | 自己管理学習レディネス / 教学IR / 数理モデル / 科目選択支援 / 教学IRデータ / アカデミックな意志決定 / 教学ＩＲ / 教育工学 / 学生支援 / フェーディング |
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| Outline of Final Research Achievements |
This research addressed an online dashboard system developed for students who need useful information on registration for a course. The system deals with three major factors that contribute to the outcomes of students’ learning; the evaluation methods or grade calculation standards of a course, students’ self-directed learning readiness, or SDLR, and students’ learning goals. It analyzes the collected data and forming the recommendation model based on the student’s the self-directed learning readiness scale or SDLR and his or her choice of abilities.
Our system displays two lists of courses; one shows the degree of conformance between a student’s level of SDLR and the level that courses require and the other indicates the fitness of the ability that a student wants to earn and that the course might provide. Through our experience with the development of this system, some findings including data collection, statistical modeling, and the initial reaction of students were obtained.
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| Academic Significance and Societal Importance of the Research Achievements |
シラバスデータ，学生の自己管理学習レディネス尺度の値を基に，授業が求める自己管理学習と学生の現状とのマッチングをしたことに加え，学生自身が伸ばしたい能力と授業とのマッチングも試みた点が，従来の研究と比べた本研究の学術的な独自性である．
社会的には，経営判断を支援する役割を担ってきたInstitutional Research（IR）が，学生自身の科目選択に役立つ可能性を模索し，その新たな方向性を示した．
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Report
(4 results)
Research Products
(39 results)
