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2017 Fiscal Year Final Research Report

A Study on Learning Analytics focusing on Feedback for New On-Demand Educational Practice

Research Project

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Project/Area Number 15K01094
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Educational technology
Research InstitutionHosei University

Principal Investigator

KODAMA Yasushi  法政大学, 経営学部, 教授 (30266910)

Co-Investigator(Kenkyū-buntansha) 寺脇 由紀  法政大学, 経営学部, 講師 (30559365)
Project Period (FY) 2015-04-01 – 2018-03-31
KeywordsMOOCs / 学習データ解析 / フィードバック / 機械学習
Outline of Final Research Achievements

With the growing interest in recent on-demand education, research topics about not only delivering the lectures but also learning analytics for the lectures have been increased for feedback from teachers to learners. We started to research for learning analytics for our own online courses using statistical analysis method and performed large scale learning analytics using machine learning and deep learning on large scale learning data. We have been able to predict students' performance with high accuracy. Furthermore, we frequently discussed with overseas researchers in this field. We always do research incorporating with the newest technology. We will continue to do these researches.

Free Research Field

教育工学

URL: 

Published: 2019-03-29  

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