ラーニングアナリティクス: 授業確認テスト(LCT)の場合

URI http://harp.lib.hiroshima-u.ac.jp/it-hiroshima/metadata/12155
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Title
ラーニングアナリティクス: 授業確認テスト(LCT)の場合
Title Alternative
Learning Analytics: in the Case of Learning Check Testing, LCT
Author
氏名 廣瀬 英雄
ヨミ ヒロセ ヒデオ
別名 Hirose Hideo
Subject
Learning analytics
Online testing
Follow-up program system
Learning check testing
Item response theory
Coefficient of correlation
Abstract

In response to the extensive use of computer systems in learning, we are now in the age that we can do the learning analytics using the huge-size of database. We have recently established the follow-up program system (FP system) aimed at helping students who need basic learning and aimed at assisting teachers who have to engage in teaching a variety of educational students. The follow-up system consists of the learning check testing (LCT), follow-up program testing (FPT), and collaborative work testing (CWT). Since the FP system was first introduced, four months have passed, and we have accumulated the large scale of testing results. In the LCT we use the item response theory (IRT), which provides more accurate and fairer evaluations of individual abilities than classical test theory does, and thus the IRT has gradually been recognized as one of the proper evaluation methodologies in many testing fields. In this paper, we show the results of learning analytics focused on the LCT results. From the analytics, we have found that 1) five or six items are too small to evaluate the students' abilities, at least ten items are required, 2) although use of only one time testing results do not provide sufficient reliability to ability values, combination of multiple testing results provide ability values with a better reliability, which will give us a new measure to students' abilities, 3) the EMtype IRT worked in estimating the empty elements of item-user response matrix, 4) the learning analytics to LCT results showed us valuable information in leading us to a new direction.

Journal Title
広島工業大学紀要. 研究編
Volume
51
Spage
137
Epage
147
Published Date
2017-02
Publisher
広島工業大学
ISSN
1346-9975
NCID
AA11599110
Language
jpn
NIIType
Departmental Bulletin Paper
Text Version
出版社版
Set
it-hiroshima