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Paper Abstract and Keywords
Presentation 2016-06-11 13:00
Time Series Cross Section tables to monitor the course materials page views -- Development of Excel macro for Time Series Cross Section analysis --
Konomu Dobashi (Aichi Univ.) ET2016-12
Abstract (in Japanese) (See Japanese page) 
(in English) To enable teachers to monitor student engagement and improve classroom instruction, a data mining method and an Excel macro are developed in this work. The data mining method is based on a Time Series Cross Section (TSCS) framework and designed for application to students’ page views of course materials that are created using Moodle logs. The Excel macro generates the TSCS tables of students’ page views. The table, which displays data collected over time, reflects the extent of student engagement as numerical values. Furthermore, the numerical data provided by the table can be used to distinguish between learners who access the materials without following instructions and those who exhibit a delay in accessing the materials. A case study reveals that students exhibit different page view behaviors for different course materials.
Keyword (in Japanese) (See Japanese page) 
(in English) time series / cross section / page views / student engagement / educational data mining / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 85, ET2016-12, pp. 25-30, June 2016.
Paper # ET2016-12 
Date of Issue 2016-06-04 (ET) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF ET2016-12

Conference Information
Committee ET  
Conference Date 2016-06-11 - 2016-06-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Programming Education, etc. 
Paper Information
Registration To ET 
Conference Code 2016-06-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Time Series Cross Section tables to monitor the course materials page views 
Sub Title (in English) Development of Excel macro for Time Series Cross Section analysis 
Keyword(1) time series  
Keyword(2) cross section  
Keyword(3) page views  
Keyword(4) student engagement  
Keyword(5) educational data mining  
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1st Author's Name Konomu Dobashi  
1st Author's Affiliation Aichi University (Aichi Univ.)
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Speaker Author-1 
Date Time 2016-06-11 13:00:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2016-12 
Volume (vol) vol.116 
Number (no) no.85 
Page pp.25-30 
#Pages 6 
Date of Issue 2016-06-04 (ET) 

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