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Paper Abstract and Keywords
Presentation 2021-03-06 09:10
An Attempt to Estimate Learners’ States during Programming Using Biometric Information
Ryota Shinhama, Erina Makihara, Syusaku Yasoda, Keiko Ono (Doshisha Univ.) KBSE2020-39
Abstract (in Japanese) (See Japanese page) 
(in English) In order to develop IT human resources, higher education institutions are offering classes that include programming exercises.
However, since the ratio of teachers and TAs to learners is small, it is difficult for teachers to quickly respond to
learners who are stumbling.
In this study, we aim to estimate the learner's state by focusing on biometric information and programming behavior in the learner's activity log.
By being able to estimate the learner's state, teachers will be able to quickly detect learners who are stumbling and provide them with guidance.
For this purpose, we obtained LF/HF and the number of blinks as biometric information and investigated the relationship with stumbling.
In addition, we obtained file modification history and compilation history as programming behaviors, and investigated the relationship between them and biometric information in the stumbling state.
The results showed that LF/HF and the number of blinks tended to increase in some stumbling conditions.
Furthermore, when there was no progress during the coding, the LF/HF fluctuated more in a short period of time and the number of blinks increased.
These results indicate that biometric data and programming behavior are useful as indicators to estimate the learner's state during programming.
Based on the findings in this study, if it is possible to estimate the learner's state from biometric data and programming behavior, the burden on teachers will reduce and learning efficiency will improve.
Keyword (in Japanese) (See Japanese page) 
(in English) Programming education / Biometric Information / Programming behavior / Assessing learning conditions / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 423, KBSE2020-39, pp. 31-35, March 2021.
Paper # KBSE2020-39 
Date of Issue 2021-02-26 (KBSE) 
ISSN 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 KBSE2020-39

Conference Information
Committee KBSE  
Conference Date 2021-03-05 - 2021-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To KBSE 
Conference Code 2021-03-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Attempt to Estimate Learners’ States during Programming Using Biometric Information 
Sub Title (in English)  
Keyword(1) Programming education  
Keyword(2) Biometric Information  
Keyword(3) Programming behavior  
Keyword(4) Assessing learning conditions  
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1st Author's Name Ryota Shinhama  
1st Author's Affiliation Doshisha University (Doshisha Univ.)
2nd Author's Name Erina Makihara  
2nd Author's Affiliation Doshisha University (Doshisha Univ.)
3rd Author's Name Syusaku Yasoda  
3rd Author's Affiliation Doshisha University (Doshisha Univ.)
4th Author's Name Keiko Ono  
4th Author's Affiliation Doshisha University (Doshisha Univ.)
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Speaker Author-1 
Date Time 2021-03-06 09:10:00 
Presentation Time 30 minutes 
Registration for KBSE 
Paper # KBSE2020-39 
Volume (vol) vol.120 
Number (no) no.423 
Page pp.31-35 
#Pages
Date of Issue 2021-02-26 (KBSE) 


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