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) |
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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) |
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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) |
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Keyword(1) |
Programming education |
Keyword(2) |
Biometric Information |
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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 |
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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 |
5 |
Date of Issue |
2021-02-26 (KBSE) |
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