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Paper Abstract and Keywords
Presentation 2022-03-08 14:25
Automatic Hint Recommendation Method Using Extraction of Strategy Structure in Source Codes for Programming Exercises
Yuto Shimazaki, Erina Makihara, Rei Wakamatsu, Keiko Ono (Doshisha Univ.) SS2021-65
Abstract (in Japanese) (See Japanese page) 
(in English) When teachers and TAs give hints to learners in programming exercises, it is desirable to give advice that takes into account the coding tendency of each learner. However, it is not easy to immediately grasp the whole source code written by the learner. Therefore, in this study, we focused on strategy statements that make it easy to visually recognize the learner's coding tendency as an index of hints. As a result of experimenting on the relationship between strategy statements and hints, it was found that the number of lines and depth in the source code are indicators of hints. Then, we proposed a method to dynamically generate hints according to the learner from the strategy sentence, and verified its effectiveness. As a result of the evaluation experiment, After presenting hints, the learner's progress could be improved by giving the subject an answer policy.
Keyword (in Japanese) (See Japanese page) 
(in English) Programming education / Automatic Hint Recommendation / Strategy structure / Strategy statement depth / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 416, SS2021-65, pp. 139-144, March 2022.
Paper # SS2021-65 
Date of Issue 2022-02-28 (SS) 
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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF SS2021-65

Conference Information
Committee SS  
Conference Date 2022-03-07 - 2022-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Software Science etc. 
Paper Information
Registration To SS 
Conference Code 2022-03-SS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic Hint Recommendation Method Using Extraction of Strategy Structure in Source Codes for Programming Exercises 
Sub Title (in English)  
Keyword(1) Programming education  
Keyword(2) Automatic Hint Recommendation  
Keyword(3) Strategy structure  
Keyword(4) Strategy statement depth  
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1st Author's Name Yuto Shimazaki  
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 Rei Wakamatsu  
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 2022-03-08 14:25:00 
Presentation Time 25 minutes 
Registration for SS 
Paper # SS2021-65 
Volume (vol) vol.121 
Number (no) no.416 
Page pp.139-144 
#Pages 6 
Date of Issue 2022-02-28 (SS) 

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