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Paper Abstract and Keywords
Presentation 2021-05-10 10:55
Extensions of Answer Analysis Function for Programming Learning Assistant System
Kazuki Nishimura, Koshiro Iwamoto, Htoo Htoo Sandi Kyaw, Nobuo Funabiki, Minoru Kuribayashi (Okayama Univ.) LOIS2021-2
Abstract (in Japanese) (See Japanese page) 
(in English) To support self-studies of students and reduce loads of teachers in programming educations, we have developed the Web-based Programming Leaning Assistant System (PLAS). PLAS offers the answer analysis function} to help scoring and feedback activities of teachers by showing the summaries of students' answers to the exercise problems in PLAS.
However, the conventional one has several drawbacks for the practical use. When there are unsubmitted questions by a student, they are skipped in the scoring. The analyzed items of students' answers are not sufficient to help teachers. It takes time to score when students' answers consist of multiple answer files.
In this study, we implement the following five extensions in the answer analysis function: 1) the score of any unsubmitted question is regarded as $0$ point, 2) the answering date and time for each question by a student is included in the output summary, 3) multiple answer files are continuously analyzed and their data are used together, 4) the performance to each question by all the students is summarized, and 5) the performance to each student for all the questions is summarized.
For the evaluation of this study, we compare the number of clicks between the conventional function and the extended one and confirm the usefulness in reducing the burden of teachers. Also, we confirm the effectiveness of the extended function through applying it to real data.
In future works, we will add more analyzed items and generate the necessary file to find unsubmitted questions automatically.
Keyword (in Japanese) (See Japanese page) 
(in English) programming / Web / PLAS / Answer Analysis Function / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 12, LOIS2021-2, pp. 7-12, May 2021.
Paper # LOIS2021-2 
Date of Issue 2021-05-03 (LOIS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 LOIS2021-2

Conference Information
Conference Date 2021-05-10 - 2021-05-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2021-05-LOIS-SPT-GN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extensions of Answer Analysis Function for Programming Learning Assistant System 
Sub Title (in English)  
Keyword(1) programming  
Keyword(2) Web  
Keyword(3) PLAS  
Keyword(4) Answer Analysis Function  
1st Author's Name Kazuki Nishimura  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Koshiro Iwamoto  
2nd Author's Affiliation Okayama University (Okayama Univ.)
3rd Author's Name Htoo Htoo Sandi Kyaw  
3rd Author's Affiliation Okayama University (Okayama Univ.)
4th Author's Name Nobuo Funabiki  
4th Author's Affiliation Okayama University (Okayama Univ.)
5th Author's Name Minoru Kuribayashi  
5th Author's Affiliation Okayama University (Okayama Univ.)
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Date Time 2021-05-10 10:55:00 
Presentation Time 25 
Registration for LOIS 
Paper # IEICE-LOIS2021-2 
Volume (vol) IEICE-121 
Number (no) no.12 
Page pp.7-12 
#Pages IEICE-6 
Date of Issue IEICE-LOIS-2021-05-03 

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