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Paper Abstract and Keywords
Presentation 2022-06-11 14:40
About Automatic Scoring of Google Colaboratory Python Programs
Ryouta Kozakai, Kobayashi Toshiki, Zhang Wenxuan, Yang Qun, Yuji Watanabe (Nagoya City Univ.) ET2022-6
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, an automatic scoring program is created for Python program codes input by Google Colaboratory. Since the Google Colaboratory file is a JSON format notebook document containing various information such as input and output, the proposed method of automatic scoring is divided into three processes of input code, code output, and state, and then the difference in the abstracted syntax tree of the input code is judged as correct or incorrect by the Levenshtein distance. Then, the Python codes collected in the junior high school programming class held at our university for 48 junior high school students in August 2021 are automatically graded, and the deviation from the case of manual scoring and the reason are discussed.
Keywords Programming education, Python, Automated scoring, Abstract syntax tree, Levenshtein distance
Keyword (in Japanese) (See Japanese page) 
(in English) Programming education / Python / Automated scoring / Abstract syntax tree / Levenshtein distance / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 72, ET2022-6, pp. 20-25, June 2022.
Paper # ET2022-6 
Date of Issue 2022-06-04 (ET) 
ISSN 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 ET2022-6

Conference Information
Committee ET IPSJ-CLE  
Conference Date 2022-06-11 - 2022-06-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Institute of Technology/Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Education and Learning Infrastructure in Times of COVID-19, etc. 
Paper Information
Registration To ET 
Conference Code 2022-06-ET-CLE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) About Automatic Scoring of Google Colaboratory Python Programs 
Sub Title (in English)  
Keyword(1) Programming education  
Keyword(2) Python  
Keyword(3) Automated scoring  
Keyword(4) Abstract syntax tree  
Keyword(5) Levenshtein distance  
1st Author's Name Ryouta Kozakai  
1st Author's Affiliation Nagoya City University (Nagoya City Univ.)
2nd Author's Name Kobayashi Toshiki  
2nd Author's Affiliation Nagoya City University (Nagoya City Univ.)
3rd Author's Name Zhang Wenxuan  
3rd Author's Affiliation Nagoya City University (Nagoya City Univ.)
4th Author's Name Yang Qun  
4th Author's Affiliation Nagoya City University (Nagoya City Univ.)
5th Author's Name Yuji Watanabe  
5th Author's Affiliation Nagoya City University (Nagoya City Univ.)
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Speaker Author-1 
Date Time 2022-06-11 14:40:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2022-6 
Volume (vol) vol.122 
Number (no) no.72 
Page pp.20-25 
Date of Issue 2022-06-04 (ET) 

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