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| 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 |
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| 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 |
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| 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 | |
| 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 | ET2022-6 |
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| 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 |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 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.) |
| 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 |
| #Pages | 6 |
| Date of Issue | 2022-06-04 (ET) |
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