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  1. 論文誌(ジャーナル)
  2. Vol.65
  3. No.2

Connect DB: An Online Learning System for Data Analysis

https://ipsj.ixsq.nii.ac.jp/records/232400
https://ipsj.ixsq.nii.ac.jp/records/232400
7c217009-6b5a-4126-b538-e89a447e3e2f
名前 / ファイル ライセンス アクション
IPSJ-JNL6502014.pdf IPSJ-JNL6502014.pdf (1.8 MB)
 2026年2月15日からダウンロード可能です。
Copyright (c) 2024 by the Information Processing Society of Japan
非会員:¥0, IPSJ:学会員:¥0, 論文誌:会員:¥0, DLIB:会員:¥0
Item type Journal(1)
公開日 2024-02-15
タイトル
タイトル Connect DB: An Online Learning System for Data Analysis
タイトル
言語 en
タイトル Connect DB: An Online Learning System for Data Analysis
言語
言語 eng
キーワード
主題Scheme Other
主題 [特集:創造的学習のための教育におけるコンピュータ] utilizing data, data science, statistics, Informatics I, informatics education
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者所属
Osaka Electro-Communication University High School
著者所属
Shitennoji University
著者所属
Osaka Electro-Communication University
著者所属
Osaka Electro-Communication University
著者所属
Osaka Electro-Communication University
著者所属(英)
en
Osaka Electro-Communication University High School
著者所属(英)
en
Shitennoji University
著者所属(英)
en
Osaka Electro-Communication University
著者所属(英)
en
Osaka Electro-Communication University
著者所属(英)
en
Osaka Electro-Communication University
著者名 Tomonari, Kishimoto

× Tomonari, Kishimoto

Tomonari, Kishimoto

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Yuki, Honda

× Yuki, Honda

Yuki, Honda

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Kosuke, Urushihara

× Kosuke, Urushihara

Kosuke, Urushihara

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Maiko, Shimabuku

× Maiko, Shimabuku

Maiko, Shimabuku

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Susumu, Kanemune

× Susumu, Kanemune

Susumu, Kanemune

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著者名(英) Tomonari, Kishimoto

× Tomonari, Kishimoto

en Tomonari, Kishimoto

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Yuki, Honda

× Yuki, Honda

en Yuki, Honda

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Kosuke, Urushihara

× Kosuke, Urushihara

en Kosuke, Urushihara

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Maiko, Shimabuku

× Maiko, Shimabuku

en Maiko, Shimabuku

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Susumu, Kanemune

× Susumu, Kanemune

en Susumu, Kanemune

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論文抄録
内容記述タイプ Other
内容記述 In Japan, data analysis has become an important part of the ‘Informatics’ subject in high schools. Data analysis is also becoming increasingly important at universities due to the promotion of ‘Mathematical, Data Science, and AI Education Programs’ and other programs. Students learn how to manipulate statistical processing and graph drawing using the computer. We therefore developed a system called ‘Connect DB’ that has an easy-to-learn operation system and supports learning data analysis. This system supports learners in learning data analysis, such as collecting, organizing, and formatting data, by enabling them to analyze data with just a few mouse operations and by suggesting appropriate analysis methods based on the type of data. In addition, the system also provides sample data that can be used in classes to support teachers. This paper describes the design and implementation of the Connect DB data analysis learning system. By comparing the number of operations with spreadsheet software and analyzing the post-training questionnaire for university students and their operation logs, we confirmed that this system is easy to learn and that it can be used for practical training in data analysis.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.32(2024) (online)
DOI http://dx.doi.org/10.2197/ipsjjip.32.150
------------------------------
論文抄録(英)
内容記述タイプ Other
内容記述 In Japan, data analysis has become an important part of the ‘Informatics’ subject in high schools. Data analysis is also becoming increasingly important at universities due to the promotion of ‘Mathematical, Data Science, and AI Education Programs’ and other programs. Students learn how to manipulate statistical processing and graph drawing using the computer. We therefore developed a system called ‘Connect DB’ that has an easy-to-learn operation system and supports learning data analysis. This system supports learners in learning data analysis, such as collecting, organizing, and formatting data, by enabling them to analyze data with just a few mouse operations and by suggesting appropriate analysis methods based on the type of data. In addition, the system also provides sample data that can be used in classes to support teachers. This paper describes the design and implementation of the Connect DB data analysis learning system. By comparing the number of operations with spreadsheet software and analyzing the post-training questionnaire for university students and their operation logs, we confirmed that this system is easy to learn and that it can be used for practical training in data analysis.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.32(2024) (online)
DOI http://dx.doi.org/10.2197/ipsjjip.32.150
------------------------------
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN00116647
書誌情報 情報処理学会論文誌

巻 65, 号 2, 発行日 2024-02-15
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7764
公開者
言語 ja
出版者 情報処理学会
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