Improving Motivation in Learning AI for Undergraduate Students by Case Study

• Item type: Journal(1)
• 公開日: 2024-02-15
• タイトル: Improving Motivation in Learning AI for Undergraduate Students by Case Study
• タイトル / 言語: en
• タイトル: Improving Motivation in Learning AI for Undergraduate Students by Case Study
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 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] AI education, undergraduate programs, group discussion
• 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: Hiroshima University, Information Media Center
• 著者所属: Hiroshima Bunkyo University, Department of Education, Faculty of Education
• 著者所属: Hiroshima University, Information Media Center
• 著者所属(英): en
• 著者所属(英): Hiroshima University, Information Media Center
• 著者所属(英): en
• 著者所属(英): Hiroshima Bunkyo University, Department of Education, Faculty of Education
• 著者所属(英): en
• 著者所属(英): Hiroshima University, Information Media Center
• 著者名: Yuko, Murakami; Yukari, Sho; Tomohiro, Inagaki
• 著者名(英): Yuko, Murakami; Yukari, Sho; Tomohiro, Inagaki
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: The purpose of introductory data science education for undergraduates is to increase students' interest in data science and motivate them to learn. In Japanese university students' standard data science curriculum, group work based on AI application examples is recommended to motivate students to learn data science. All university students who have just graduated from high school may not have sufficient basic data science knowledge, and their understanding of its importance may differ from person to person. Under these circumstances, it is unclear whether an introduction to AI applications would be practical as an introductory education to data science. Therefore, in this study, we designed a lesson including group work based on a case study of using AI technology in job interviews. Although first-year university students' willingness to learn AI differed by department, we found that their motivation in learning AI increased after the lesson.; ------------------------------; 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.32.175; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: The purpose of introductory data science education for undergraduates is to increase students' interest in data science and motivate them to learn. In Japanese university students' standard data science curriculum, group work based on AI application examples is recommended to motivate students to learn data science. All university students who have just graduated from high school may not have sufficient basic data science knowledge, and their understanding of its importance may differ from person to person. Under these circumstances, it is unclear whether an introduction to AI applications would be practical as an introductory education to data science. Therefore, in this study, we designed a lesson including group work based on a case study of using AI technology in job interviews. Although first-year university students' willingness to learn AI differed by department, we found that their motivation in learning AI increased after the lesson.; ------------------------------; 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.32.175; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 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
• ISSN / 収録物識別子: 1882-7764
• 公開者 / 言語: ja
• 公開者 / 出版者: 情報処理学会