研究課題/領域番号 |
20K13900
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研究機関 | お茶の水女子大学 |
研究代表者 |
ヤマモト.ラヴェナー ロクサナ お茶の水女子大学, リーディング大学院推進センター, 特任講師 (60794675)
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研究期間 (年度) |
2020-04-01 – 2024-03-31
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キーワード | AI in education / AI for teachers |
研究実績の概要 |
An AI application was developed collaboratively as aid for teachers in their efforts to detect students' affective changes during online or offline classes. The application takes as input video recordings of classes and the teacher obtains attendance records and the deviations from each student’s default state at a certain moment and over time. Tests proved average effectiveness, but no conceptual reason why the technology cannot achieve the goal.
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現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
With an ethical review in place, around 80 international schools in Japan were invited to test MoodAI, free of charge, none of which expressed willingness to try it. This indicates either that teachers’ needs are not met by MoodAI, or that they are unknown or not considered by school decision-makers. In order to better understand teacher needs and how AI can be put to better use, a 90 questions interview was prepared. Two experienced teachers responded already and investigator is looking for more teacher respondents.
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今後の研究の推進方策 |
The research, being centred on the idea that the future of AI in education depends largely on its adoption by teachers, is directing its focus primarily towards understanding very well what it means to be a teacher working in public Japanese schools. Once teacher needs are identified, AI solutions and impact can be tracked.
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次年度使用額が生じた理由 |
The success of the research depends on the number and quality of respondents, both for AI application trials and the 90-questions questionnaire. Collaborators are needed in order to ensure that the questions are thoroughly answered and analysed. Users of the AI prototype may require technical assistance, and there may be further costs related to the improvement of the software.
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