生成AIが教育に与える影響

【第81回】大学等におけるオンライン教育とデジタル変革に関するサイバーシンポジウム2024/10/03 にライブ配信（※【10月7日（月）朝9時】までタイムシフト視聴が可能です。）のタイムシフト視聴で、「Generative AI and Education: Opportunities and Issues」を視聴しました。
生成AIが教育に与える影響について述べています。特に、学生がAIを使うようになりましたが、人間がAI生成コンテンツか否かを正確に検出することが困難であること、英国の大学で行われた実験では、AIが生成した大学の課題は、実際の学生のものより高い評価を受け、94%のAI提出物が人間の評価者によって検出されなかったこと、また、AI検出ツールも信頼性が低く、非ネイティブの英語執筆者のテキストを誤ってAI生成と判断する傾向があることが指摘されています。
 
【第81回】大学等におけるオンライン教育とデジタル変革に関するサイバーシンポジウム
https://www.youtube.com/live/tS8VydEQUm0
1:03:41
5.「Generative AI and Education: Opportunities and Issues」
Mike Sharples　Emeritus Professor of Educational Technology, The Open University, UK
 
 
 
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The Impact of Generative AI on Education
At the [81st] Cyber Symposium on Online Education and Digital Transformation in Universities, live-streamed on 2024/10/03 (※Time-shift viewing is available until [Monday, October 7th at 9:00 AM]), I watched the session titled "Generative AI and Education: Opportunities and Issues" through the time-shift viewing.
The session discussed the impact of generative AI on education. Notably, it was mentioned that students have begun using AI, but it is difficult for humans to accurately detect whether the content is AI-generated. In an experiment conducted at a university in the UK, assignments generated by AI received higher evaluations than those produced by actual students, and 94% of AI submissions were not detected by human evaluators. Additionally, it was pointed out that AI detection tools are unreliable and tend to mistakenly identify texts written by non-native English speakers as AI-generated.

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