AIと教育の未来を探る(Researchers explore how AI could shape the future of student learning)

2025-10-22 ジョンズ・ホプキンス大学(JHU)

ジョンズ・ホプキンス大学のCenter for Talented Youth(CTY)の研究チームは、AIチャットボットを中高生向けオンライン授業の共同チューターとして導入し、学習効果を検証した。医療診断課題を扱う2クラス(22名)で比較した結果、成績差はなかったが、AI活用には明確な目的設定と教師の指導設計が不可欠であることが判明。多くの生徒は対話学習より情報検索目的でAIを利用していた。研究者は、AIは「教師の代替」ではなく「補助的学習支援者」として設計すべきと結論づけた。成果は『Journal of Advanced Academics』誌に掲載。

AIと教育の未来を探る(Researchers explore how AI could shape the future of student learning)

<関連情報>

人工知能による共同指導:高度な学習仮想教室における影響の評価 Artificial Intelligence as a Co-Tutor: Assessing the Impact in the Advanced Learning Virtual Classroom

Kathryn N. Thompson, Kimberley L. Chandler, […], and Benjamin Van Durme
Journal of Advanced Academics  Published:August 11, 2025
DOI:https://doi.org/10.1177/1932202X251356323

Abstract

Large language models (LLMs) have the potential to impact learning in the advanced learner virtual classroom through personalized learning and on-demand feedback. This study investigated whether an LLM added to virtual science course activities impacted student learning. Using the GPT4o model from OpenAI, the LLM was developed as a co-tutor to target higher-order cognitive skills by modeling solution behavior through student–LLM interactions. A between-subjects quasi-experimental study was conducted with 22 students in 7th to 10th grades to compare differences in learning between those who completed a course with the LLM (Mage=12.9,SDage = 0.5,82% female) and those who did not (Mage=14.0,SDage = 1.0,55% female). Results indicated no significant differences between the groups. Students interacted with the LLM in unexpected ways, demonstrating the need to supply resources and guidance. These results and the implications of LLM chatbots as an educational tool are discussed.

1603情報システム・データ工学
ad
ad
Follow
ad
タイトルとURLをコピーしました