学生の学習のエンゲージメントを改善できるのか?
Fei Guo1, Lanwen Zhang2, Tianle Shi1
1School of Education, Tsinghua University, Haidian District, Beijing 100084, China.
Behavioral sciences (Basel, Switzerland)
|August 28, 2025
まとめ
中国の大学生たちの間で生成性AI (GenAI) の使用は一般的であり,学習の関与に影響を与えています. その効果はコースのデザインに依存し,高挑戦,高サポートの環境で利益が見られます.
科学分野:
- 教育技術
- 教育における人工知能
- 高等教育研究
背景:
- ジェネラティブAI (GenAI) の採用は大学生間で広く行われています.
- GenAIが学生の学習体験に与える影響に関する経験的証拠は限られている.
- 高等教育におけるGenAIの役割を理解することは極めて重要です.
研究 の 目的:
- GenAIの使用と中国の高等教育における学生の学習の関与の関係を調査する.
- 異なる学習環境がGenAIのエンゲージメントに影響を及ぼすかを探求する.
- GenAIを学術環境で効果的に統合するための経験的洞察を提供すること.
主な方法:
- 中国の25の大学や大学で 72,615人の大学生を対象に調査したデータです
- GenAIの使用パターンと認知的,感情的,積極的な学習の関与との相関性の分析.
- 異なる学習環境におけるGenAIの影響の検討 (例えば,高い挑戦/高いサポートと低い挑戦/高いサポート).
主要な成果:
- 中国の大学生のうち60%以上が2023-2024学年度に GenAI を利用し,学術的なアプリケーションが優勢だった.
- GenAIの学術的な使用は,認知と感情の関与が増加したが,潜在的に活発な学習とモチベーションが低下した.
- GenAIの積極的な関連性は"高い挑戦と高いサポート"のコースで最も強く",低い挑戦と高いサポート"のコースでは否定的でした.
結論:
- GenAIは,特によく構造化された学術的な文脈で,大学生の学習のエンゲージメントを高めることができます.
- GenAIの有効性は,指導的設計と支援的な学習環境の創造における教師の役割に依存しています.
- GenAIの戦略的実施は,教育的原則に導かれ,高等教育におけるその恩恵を最大限に生かすための鍵です.
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