意思決定ツリーモデルに基づく大学生の創造的自己効率性の予測分析
Minyue Hong1, Xueli Wan2, Leixiao Fu3
1Faculty of Arts and Social Sciences, University of Malaya; hmy.lexi@outlook.com.
Journal of visualized experiments : JoVE
|August 25, 2025
まとめ
この研究では 意思決定ツリーモデルを使って 大学生の創造的な自己効率性を 予測しました 心理的な信頼,学校のメンバーシップ,学術的な自己効率性,そして革新的な行動が 重要な予測要因として特定されました.
科学分野:
- 心理学
- 教育心理学
- 社会科学におけるデータ科学
背景:
- クリエイティビティは 心理学の重要な研究分野です
- 大学生の創造性に対する 自己認識を理解することは 発達に不可欠です
- この集団における創造的自己効能 (CSE) の予測に関する研究は限られているが,計算モデルを使用している.
研究 の 目的:
- 大学生のCSEを予測するためのC5.0決定樹モデルを評価する.
- 大学生のCSEの重要な予測要因を特定する.
- 学生の創造性を理解し 支援する
主な方法:
- 変更されたC5.0決定ツリーモデル (DTM) が開発されました.
- 607人の大学生が強みと困難のアンケート (SDQ) を完了し,心理的回復力,学術的自己効能,学校会員,革新的行動,CSEのサブスケールで回答した.
- DTMは訓練され,クロス検証され,精度とF1スコアを使用して評価されました.
主要な成果:
- 改訂されたC5.0 DTMはCSEを効果的に予測した.
- CSEの重要な予測要因は 心理的な信頼,学校のメンバーシップの心理的な感覚,学術的な自己効能,革新的な行動でした.
- クロス・バリデーションで 10倍の改善が示されました
結論:
- 意思決定ツリーモデルは 大学生の創造的な自己効率性を 予測するのに有効です
- 特定された予測要因は,CSEに影響を与える要因の洞察を提供します.
- この研究は,高等教育における創造性とCSEの強化のための介入を支援します.
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