トルコの中学生のための創造的な人工知能の認識スケールの開発
Remziye Semerci Şahin1, Özkan Özbay2, Sevil Çınar Özbay3
1Child and Disease Nursing Department, Nursing Faculty, Koç University, Istanbul, Türkiye.
European journal of pediatrics
|August 29, 2025
まとめ
新しいスケールは,知識,態度,懸念をカバーする,生成性人工知能 (AI) に関する中学生の意識を評価します. 生産性のある人工知能認識スケール (GAIAS) は,教育評価のための有効で信頼できるツールです.
科学分野:
- 教育技術
- 教育における人工知能
- サイコメトリクス
背景:
- 教育における創造的な人工知能 (AI) の普及は,生徒の意識と態度を理解することを必要としています.
- 既存のAI識字ツールは 高等教育向けに設計されていて 中学生向けに特化していないことが多い.
- 青少年における生成性AIの認識を評価するために,心理学的検証された機器が必要である.
研究 の 目的:
- トルコの文脈で,中学生の生成型人工知能 (AI) の認識を測定する,新たに開発されたスケールの有効性と信頼性を検証する.
- 青少年における創造的なAIの知識,態度,懸念を評価するための心理的に健全なツールを提供すること.
主な方法:
- 444人の中学生 (14歳から18歳) を対象とした,横断的,記述的,および相関的な設計の方法論的研究.
- 人口情報フォームとGenerative Artificial Intelligence Awareness Scale (GAIAS) を使用して収集されたデータです.
- スケール検証には,項目開発,内容の妥当性に関する専門家の評価,構造の妥当性に関する探索的要素分析 (EFA),確認的要素分析 (CFA) が含まれており,信頼性分析 (クロンバッハのアルファ,修正された項目総相関,半分の信頼性) も行われました.
主要な成果:
- EFAは3つの要素の構造を特定しました.生成型AIの基礎知識,生成型AIに対するポジティブな態度,および生成型AIの影響に関する懸念,差異の54.29%を説明します.
- CFAは,良いモデルフィットを示し,受け入れ可能なフィットインデックスの3要素モデルを支持しました.
- 高い信頼性は,クロンバッハのアルファが0.946と,サブスケール係数が0.822から0.925の範囲で示された.
結論:
- トルコ版のGenerative Artificial Intelligence Awareness Scale (GAIAS) は有効で信頼性の高いツールとなっている.
- このスケールは,ジェネラティブAIに関する中学生の知識,態度,懸念を効果的に評価します.
- GAIASは,教育者や政策立案者に,ジェネラティブAIの時代における若者のデジタルと倫理的準備を評価し,支援するための重要なツールを提供します.
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