青山学院大学図書館

AI and Educators in Partnership : Transforming English Language Assessment and Cross-Cultural Competence with a Hybrid Model

小張, 敬之, Issued : 2026.03.14, 青山經濟論集 <TF02140770>
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コレクションコード 紀要論文
コレクションコード 青山經濟論集
コレクションコード 77
ソースレコードID AN00008892
タイトル AI and Educators in Partnership : Transforming English Language Assessment and Cross-Cultural Competence with a Hybrid Model
作成者 小張, 敬之
オバリ, ヒロユキ
Obari, Hiroyuki
出版者 青山学院大学経済学会
出版者 アオヤマ ガクイン ダイガク ケイザイ ガッカイ
NCID AN00008892
ISSN(プリント) 03856798
DOI URL https://doi.org/10.34321/TF02140770
収録物名 青山經濟論集
収録物名 アオヤマ ケイザイ ロンシュウ
収録物名 The Aoyama journal of economics
巻次等 77
号 4
開始ページ 51
終了ページ 71
日付 Issued : 2026.03.14
主題 Other-en:AI in ELT
主題 Other-en:HHybrid Learning Model
主題 Other-en:Social Constructivism
主題 Other-en:Human-AI Synergy
内容記述 The rapid evolution of Artificial Intelligence (AI) necessitates a paradigm shift in English Language Teaching (ELT), expanding educational objectives beyond linguistic competence to encompass critical 21st-century skills. Grounded in Vygotsky's social constructivist framework, this study investigates the efficacy of a hybrid learning model within a Japanese university context. The pedagogical design integrates AI-driven “Exploitation"—utilizing tools such as Progos, CASEC, and various Large Language Models for linguistic scaffolding—with human-mediated “Exploration" via direct interaction with U.S. exchange students. Quantitative analysis of pre- and post-tests revealed statistically significant improvements in speaking range, fluency, and overall proficiency, validating AI's efficacy in fostering foundational skills. Conversely, qualitative data indicated that intrinsic motivation (100% agreement) and worldview transformation (87% agreement) were driven exclusively by human interaction. Notably, only 42.1% of participants perceived AI as effective for developing Intercultural Communicative Competence (CQ), underscoring the technology's limitations in the affective domain. Consequently, this study advocates for a synergistic hybrid model that leverages AI for efficient, data-driven training while reserving human interaction for higher-order affective and cultural growth as the optimal pedagogical strategy for the AI era.
内容記述 中村まづる名誉教授記念特集号
内容記述 This Number is in Honor of Professor Emeritus Mazuru Nakamura
資源タイプ departmental bulletin paper
資料種別(NIIタイプ) 紀要論文
物理的形態 PDFファイル
アクセス権 open access