研究課題(競争的資金等)

基本情報

氏名 中村 幸子
氏名(カナ) ナカムラ サチコ
氏名(英語) NAKAMURA Sachiko
所属 ELFセンター
職名 講師
researchmap研究者コード
researchmap機関

タイトル

タスクベース語彙学習の促進:エンゲージメントと語彙支援の効果を検証する教室ベース研究

研究態様選択

個人研究

提供機関

独立行政法人日本学術振興会科学研究費助成事業

制度名

研究機関

研究期間(From)

2025/04

研究期間(To)

2028/03

担当区分

担当研究者

Sachiko Nakamura

研究種目

学術研究助成基金助成金・若手研究

採択年度

2025

助成金額・補助金額

4420000

初年度配分額(総額)

配分額(総額)

4420000

配分額(直接経費)

340000

配分額(間接経費)

102000

URL

形式

研究概要

This study investigates how explicit vocabulary support influences engagement and lexical learning in paired interactive information-gap tasks. Sixty-six Japanese EFL learners performed the tasks in either a vocabulary-support condition, with access to task-relevant collocations, or a task-only condition. Engagement was operationalized using discourse-analytic indicators from transcribed interactions and summarized via principal component analysis, resulting in three engagement patterns reflecting (1) target lexical item use, (2) joint meaning making, and (3) sustained interactional progress. Bayesian regression and mediation analyses showed that vocabulary support created meaningful differences in these patterns; however, the patterns did not mediate its effect on gains in explicit productive knowledge of the target forms. This suggests that interactional engagement may relate to aspects of lexical learning not captured by written productive tests. This study illustrates how a task-driven composite approach can retain the visibility of engagement indicators, supporting interpretability in relation to task design and classroom practice.

資金種別

国際共同研究

課題番号

体系的課題番号