Exploring the construct of interactional competence in different types of oral communication assessment

Pub Date : 2024-06-07 DOI:10.1075/is.00022.vo
Sonca Vo
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Abstract

Research on interaction in speaking assessment suggests that both verbal and nonverbal interaction are integral parts of the construct of interactional competence (Galaczi & Taylor, 2018; Plough et al., 2018; Young, 2011). However, little has been done to investigate which features significantly contribute to interactional competence scores. This study, therefore, examined which interaction features that raters noticed in individual scripted interview and paired discussion tasks to gain an insight into the interactional competence construct, providing validity evidence for an inclusion of interactional competence in speaking assessment. Sixty-eight student performances were rated based on interaction rating scales. Exploratory factor analysis revealed four factors: nonverbal communication, topic management, interactional management, and interactive listening. Logistic regressions showed that while raters attended to more topic management features in the individual scripted interview task, they noticed more interactional management features in the paired discussion task. Simple regressions showed that nonverbal communication and topic management features predicted interactional competence scores in the individual scripted interview task, whereas nonverbal communication, topic management, interactional management, and interactive listening features were predictors of scores in the paired discussion task. The findings suggest that both nonverbal and verbal interaction features are important in the interactional competence construct with the paired task providing test-takers with more opportunities to demonstrate their interactional ability.
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探索不同类型口语交际评估中的互动能力建构
有关口语测评中互动的研究表明,言语互动和非言语互动都是互动能力建构的组成部分(Galaczi & Taylor, 2018; Plough et al.)然而,很少有人研究哪些特征对互动能力得分有显著贡献。因此,本研究考察了评分者在个人脚本访谈和配对讨论任务中注意到的哪些互动特征,以深入了解互动能力建构,为将互动能力纳入口语评估提供有效性证据。根据互动评分量表对 68 名学生的表现进行了评分。探索性因子分析揭示了四个因子:非语言交流、话题管理、互动管理和互动倾听。逻辑回归结果表明,在个人采访任务中,评分者注意到更多的话题管理特征,而在配对讨论任务中,他们注意到更多的互动管理特征。简单回归表明,非语言交流和话题管理特征可预测个人脚本访谈任务中的互动能力得分,而非语言交流、话题管理、互动管理和互动倾听特征则可预测配对讨论任务中的得分。研究结果表明,非语言和语言互动特征在互动能力结构中都很重要,配对任务为应试者提供了更多展示其互动能力的机会。
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