Pioneering quantitative assessment of questioning competency in elementary pre-service teachers using Likert-scale questions

利克特量表 比例(比率) 心理学 数学教育 多元方法论 定性研究 教师教育 半结构化面试 编码(社会科学) 定性性质 医学教育 教育学 计算机科学 医学 物理 发展心理学 社会学 机器学习 统计 量子力学 社会科学 数学
作者
Jianlan Wang,Yuanhua Wang,Shahin Shawn Kashef
出处
期刊:International Journal of Science Education [Taylor & Francis]
卷期号:: 1-24
标识
DOI:10.1080/09500693.2024.2439141
摘要

In pre-service teacher (PST) education, developing effective instructional practices like questioning is a crucial learning objective. Assessing PSTs' questioning competencies is essential, yet traditional qualitative methods (e.g., discourse analysis) limit large-scale analysis within PST preparation programs. Previously, we addressed this challenge by designing and validating instruments, including a video-coding scheme and free-response questions, to assess novice teachers' competencies in asking effective guiding questions to address student difficulties. We established a link between their questioning practices and performance on free-response questions. Building upon these efforts, this study aims to further enhance assessment efficiency by transforming pre-validated free-response questions into Likert-scale questions. In this approach, respondents rate provided options that represent various levels of questioning competencies, rather than providing their answers. Over two semesters, we administered Likert-scale questions to more than 100 PSTs each term to evaluate the feasibility and validity of this method. We identified five categories of options for Likert-scale questions and developed empirical equations to derive Pedagogical Content Knowledge in Questioning (PCK-Q) from the collected ratings. The findings support the use of Likert-scale questions as a promising tool for large-scale assessment of PCK-Q in PST education. We also discussed the application of Likert-scale questions in PST preparation.

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