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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Yam完成签到,获得积分10
1秒前
如初发布了新的文献求助20
1秒前
沉静天思完成签到,获得积分10
2秒前
小蘑菇应助隐形的菲音采纳,获得10
3秒前
沉静天思发布了新的文献求助10
4秒前
4秒前
XIEYIHAN完成签到 ,获得积分10
4秒前
俊逸完成签到,获得积分10
4秒前
6秒前
追寻紫安发布了新的文献求助10
8秒前
8秒前
lml发布了新的文献求助10
8秒前
魏成仁发布了新的文献求助10
9秒前
9秒前
shijin135完成签到,获得积分10
11秒前
11秒前
楠楠完成签到,获得积分10
11秒前
科目三应助机智友灵采纳,获得10
11秒前
浮槎发布了新的文献求助30
12秒前
12秒前
俊逸关注了科研通微信公众号
13秒前
15秒前
轻松紫烟应助有魅力的桐采纳,获得40
15秒前
17秒前
Ujjel75完成签到,获得积分20
17秒前
淡定秀发完成签到,获得积分10
17秒前
17秒前
18秒前
19秒前
19秒前
heheheli发布了新的文献求助10
19秒前
19秒前
19秒前
19秒前
20秒前
科研菜鸟完成签到,获得积分10
20秒前
王焕玉发布了新的文献求助10
21秒前
小莫发布了新的文献求助10
22秒前
sophia发布了新的文献求助10
22秒前
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6528008
求助须知:如何正确求助?哪些是违规求助? 8321087
关于积分的说明 17812932
捐赠科研通 5629615
什么是DOI,文献DOI怎么找? 2930546
邀请新用户注册赠送积分活动 1907257
关于科研通互助平台的介绍 1766657