Measuring computer science pedagogical content knowledge: An exploratory analysis of teaching vignettes to measure teacher knowledge

Aman Yadav, Marc Berges, Phil Sands, Jon Good
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引用次数: 23

Abstract

The initiatives to introduce Computer Science as a mandatory subject in K-12 in the U.S. (CSForAll), the U.K. (CAS), or Australia mean that thousands of new teachers will need to be trained both through inservice professional development and preservice teacher preparation. In order to examine the success of these efforts to train new computer science teachers requires computer science education researchers to evaluate the development of knowledge to teach computer science, i.e. pedagogical content knowledge. To date, we know little about how computer science pedagogical content knowledge looks like and how to assess it. This paper reports results from a qualitative analysis of computer science teachers' responses to teaching vignettes about students' understanding of programming constructs. The responses were evaluated using qualitative text analysis and commonalities are presented. In future research, the teachers' knowledge related to programming errors will be investigated on the basis of a survey developed from the answers of the presented study.
测量计算机科学教学内容知识:教学小短文测量教师知识的探索性分析
在美国(CSForAll)、英国(CAS)或澳大利亚,将计算机科学作为K-12的必修科目的举措意味着,数千名新教师将需要通过在职专业发展和职前教师准备来接受培训。为了检验这些培养新计算机科学教师的努力是否成功,需要计算机科学教育研究者评估计算机科学教学知识的发展,即教学内容知识。到目前为止,我们对计算机科学教学内容知识是什么样子以及如何评估它知之甚少。本文报告了计算机科学教师对关于学生理解编程结构的教学小片段的反应的定性分析结果。使用定性文本分析对这些回答进行了评估,并提出了共性。在未来的研究中,将根据本研究的答案进行调查,调查教师对编程错误的相关知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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