Unraveling TPACK: Investigating the inherent structure of TPACK from a subject-specific angle using test-based instruments

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Education Pub Date : 2024-03-18 DOI:10.1016/j.compedu.2024.105040
Armin Fabian , Tim Fütterer , Iris Backfisch , Erika Lunowa , Walther Paravicini , Nicolas Hübner , Andreas Lachner
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Abstract

Against the backdrop of digitalization, it is imperative to provide pre-service teachers with adequate training opportunities to foster their professional knowledge regarding technology integration in teaching-learning scenarios. However, to date, only limited insights into the empirical nature of such knowledge – often subsumed under the term Technological Pedagogical and Content Knowledge (i.e., TPCK) – are possible given the heterogeneity of prior research investigating the empirical relationship between different knowledge components. This heterogeneity is likely due to the predominant use of self-reports in previous studies. Against this background, the present study pursued two goals. The first goal was to investigate the empirical nature of TPCK among pre-service teachers, utilizing test-based instruments to explore TPCK's nature from a subject-specific angle, that is, its relationship with Pedagogical Content Knowledge (PCK) and Technological Knowledge (TK). Given the widespread use of self-reports, the study's second goal was to examine the relationship between test-based and self-reported TPCK, exploring possible associated factors (e.g., pre-service teachers' gender, prior experience in teaching with technologies in school, or metacognitive accuracy) that may explain why both measures are linked only weakly. Findings reveal that both PCK and TK statistically predicted TPCK to a similar extent highlighting the integrated nature of TPCK. The relationship between test-based and self-reported TPCK was moderated by pre-service teachers' metacognitive accuracy, but not by their gender or prior experience. Together, these insights offer valuable guidance for refining teacher training regarding effective technology integration by indicating the need to target not only PCK and TK but also TPCK.

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解读传统知识包:利用基于测试的工具,从特定学科的角度调查传统知识包的内在结构
在数字化背景下,必须为职前教师提供充分的培训机会,培养他们将技术融入教学情境的专业知识。然而,迄今为止,对这些知识(通常归入技术教学与内容知识(即 TPCK)一词)的实证性质的了解还很有限,这是因为先前调查不同知识组成部分之间实证关系的研究存在差异。这种异质性可能是由于以前的研究主要使用自我报告。在此背景下,本研究有两个目标。第一个目标是调查职前教师 TPCK 的实证性质,利用基于测试的工具从特定学科的角度探讨 TPCK 的性质,即 TPCK 与教学内容知识(PCK)和技术知识(TK)的关系。鉴于自我报告的广泛使用,本研究的第二个目标是研究基于测试的 TPCK 与自我报告的 TPCK 之间的关系,探讨可能的相关因素(如职前教师的性别、以前在学校使用技术教学的经验或元认知的准确性),以解释为什么这两种测量方法之间的联系很弱。研究结果表明,PCK 和 TK 在统计学上对 TPCK 的预测程度相似,这突出表明了 TPCK 的综合性。职前教师的元认知准确性调节了基于测试的 TPCK 与自我报告的 TPCK 之间的关系,但其性别或先前的经验则没有调节作用。总之,这些见解为完善有效技术整合方面的教师培训提供了宝贵的指导,表明不仅需要针对 PCK 和 TK,还需要针对 TPCK。
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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