Professional Knowledge Clusters of Student Teachers Based on the TPACK Framework

Many countries face a situation where candidates with different backgrounds are being attracted to teacher education. Therefore, groups of student teachers have become heterogeneous. They may differ in terms of background including age, previous experience, attitudes, but also might vary in terms of professional knowledge. The aim of this study was to describe the clusters of student teachers according to the TPACK framework and compare how these clusters differ according to the background data. The sample consisted of 232 student teachers and K-means cluster analysis identified five clusters according to the TPACK framework. The clusters differed in strong and weak areas of TPACK and differences in student teachers’ background data were identified between the clusters. The results indicated student teachers as a heterogeneous group. Therefore, flexible learning pathways are needed in teacher education.

[1]  Dominik Petko,et al.  Self-reported technological pedagogical content knowledge (TPACK) of pre-service teachers in relation to digital technology use in lesson plans , 2021, Comput. Hum. Behav..

[2]  S. Thomson,et al.  The Teaching and Learning International Survey 2018. Australian Report Volume 2: Teachers and School Leaders as Valued Professionals , 2020 .

[3]  Piret Luik,et al.  The impact of beliefs and knowledge on the integration of technology among teacher educators: A path analysis , 2019, Teaching and Teacher Education.

[4]  Yehuda Peled,et al.  Exploring TPACK among pre-service teachers in Australia and Israel , 2018, Br. J. Educ. Technol..

[5]  Shun Xu,et al.  A Research on the Present Situation and Strategies of Pre-Service Teachers' TPACK Competence , 2018, 2018 9th International Conference on Information Technology in Medicine and Education (ITME).

[6]  Teemu Valtonen,et al.  Differences in pre-service teachers' knowledge and readiness to use ICT in education , 2018, J. Comput. Assist. Learn..

[7]  Piret Luik,et al.  Perceptions of technological, pedagogical and content knowledge (TPACK) among pre-service teachers in Estonia , 2018, Education and Information Technologies.

[8]  Ronny Scherer,et al.  A comprehensive investigation of TPACK within pre-service teachers’ ICT profiles: Mind the gap! , 2017 .

[9]  Marlies Baeten,et al.  Training second-career teachers : a different student profile, a different training approach? , 2016 .

[10]  Clay M. Voorhees,et al.  Discriminant validity testing in marketing: an analysis, causes for concern, and proposed remedies , 2016 .

[11]  M. Sarstedt,et al.  A new criterion for assessing discriminant validity in variance-based structural equation modeling , 2015 .

[12]  Ching Sing Chai,et al.  Teacher clusters and their perceptions of technological pedagogical content knowledge (TPACK) development through ICT lesson design , 2014, Comput. Educ..

[13]  Bart Rienties,et al.  Online training of TPACK skills of higher education scholars: a cross-institutional impact study , 2013 .

[14]  Jered Borup,et al.  Using TPACK as a framework to understand teacher candidates' technology integration decisions , 2012, J. Comput. Assist. Learn..

[15]  R. Kline Principles and practice of structural equation modeling, 3rd ed. , 2011 .

[16]  Chin-Chung Tsai,et al.  Examining the technological pedagogical content knowledge of Singapore pre-service teachers with a large-scale survey , 2010, J. Comput. Assist. Learn..

[17]  Joshua H. Barnett,et al.  Revisiting technological pedagogical content knowledge: Exploring the TPACK framework , 2010, Comput. Educ..

[18]  Chin-Chung Tsai,et al.  Facilitating Preservice Teachers' Development of Technological, Pedagogical, and Content Knowledge (TPACK) , 2010, J. Educ. Technol. Soc..

[19]  Matthew J. Koehler,et al.  Tracing the development of teacher knowledge in a design seminar: Integrating content, pedagogy and technology , 2007, Comput. Educ..

[20]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[21]  Matthew J. Koehler,et al.  Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge , 2006, Teachers College Record: The Voice of Scholarship in Education.

[22]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[23]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[24]  L. Shulman Knowledge and Teaching: Foundations of the New Reform , 1987 .

[25]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .