Self-reported technological pedagogical content knowledge (TPACK) of pre-service teachers in relation to digital technology use in lesson plans

Journal article


Schmid, Mirjam, Brianza, Eliana and Petko, Dominik. (2021). Self-reported technological pedagogical content knowledge (TPACK) of pre-service teachers in relation to digital technology use in lesson plans. Computers in Human Behavior. 115, p. Article 106586. https://doi.org/10.1016/j.chb.2020.106586
AuthorsSchmid, Mirjam, Brianza, Eliana and Petko, Dominik
Abstract

TPACK is a prominent model of teacher expertise for effectively teaching with digital technologies. While numerous studies have investigated teachers’ TPACK by means of self-report surveys, its relation to more objective outcomes like lesson planning has only recently come into focus. The aim of this study was to investigate whether differences in use of digital technologies in lesson plans are related to self-reported TPACK. Lesson plans of 173 pre-service teachers were coded for whether or not they included the use of digital technologies as well as for whether this use was intended for teachers or students. Independent t tests and ANOVAs were used to compare individual TPACK components among groups. Subsequently, unique profiles of all TPACK components were identified using cluster analyses and investigated for group differences via cross tabulation. Logistic and multinomial regressions were conducted to investigate the relations between TPACK profiles and technology use controlling for gender, age, and subject group. Overall results showed no significant group differences for either individual TPACK components or for the two- and five-cluster solutions of TPACK profiles. Subject group emerged as the only significant predictor and STEM pre-service teachers showed positive relations of TPACK components and technology use in lesson plans.

KeywordsTPACK; pre-service teachers; technology use; self-report questionnaire; lesson plan; cluster analysis
Year2021
JournalComputers in Human Behavior
Journal citation115, p. Article 106586
PublisherElsevier Ltd
ISSN0747-5632
Digital Object Identifier (DOI)https://doi.org/10.1016/j.chb.2020.106586
Scopus EID2-s2.0-85093655376
Open accessPublished as ‘gold’ (paid) open access
Page range5-12
Publisher's version
License
File Access Level
Open
Output statusPublished
Publication dates
Online22 Oct 2020
Publication process dates
Accepted26 Sep 2020
Deposited28 Jan 2025
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