The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Self-reported technological pedagogical content knowledge (TPACK) of pre-service teachers in relation to digital technology use in lesson plans
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Discovering Statistics Using SPSS
Field, A. P., & Miles, J. N. V. (2000) · Medical Entomology and Zoology · Cited by 28,265
Those Who Understand: Knowledge Growth in Teaching
SHULMAN, L. S. (1986) · Educational Researcher · doi:10.3102/0013189x015002004 · Cited by 18,546
Knowledge and teaching: Foundations of the new reform
Shulman, L. (1987) · Harvard Educational Review · doi:10.17763/haer.57.1.j463w79r56455411 · Cited by 16,787
Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge
Mishra, P., & Koehler, M. J. (2006) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1111/j.1467-9620.2006.00684.x · Cited by 12,604
POLANYI, M. (1997) · Knowledge in Organisations · doi:10.1016/b978-0-7506-9718-7.50010-x · Cited by 12,408
Data clustering: 50 years beyond K-means
Jain, A. K. (2010) · Pattern Recognition Letters · doi:10.1016/j.patrec.2009.09.011 · Cited by 9,368
Kruger, J., & Dunning, D. (1999) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.77.6.1121 · Cited by 7,731
An Examination of Procedures for Determining the Number of Clusters in a Data Set
Milligan, G. W., & Cooper, M. C. (1985) · Psychometrika · doi:10.1007/bf02294245 · Cited by 3,868
NbClust : An R Package for Determining the Relevant Number of Clusters in a Data Set
Charrad, M., Ghazzali, N., Boiteau, V., & Niknafs, A. (2014) · Journal of Statistical Software · doi:10.18637/jss.v061.i06 · Cited by 3,396
Cited by
Bai, X., Guo, R., & Gu, X. (2024) · Education and Information Technologies · doi:10.1007/s10639-023-12343-x · Cited by 36
Tang, X., Yuan, Z., Deng, X., & Xiang, L. (2023) · Electronic Research Archive · doi:10.3934/era.2023318 · Cited by 14
Metadata
- Authors
- Schmid, M., Brianza, E., & Petko, D.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 115
- Pages
- 106586
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W3093070761
- Cited by
- 312
- References
- 99
- FWCI
- 57.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Self-reported technological pedagogical content knowledge (TPACK) of pre-service teachers in relation to digital technology use in lesson plans. https://app.cochat.ai/papers/10.1016/j.chb.2020.106586
- The paper
- Schmid, M., Brianza, E., & Petko, D. (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. https://doi.org/10.1016/j.chb.2020.106586
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.