The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Explaining the intention to use technology among student teachers: An application of the Theory of Planned Behavior (TPB)
Abstract
Purpose: This paper aims to examine pre‐service teachers' self‐reported intention to use technology by employing the Theory of Planned Behavior (TPB) as the research framework. Design/methodology/approach: In total, 157 student teachers completed a survey questionnaire measuring their responses to four constructs in the TPB. These were administered at the beginning of the course in which technology was taught and used. Structural equation modeling (SEM) was used as the technique for data analysis. Findings: The results of this study showed that attitude toward usage and subjective norms were significant predictors of behavioral intention to use technology while perceived behavioral control was not. Overall, this study found that the three explanatory variables in the TPB explained about 40 percent of the variance in behavioral intention to use technology. Originality/value: This study contributes to the growing interests among researchers in using models to explain users' intention to use technology. While prior research have use the theory of planned in explaining variables of interest in psychology, this study attempts to test the explanatory ability of the TPB on the intention to use technology in an educational setting. By doing so, the paper hopes to obtain greater insights into the applicability of TPB to explain issues of educational interests.
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
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Efficacy of the Theory of Planned Behaviour: A meta‐analytic review
Armitage, C. J., & Conner, M. (2001) · British Journal of Social Psychology · doi:10.1348/014466601164939 · Cited by 9,970
Why do people use information technology? A critical review of the technology acceptance model
Legris, P., Ingham, J., & Collerette, P. (2003) · Information & Management · doi:10.1016/s0378-7206(01)00143-4 · Cited by 4,250
Modelling technology acceptance in education: A study of pre-service teachers
Teo, T. (2009) · Computers & Education · doi:10.1016/j.compedu.2008.08.006 · Cited by 1,009
Self-citationFactors influencing teachers’ intention to use technology: Model development and test
Teo, T. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.06.008 · Cited by 914
Self-citation
Cited by
Factors influencing teachers’ intention to use technology: Model development and test
Teo, T. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.06.008 · Cited by 914
Self-citationIvanov, S., Soliman, M., Tuomi, A., Alkathiri, N. A., & Al-Alawi, A. N. (2024) · Technology in Society · doi:10.1016/j.techsoc.2024.102521 · Cited by 397
Valtonen, T., Kukkonen, J., Kontkanen, S., Sormunen, K., Dillon, P., & Sointu, E. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.09.008 · Cited by 273
Belanche, D., Flavián, M., & Pérez-Rueda, A. (2020) · Sustainability · doi:10.3390/su12104275 · Cited by 187
Information technology adoption: a review of the literature and classification
Salahshour Rad, M., Nilashi, M., & Mohamed Dahlan, H. (2018) · Universal Access in the Information Society · doi:10.1007/s10209-017-0534-z · Cited by 181
Metadata
- Authors
- Teo, T., & Beng Lee, C.
- Venue
- Campus-Wide Information Systems
- Publisher
- Emerald
- Published
- 2010-03-30
- Volume
- 27
- Issue
- 2
- Pages
- 60-67
- ISSN
- 1065-0741 (ISSN-L)
- OpenAlex
- W2076783715
- Cited by
- 196
- References
- 6
- FWCI
- 12.03
- Type
- journal article
- Language
- en
- Open access
- closed
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: Explaining the intention to use technology among student teachers: An application of the Theory of Planned Behavior (TPB). https://app.cochat.ai/papers/10.1108/10650741011033035
- The paper
- Teo, T., & Beng Lee, C. (2010). Explaining the intention to use technology among student teachers: An application of the Theory of Planned Behavior (TPB). Campus-Wide Information Systems. https://doi.org/10.1108/10650741011033035
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.