Explaining primary school teachers’ intention to use digital learning platforms for students’ individualized practice: comparison of the standard UTAUT and an extended model

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@article{ac99ac2bac99492780eaf42613ff6b7f,
title = "Explaining primary school teachers{\textquoteright} intention to use digital learning platforms for students{\textquoteright} individualized practice: comparison of the standard UTAUT and an extended model",
abstract = "Introduction: Though technologies for individualization appear to benefit primary school students{\textquoteright} learning, studies suggest that their integration remains sparse. Technology acceptance research has largely focused on exploring teachers{\textquoteright} general acceptance of educational technologies, although factors might predict usage intentions differently depending on the specific usage purpose of an educational technology. Digital learning platforms for individualized practice are comparably challenging and complex to use and so far, predictors of primary school teachers{\textquoteright} intention to integrate such technologies into lessons are largely unknown. Meanwhile, research on teachers{\textquoteright} technology acceptance generally lacks comparability due to the absence of a shared theoretical model and usage purpose specification. Methods: In a sample of 272 German primary school teachers, this study aims to identify predictors of teachers{\textquoteright} acceptance of digital learning platforms for students{\textquoteright} individualized practice in consideration of the unified theory of acceptance and use of technology (UTAUT). To ensure a shared understanding, teachers were provided with a video which specified the addressed usage purpose. Regarding teachers{\textquoteright} usage intention, the explanatory power of the standard UTAUT predictors was investigated and compared with an extended UTAUT model accounting for seven additional context-specific predictors. Results: The standard UTAUT significantly explained teachers{\textquoteright} usage intention, with performance expectancy, effort expectancy, and the availability of the necessary technical infrastructure showing significant associations with intention. However, neither a significant nor meaningful increase in explained variance was observed for the extended UTAUT model. Discussion: Results suggest that the standard UTAUT model is sufficient in explaining teachers{\textquoteright} usage intention and that its extension by context-specific predictors provides no added value. Acceptance facilitating interventions should therefore target performance and effort expectancy as well as the availability of technical infrastructure. Thus, underlining that successful implementation of complex educational technologies should consider both, individual and structural factors.",
keywords = "digital learning platforms, individualization, primary school teacher, technology acceptance, UTAUT, Psychology",
author = "Leonie Kahnbach and Alina Hase and Poldi Kuhl and Dirk Lehr",
note = "Publisher Copyright: Copyright {\textcopyright} 2024 Kahnbach, Hase, Kuhl and Lehr.",
year = "2024",
month = may,
day = "15",
doi = "10.3389/feduc.2024.1353020",
language = "English",
volume = "9",
journal = "Frontiers in Education",
issn = "2504-284X",
publisher = "Frontiers Research Foundation",

}

RIS

TY - JOUR

T1 - Explaining primary school teachers’ intention to use digital learning platforms for students’ individualized practice

T2 - comparison of the standard UTAUT and an extended model

AU - Kahnbach, Leonie

AU - Hase, Alina

AU - Kuhl, Poldi

AU - Lehr, Dirk

N1 - Publisher Copyright: Copyright © 2024 Kahnbach, Hase, Kuhl and Lehr.

PY - 2024/5/15

Y1 - 2024/5/15

N2 - Introduction: Though technologies for individualization appear to benefit primary school students’ learning, studies suggest that their integration remains sparse. Technology acceptance research has largely focused on exploring teachers’ general acceptance of educational technologies, although factors might predict usage intentions differently depending on the specific usage purpose of an educational technology. Digital learning platforms for individualized practice are comparably challenging and complex to use and so far, predictors of primary school teachers’ intention to integrate such technologies into lessons are largely unknown. Meanwhile, research on teachers’ technology acceptance generally lacks comparability due to the absence of a shared theoretical model and usage purpose specification. Methods: In a sample of 272 German primary school teachers, this study aims to identify predictors of teachers’ acceptance of digital learning platforms for students’ individualized practice in consideration of the unified theory of acceptance and use of technology (UTAUT). To ensure a shared understanding, teachers were provided with a video which specified the addressed usage purpose. Regarding teachers’ usage intention, the explanatory power of the standard UTAUT predictors was investigated and compared with an extended UTAUT model accounting for seven additional context-specific predictors. Results: The standard UTAUT significantly explained teachers’ usage intention, with performance expectancy, effort expectancy, and the availability of the necessary technical infrastructure showing significant associations with intention. However, neither a significant nor meaningful increase in explained variance was observed for the extended UTAUT model. Discussion: Results suggest that the standard UTAUT model is sufficient in explaining teachers’ usage intention and that its extension by context-specific predictors provides no added value. Acceptance facilitating interventions should therefore target performance and effort expectancy as well as the availability of technical infrastructure. Thus, underlining that successful implementation of complex educational technologies should consider both, individual and structural factors.

AB - Introduction: Though technologies for individualization appear to benefit primary school students’ learning, studies suggest that their integration remains sparse. Technology acceptance research has largely focused on exploring teachers’ general acceptance of educational technologies, although factors might predict usage intentions differently depending on the specific usage purpose of an educational technology. Digital learning platforms for individualized practice are comparably challenging and complex to use and so far, predictors of primary school teachers’ intention to integrate such technologies into lessons are largely unknown. Meanwhile, research on teachers’ technology acceptance generally lacks comparability due to the absence of a shared theoretical model and usage purpose specification. Methods: In a sample of 272 German primary school teachers, this study aims to identify predictors of teachers’ acceptance of digital learning platforms for students’ individualized practice in consideration of the unified theory of acceptance and use of technology (UTAUT). To ensure a shared understanding, teachers were provided with a video which specified the addressed usage purpose. Regarding teachers’ usage intention, the explanatory power of the standard UTAUT predictors was investigated and compared with an extended UTAUT model accounting for seven additional context-specific predictors. Results: The standard UTAUT significantly explained teachers’ usage intention, with performance expectancy, effort expectancy, and the availability of the necessary technical infrastructure showing significant associations with intention. However, neither a significant nor meaningful increase in explained variance was observed for the extended UTAUT model. Discussion: Results suggest that the standard UTAUT model is sufficient in explaining teachers’ usage intention and that its extension by context-specific predictors provides no added value. Acceptance facilitating interventions should therefore target performance and effort expectancy as well as the availability of technical infrastructure. Thus, underlining that successful implementation of complex educational technologies should consider both, individual and structural factors.

KW - digital learning platforms

KW - individualization

KW - primary school teacher

KW - technology acceptance

KW - UTAUT

KW - Psychology

UR - http://www.scopus.com/inward/record.url?scp=85194750460&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/12d7e7ef-1eb8-3351-8be0-62cf102506c8/

U2 - 10.3389/feduc.2024.1353020

DO - 10.3389/feduc.2024.1353020

M3 - Journal articles

AN - SCOPUS:85194750460

VL - 9

JO - Frontiers in Education

JF - Frontiers in Education

SN - 2504-284X

M1 - 1353020

ER -