Longitudinal perspectives on technology acceptance: Teachers' integration of digital tools through the COVID-19 transition

Abstract The rapid and continuing acceleration of digital transformation in education, propelled by the COVID-19 pandemic, has underscored the urgent need to examine how teachers adapt to and integrate digital tools in their teaching practices. Anchored in the Technology Acceptance Model (TAM) as its theoretical framework, this study uniquely uses a longitudinal design to trace the evolving patterns of technology acceptance and integration among teachers. Through qualitative methodology, involving three series of interviews with 13 secondary school teachers over two years, we identify their evolving interactions with digital tools. Our analysis reveals a cyclical pattern of technology acceptance and use across time, characterized by initial rapid adaptation to digital tools, subsequent periods of reflection and skill acquisition, and varied levels of sustained integration or reassessment. Based on our findings we propose an adapted, cyclical TAM framework and highlight the critical role of ongoing support, professional development, and infrastructure improvements, arguing for comprehensive support systems and adequate time for educators to progress through different stages of digital tool integration. We conclude that a deep understanding and support of these cycles are essential for empowering teachers to lead the digital transformation in education effectively.

Authors

Institutions

Publication Details

Journal
Education and Information Technologies
Published
2024-09-27
DOI
https://doi.org/10.1007/s10639-024-12954-y
Citations
19
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
19.97
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Longitudinal perspectives on technology acceptance: Teachers' integration of digital tools through the COVID-19 transition

Olivia Wohlfart, Ingo Wagner
19 citations
Education and Information Technologies
Technology Adoption and User Behaviour
19.97
article

Longitudinal perspectives on technology acceptance: Teachers' integration of digital tools through the COVID-19 transition

Olivia Wohlfart, Ingo Wagner
article en
19 citations

Abstract

Abstract The rapid and continuing acceleration of digital transformation in education, propelled by the COVID-19 pandemic, has underscored the urgent need to examine how teachers adapt to and integrate digital tools in their teaching practices. Anchored in the Technology Acceptance Model (TAM) as its theoretical framework, this study uniquely uses a longitudinal design to trace the evolving patterns of technology acceptance and integration among teachers. Through qualitative methodology, involving three series of interviews with 13 secondary school teachers over two years, we identify their evolving interactions with digital tools. Our analysis reveals a cyclical pattern of technology acceptance and use across time, characterized by initial rapid adaptation to digital tools, subsequent periods of reflection and skill acquisition, and varied levels of sustained integration or reassessment. Based on our findings we propose an adapted, cyclical TAM framework and highlight the critical role of ongoing support, professional development, and infrastructure improvements, arguing for comprehensive support systems and adequate time for educators to progress through different stages of digital tool integration. We conclude that a deep understanding and support of these cycles are essential for empowering teachers to lead the digital transformation in education effectively.

Education and Information TechnologiesVol. 30(5)
Karlsruhe Institute of Technology (DE), University of Education Freiburg (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 1%
Technology Adoption and User Behaviour
19.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.