Modelling technology acceptance in education: A study of pre-service teachers

Teo, Timothy

doi:10.1016/j.compedu.2008.08.006

Cited by 1,009Technology Adoption and User BehaviourGender and Technology in EducationEducation and Technology Integration

Modelling technology acceptance in education: A study of pre-service teachers

Teo, Timothy·2009·Computers & Education

DOI 10.1016/j.compedu.2008.08.006

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Studies have shown that perceived usefulness and perceived ease of use are significant determinants of technology acceptance.
“Studies have shown that perceived usefulness and perceived ease of use are significant determinants of technology acceptance (Davis, 1989;Teo, 2009;Venkatesh et al., 2003).”
From An expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI (2023) · cites this paper as Teo, 2009

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Authors: Teo, T.
Affiliations: Nanyang Technological University (SG)
Corresponding author: Teo, Timothy
ORCID: Teo, Timothy
Venue: Computers & Education
Publisher: Elsevier BV
Published: 2009-02
Volume: 52
Issue: 2
Pages: 302-312
ISSN: 0360-1315 (ISSN-L)
DOI: 10.1016/j.compedu.2008.08.006
OpenAlex: W2121918274
Cited by: 1,009
References: 68
Citations by year: 2026: 75 · 2025: 81 · 2024: 59 · 2023: 72 · 2022: 90 · 2021: 58 · 2020: 85 · 2019: 52 · 2018: 63 · 2017: 59 · 2016: 55 · 2015: 65 · 2014: 52 · 2013: 48 · 2012: 33
FWCI: 42.88
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Computers & Education (publishedVersion)
Murdoch University Research Portal (submittedVersion)
ResearchSpace (University of Auckland) (submittedVersion)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Social Sciences › Gender Studies › Gender and Technology in Education
Social Sciences › Education › Education and Technology Integration
Keywords: technology acceptance, pre-service teachers, teacher professional development, perceived usefulness, perceived ease of use, computer self-efficacy, technological complexity, facilitating conditions, behavioral intention, technology acceptance model

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