Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 328

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Examining user acceptance of computer technology: an empirical study of student teachers

Ma, Will Wai‐kit, Andersson, Robert, Streith, Karl‐Oskar·2005·Journal of Computer Assisted Learning

Abstract

Abstract The use of computer technology in schools has made slow progress since the mid‐1980s even though governments have been generous in funding. It is therefore important to understand how and when teachers use computer technology in order to devise implementation strategies to encourage them. This study investigates student teachers' perceptions of computer technology in relation to their intention to use computers. The purpose is to shed light on more effective ways to motivate the use of computer technology in schools. Based on an expanded variation of the Technology Acceptance Model, 84 completed surveys of student teachers were collected at a local university in Sweden. Overall, the results indicated that (1) student teachers' perceived usefulness of computer technology had a direct significant effect on their intention to use it; (2) student teachers' perceived ease of use had only an indirect significant effect on intention to use; however, (3) student teachers' subjective norm, that is the possible influence of external expectations, did not have any direct or indirect significant effects on their intention to use computer technology. Theoretical and practical implications that follow from the results are discussed.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1365-2729.2005.00145.x

Cites

5 of 5 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 5 references

Metadata

Authors
Ma, W. W., Andersson, R., & Streith, K.
Venue
Journal of Computer Assisted Learning
Publisher
Wiley
Published
2005-11-16
Volume
21
Issue
6
Pages
387-395
ISSN
  • 0266-4909 (ISSN-L)
  • 1365-2729
OpenAlex
W2101979905
Cited by
328
References
5
FWCI
20.34
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: Examining user acceptance of computer technology: an empirical study of student teachers. https://app.cochat.ai/papers/10.1111/j.1365-2729.2005.00145.x
The paper
Ma, W. W., Andersson, R., & Streith, K. (2005). Examining user acceptance of computer technology: an empirical study of student teachers. Journal of Computer Assisted Learning. https://doi.org/10.1111/j.1365-2729.2005.00145.x

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.