Cited by 34Teacher Education and Leadership StudiesEducation and Technology IntegrationEducation and Communication Studies

Understanding web-based professional development in education: the role of attitudes and self-efficacy in predicting teachers’ technology-teaching integration

Kao, Chia-Pin, Wu, Ying-Tien, Chang, Yu-Yu, Chien, Hui-Min, Mou, Tsai-Yun·2020·The Asia-Pacific Education Researcher

Integrity signals

Registry

Crossref · 10.1007/s40299-019-00493-x

Cites

33 of 33 references verified0 citation errors · 0 not checkable

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Authors
Kao, C.-P., Wu, Y.-T., Chang, Y.-Y., Chien, H.-M., & Mou, T.-Y.
Affiliations
  • Southern Taiwan University of Science and Technology (TW)
  • National Central University (TW)
  • National Cheng Kung University (TW)
  • Cheng Shiu University (TW)
  • National Pingtung University (TW)
Corresponding author
Chien, Hui-Min
Venue
The Asia-Pacific Education Researcher
Published
2020-01-03
Volume
29
Issue
5
Pages
405-415
ISSN
  • 0119-5646 (ISSN-L)
  • 2243-7908
OpenAlex
W2997901383
Cited by
34
References
33
Citations by year
2026: 2 · 2025: 5 · 2024: 11 · 2023: 7 · 2022: 3 · 2021: 5 · 2020: 1
FWCI
5.73
Type
journal article
Language
en
Open access
closed
Locations
The Asia-Pacific Education Researcher (publishedVersion)
Funders
National Science Council (MOST-106-2511-S-218-003)
Topics
  • Social Sciences › Education › Teacher Education and Leadership Studies
  • Social Sciences › Education › Education and Technology Integration
  • Social Sciences › Education › Education and Communication Studies
Keywords
online professional development, teacher self-efficacy, teacher attitudes, technology integration, primary school teachers, online experience, teacher professional development

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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.

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