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Teacher Educators' Use of Digital Tools and Needs for Digital Competence in Higher Education

Amhag, Lisbeth, Hellström, Lisa, Stigmar, Martin·2019·Journal of Digital Learning in Teacher Education

Abstract

Based on a study at two Swedish universities, this article aimed to identify teacher educators' use of digital tools and subsequent need for digital competence in higher education. Methodically, a digital survey was distributed via e-mail to 405 teacher educators representing two faculties at the two universities; in total, 105 teacher educators responded. The survey included 16 questions, with closed- and open-ended varieties. Two theoretical foundations were used: the TPACK model and, as a complement, computer self-efficacy. Through analysis of self-reported use, competence, and need for professional training in digitalization in teaching, results show that teacher educators do not use digital tools primarily for pedagogical purposes. Thus, they need extensive pedagogical support in creating digital teaching. Further, teacher educators need to identify the pedagogical surplus value in their own teaching and learning context with digital tools to increase motivation for concrete, effective, and subject-oriented successful examples as presented by experienced teachers.

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Metadata

Authors
Amhag, L., Hellström, L., & Stigmar, M.
Venue
Journal of Digital Learning in Teacher Education
Published
2019-08-20
Volume
35
Issue
4
Pages
203-220
ISSN
  • 2153-2974 (ISSN-L)
  • 2332-7383
OpenAlex
W2969884099
Cited by
417
References
51
FWCI
44.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Teacher Educators' Use of Digital Tools and Needs for Digital Competence in Higher Education. https://app.cochat.ai/papers/10.1080/21532974.2019.1646169
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Amhag, L., Hellström, L., & Stigmar, M. (2019). Teacher Educators' Use of Digital Tools and Needs for Digital Competence in Higher Education. Journal of Digital Learning in Teacher Education. https://doi.org/10.1080/21532974.2019.1646169

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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.