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A systematic review of educational digital storytelling

Wu, Jing, Chen, Der-Thanq Victor·2020·Computers & Education

Abstract

Abstract Although Digital Storytelling (DS) has been popular in education since the 1990s, there is a lack of systematic review to inform how it has been applied and what has been achieved in the field. Most publications are either conceptual discussions or reports of implementations. This paper presents a systematic review of 57 studies on educational DS (EDS). Our analysis identified a continuous interest within the USA, where EDS originated, and increasing adoption in Asian and European countries, with usage across primary, secondary, and higher education levels. It was used as stand-alone pedagogy or in combination with other pedagogies, usually in the humanities and social science contexts. The review categorizes five orientations (appropriative, agentive, reflective, reconstructive, and reflexive) and eight types of outcomes (affective, cognitive, conceptual, academic, technological, linguistic, ontological, and social). Based on this synthesis, we discuss three issues: a linguistic conundrum, a rosy picture of positive outcomes, and a further expansion of the optimal reconstructive orientation. Possible reasons for these issues are explored, and directions for future studies are suggested.

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Metadata

Authors
Wu, J., & Chen, D.-T. V.
Venue
Computers & Education
Publisher
Elsevier BV
Published
2020-04
Volume
147
Pages
103786
ISSN
0360-1315 (ISSN-L)
OpenAlex
W2996558551
Cited by
341
References
66
FWCI
6.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A systematic review of educational digital storytelling. https://app.cochat.ai/papers/10.1016/j.compedu.2019.103786
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Wu, J., & Chen, D.-T. V. (2020). A systematic review of educational digital storytelling. Computers & Education. https://doi.org/10.1016/j.compedu.2019.103786

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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.