David Treagust

David Treagust

orcid

Research Focus & Metrics

Academic Career Length

38Years (1989-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 December 2022 in Computers & Education
Verified
Journal Article
Open access
Mihye WonMihye Won
Mihye Won
DUDewi Ayu Kencana Ungu
Dewi Ayu Kencana Ungu
HMHenry Matovu
Henry Matovu
DTDavid Treagust
David Treagust
CTChin-Chung Tsai
Chin-Chung Tsai
RTRoy Tasker
Roy Tasker

2 July 2022 in Studies in Science Education
Verified
Journal Article
Open access
HMHenry Matovu
Henry Matovu
DUDewi Ayu Kencana Ungu
Dewi Ayu Kencana Ungu
Mihye WonMihye Won
Mihye Won
CTChin-Chung Tsai
Chin-Chung Tsai
DTDavid Treagust
David Treagust
RTRoy Tasker
Roy Tasker
The advanced visualisation and interactive capabilities make immersive virtual reality (IVR) attractive for educators to investigate its educational benefits. This research reviewed 64 studies published in 2016–2020 to understand how science educators designed, implemented, and evaluated IVR-based learning. The immersive design features (sensory, actional, narrative, and social) originally suggested by Dede provided the framework for the analysis of IVR designs. Educators commonly adopted IVR to better aid visualisation of abstract concepts and enhance learning experience. IVR applications tended to have sensory and actional features, leaving out narrative and social features. Learning theories did not appear to play a strong role in the design, implementation, and evaluation of IVR-based learning. Participants generally reported their IVR experiences as positive on engagement and motivation but the learning outcomes were mixed. No particular immersive design features were identified to result in better learning outcomes. Careful consideration of the immersive design features in alignment with the rationales for adopting IVR and evaluation methods may contribute to more productive investigations of the educational benefits of IVR to improve science teaching and learning.



14 August 2014 in Science Education
Verified
Journal Article
Closed access
PDF file
Mihye WonMihye Won
Mihye Won
HYHeojeong Yoon
Heojeong Yoon
DTDavid Treagust
David Treagust

8 October 2019 in International Journal of Science Education
Verified
Journal Article
Closed access
Kok-Sing TangKok-Sing Tang
Kok-Sing Tang
Mihye WonMihye Won
Mihye Won
DTDavid Treagust
David Treagust
This article presents the development, description, application, and discussion of an analytical framework to examine students’ drawings of scientific concepts and processes. Student-generated representation, particularly drawing, is increasingly emphasised as an important learning strategy to help students reason, explain, and demonstrate their scientific thinking and understanding. Although this strategy would require a greater need to understand what students are drawing, there are currently few frameworks that can support researchers and educators in analysing student-generated drawings. Based on the theory of social semiotics and an empirical data corpus of students’ drawings from two research projects, we developed an analytical framework to describe and categorise a broad range of ideas and relationships that students are representing through their drawings in physics and chemistry. The application of this framework will be illustrated by two analytical examples of students’ drawings in the topics of rotational moment and chemical bonding. The first example analysed students’ drawings in relation to their accompanying written explanations, while the second example analysed the students’ drawings in conjunction with the occurring classroom discourse. Through the illustration, the research and pedagogical applications and usefulness of this analytical framework will be discussed.