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Digital simulations as a pedagogical tool: How ready are Fiji year‐11 science teachers?
- Source :
-
Journal of Computer Assisted Learning . Sep2024, p1. 15p. 4 Illustrations. - Publication Year :
- 2024
-
Abstract
- Background Objective Methods Results Conclusions Digital simulations are emerging technologies in science education that allow students to visualise abstract concepts and enable science teachers to conduct laboratory work/experiments online.To determine teacher readiness, the study focused on their cognitive skills and knowledge and perceptions of the use of digital simulations as a pedagogical tool incorporating an intervention in its research design.The theoretical framework of this study combines the modified Technology Acceptance Model with the Cognitive Theory of Multimedia Learning. Snowball sampling was used to recruit 10 chemistry teachers from secondary schools and a mixed methods sequential explanatory research design was adopted. The data was collected through survey, interview, pre‐test and post‐test results before and after the intervention (training).Science teachers perceive digital simulations as valuable and easy to use and are ready to use them in future lessons. An increase in cognitive knowledge and skills coupled with a positive mindset was noted after the training. The teachers indicated the need for training and support at all levels to successfully integrate digital simulations in their classrooms. Additionally, parents' engagement to enhance their awareness of such initiatives was deemed crucial for their support.The study calls for a rethinking and a revision of science curriculum, policies and enhancement of infrastructure/general resources to support technology‐enabled learning, teaching and assessment practices in science classrooms; a continuous professional development program for teachers to keep up with the changing needs of 21st‐century education is imperative. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02664909
- Database :
- Academic Search Index
- Journal :
- Journal of Computer Assisted Learning
- Publication Type :
- Academic Journal
- Accession number :
- 179705731
- Full Text :
- https://doi.org/10.1111/jcal.13071