Computational thinking for teachers: Development of a localised E-learning system. (February 2022)

• Record Type: Journal Article
• Authors: Ung, Ling-Ling; Labadin, Jane; Mohamad, Fitri Suraya
• Is Part Of: Computers & education. Volume 177(2022)
• Publication Date: 2022-02
• Subjects: Computational thinking -- E-Learning -- Information system -- Teaching and learning -- Teachers; Education -- Data processing -- Periodicals; Education -- Periodicals; Computers -- Periodicals; Computer-Assisted Instruction -- Periodicals; Éducation -- Informatique -- Périodiques; Electronic journals; 370.285
• DOI: 10.1016/j.compedu.2021.104379
• Languages: English
• ISSNs: 0360-1315

Abstract

Abstract: Malaysia has introduced computational thinking skills as part of a curriculum integration update to meet the global trends in 21st-century education, focusing on empowering digital literacy. Nevertheless, a preliminary investigation revealed an apparent lack of understanding of computational thinking skills in general among teachers. The study explores the feasibility of developing a localized E-learning system to train computational thinking skills among teachers. An E-learning system, termed as myCTGWBL, was developed on the basis of a newly proposed conceptual framework to present computational thinking teaching–learning repertoire to the teachers. The hypothesis is that myCTGWBL would develop teachers' computational thinking and its position in teaching–learning understanding. myCTGWBL relevance was tested through DeLone and McLean's information system and Urbach's collaboration quality construct. To determine the success factors, partial least squares structural equation modeling was used. A total of 369 teachers participated in a two-stage survey. Participants' understanding of computational thinking and perceptions were recorded at the pre- and post-intervention phases. Open-ended questions of the surveys were analyzed using a simple text analysis technique. The closed-ended questions surveys were analyzed using SPSS Statistics 22.0. A significant improvement in teachers' computational thinking teaching–learning repertoire in a relatively short period has been recorded. Teachers also demonstrated increased confidence in the future delivering computational thinking-based lessons. The E-learning conceptual framework has illustrated the predictive power between user intent, user satisfaction, and Computational thinking (CT) knowledge benefits. Results demonstrate that myCTGWBL could be used to guide future planning when establishing CT knowledge acquisition initiatives, particularly among teachers. Highlights: myCTGWBL has positive effects on teachers' computational thinking teaching and learning repertoire. 369 teachers participated in the empirical testing. The Partial Least Squares Structural Equation Modeling (PLS-SEM) explains the success factors of myCTGWBL. Teachers claimed that continuous professional development would benefit the teaching and learning practices.