Learning Science and Mathematics (LSM) Journal  Vol.1, Issue 15, pp 56-71

 

Science Teacher’s Self-Confidence on Integrating Computational Thinking into Classroom Pedagogies for Teaching and Learning

Nora Ramin, Corrienna Abdul Talib, Hassan Aliyu, Marlina Ali & Neni Hermita

Received first draft 24 January 2020. Received reports from first reviewer (3 March); second reviewer (4 April). Received revised draft 3 November.
Accepted: 6 November 2020.
Published: 30 December 2020

 

Abstract

With the awareness on the significance of digital skills in relation to Information and Communication Technology, many scholars across the globe indicated the need to include coding starting with primary education up to secondary school science curriculum. In addition, various benefits can be obtained from teachers' self-confidence in teaching that bring about a positive impact on integration of computational thinking skills which will enable students’ improvement of learning. Science teacher's selfesteem with self-confidence is essential component that enhance effective integration of computational thinking into classroom pedagogies for teaching and learning. The study investigated teacher's self-confidence on integrating computational thinking into their classroom instructions. It adopted survey research design. While a total of 40 online questionnaires were sent to the respondents, 32 were retrieved and hence used for analysis using SPSS version 24. Results indicated that science teachers demonstrated higher level of self- confidence on computational thinking. It also indicated that there is no significant difference on self-confidence to integrate computational thinking between genders. Science teachers need to improve their self-confidence in computational thinking skills by demonstrating confidence of knowledge/skills related to programming in various content areas to promote creativity and problem-solving skills among learners.

Keywords: Self-confidence; Computational thinking; Pedagogies; Teacher; Classroom

 

© 2020 SEAMEO RECSAM LSM Journal

 

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