The Implementation of Computational Thinking on Mathematics Learning Research: A Systematic Literature Review

Abstract

The aim of this study is to describe the implementation of computational thinking research results on mathematics learning in Indonesia. The method used in this study is a systematic literature review (SLR) by using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) protocol. The sample consists of 25 results of computational thinking research on mathematics learning, the sample is journal articles and proceedings published in 2019-2023. The description of this research will be reviewed based on the year of research, the level of education, research location, and research methods used. The results of the study show that (1) computational thinking research on mathematics learning has increased every year where 2022 become the year with the most number of publications, there are 15 articles, (2) 32% (8 articles) of computational thinking research on mathematics learning is conducted at the university level, (3) East Java is the province with the most research on computational thinking on mathematics learning, with 7 studies, (4) quantitative method is the method most frequently used in computational thinking research on mathematics learning in Indonesia, there are 12 studies that used quantitative method, and (5) students are able to perform abstraction and algorithm processes. However, they still have difficulty in performing the decomposition and pattern recognition processes.

Computational Thinking in Mathematics Education Across Five Nations

“…According to previous study CT has 3 dimensions, such as computational concepts, computational practices, and computational perspectives. The computational practices dimension is also known as CT Skill that includes several capabilities such as being incremental and iterative, testing and debugging, reusing and remixing (Mukhibin & Juandi, 2023). The framework used in Singapore and the UK mostly adopts 4 CT foundations known as AADP namely abstraction, algorithmic thinking, decomposition, and pattern recognition.…”

“…A systematic literature review (SLR) on CT in mathematics education has been conducted by several researchers in the past. Previous study performed an SLR to describe the implementation of CT in mathematics education in Indonesia (Mukhibin & Juandi, 2023). Other study conducted an SLR to describe mathematics education that develops CT in various countries (Barcelos, 2018).…”

Kemampuan computational thinking siswa pada materi garis dan sudut ditinjau dari self-efficacy

“…Era globalisasi telah menyebabkan terjadinya berbagai perubahan di berbagai aspek kehidupan, sehingga individu dituntut untuk mampu beradaptasi dalam menghadapi perubahan tersebut (Lase, 2019;Mukhibin & Juandi, 2023). Pertiwi et al (2020) mengatakan bahwa salah satu kemampuan yang perlu dikuasai dalam menghadapi era ini adalah kemampuan computatioal thinking.…”