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Journal : Mathematics Education Journal

Analysis of Students’ Learning Loss in Math in Padang City, Indonesia Sartono, Sartono; Triswandari, Retno; Nisa, Sahrun; Safitri, Serly; Ariani, Yetti; Zainil, Melva; Helsa, Yullys
Mathematics Education Journal Vol. 18 No. 3 (2024): Jurnal Pendidikan Matematika
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jpm.v18i3.pp431-446

Abstract

COVID-19 caused the learning process to change from a face-to-face learning process to a distance learning process by using various applications. However, this learning process is also considered less effective in math because students’ conceptual understanding is imperfect. The imperfection of this concept caused students to experience learning loss. This research aimed to analyze students’ learning loss in elementary schools in mathematics subjects. This research used a qualitative research design with a case study type of research. This research involved 280 fifth-grade students from 4 elementary schools. The research results showed that students experienced learning loss in understanding geometry and fraction concepts. Students cannot solve math problems if the problem contains two concepts at once. According to the students, they did not understand these three topics well because when studying these topics, they carried out a distance learning process. Based on these findings, researchers concluded that students experienced learning loss in the high category, with 82% students affected. This study highlights the need for teachers to address learning loss that students experience in geometry and fraction materials. Thus, mathematics teachers can prepare learning tools to help students overcome learning loss.
Computational Thinking Skills Indicators in Number Patterns Helsa, Yullys; Juandi, Dadang; Turmudi
Mathematics Education Journal Vol. 17 No. 2 (2023): Jurnal Pendidikan Matematika
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

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Abstract

This research aims to examine a) what computational thinking indicators have been developed by researchers, b) what computational thinking indicators can be used in learning mathematics appropriately, and c) how to describe the development of student computational thinking indicators from the answers of computational thinking This research is a qualitative descriptive study through a process of collecting data from literature reviews, integrated computational thinking math tests, and interviews. Data collection instruments used research notes, interview sheets, and CT question sheets. The results showed that a) 20 computational thinking indicators had been studied by researchers, b) computational thinking indicators that could be used in learning mathematics include problem decomposition, abstraction, pattern recognition, procedural algorithms, and generalizations, and c) From the student answers, five proposed computational thinking indicators can be developed even though they were not perfect. The general implication of this research is that there are five indicators of computational thinking skills that can be used in mathematics learning, specifically in number patterns, which include problem decomposition, abstraction, pattern recognition, pattern recognition, procedural algorithm, and generalization. The researchers developed all five computational thinking skills indicators in the instructional designs of not only the number pattern concept but also combination, geometry, combinatorics, etc. DOI: https://doi.org/10.22342/jpm.17.2.20042.167-188