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Argumentation Skills in Physisc Implementation: A Systematic Literature Review Triananda, Lucy; Kuswanto, Heru; Jumadi, Jumadi
JIPF (Jurnal Ilmu Pendidikan Fisika) Vol 10, No 1 (2025): January 2025
Publisher : STKIP Singkawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26737/jipf.v10i1.6024

Abstract

The aim of this study are to analyze and describe the reasoning skills of students from primary school until college in understanding the learning concept and application of physics. This research focuses on the factors that influence students' concept understanding and argumentation skills in physics. The research method used was systematic literature review (SLR), a literature study in which data was collected through various published articles relevant to reasoning skills in physics from 2019 to 2023. The implementation of this research was done by collecting data through scientific articles published and indexed in the Scopus database. The data analysis technique used is the PRISMA flowchart with different levels and the VOSviewer application. The results showed that the factors effecting argumentation ability in learning physics are influenced by the learning model used, the learning approach, the way the teacher guides the learning activities, as well as environmental factors and community life.
Identification of Misconception Using Diagnostic Tests: Systematic Literature Review Lufita, Ditya; Kuswanto, Heru; Rosana, Dadan; Pratiwi, Ficha Aulia Indah; Triananda, Lucy
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.9986

Abstract

This study aims to review studies that use diagnostic tests to identify misconceptions in physics learning and examine the methods used to overcome them. The results of the review can be used by educators in choosing the type of diagnostic test and method to overcome misconceptions. The methods used are PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and content analysis. A total of 50 articles published in 2018–2023 were analyzed, which focused on the development of diagnostic tests and the application of methods to overcome misconceptions. The results of the study indicate that misconceptions can be identified through various forms of diagnostic tests, such as two-tier, three-tier, four-tier, five-tier, six-tier, and multiple-choice tests. In addition, an educational computing-based approach or computer-assisted learning has proven effective in overcoming misconceptions, especially when supported by the right learning process and model.