Mapping Research on Syawir-Based Physics Learning and Scientific Argumentation: A Systematic Literature Review

Ramadani Khotibul Umam

doi:10.54783/ijsoc.v8i4.1766

Ramadani Khotibul Umam Universitas KH Abdul Wahab, Jombang, Indonesia

DOI: https://doi.org/10.54783/ijsoc.v8i4.1766

Keywords: Syawir, scientific argumentation, conceptual understanding, physics learning, systematic literature review

Abstract

This systematic literature review aimed to map research trends, study characteristics, empirical findings, implementation challenges, and research gaps relevant to the development of a Syawir-based physics learning model incorporating scientific argumentation to support high school students’ conceptual understanding. The study employed a Systematic Literature Review (SLR) following the PRISMA framework. Literature was searched through OpenAlex using combinations of keywords related to physics learning, Syawir, scientific argumentation, and conceptual understanding. A total of 216 records were identified; after removing 25 duplicates and excluding 166 records during title and abstract screening, 25 articles were retained for full-text analysis. The included studies were published between 2018 and 2026 and were predominantly conducted in Indonesia, with quasi-experimental, experimental, research and development, and Fuzzy Delphi designs. The synthesis indicates that argumentation-oriented learning, inquiry, Argument-Driven Inquiry (ADI), classroom discussion, and Problem-Based Learning (PBL) provide relevant evidence concerning improvements in scientific argumentation, scientific reasoning, and conceptual understanding. However, direct empirical evidence on the formal implementation of Syawir in high school physics remains limited. The findings therefore suggest a conceptual alignment between the dialogic characteristics of Syawir and argumentation-oriented learning, but they do not establish the effectiveness of an integrated Syawir model. This review provides an empirical and conceptual foundation for future research to develop, validate, and empirically test a Syawir-based physics learning model.

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