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All Journal Indonesian Journal of Mathematics Education
Annisa Handayani
Universitas Sriwijaya, Indonesia
Mathematics

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Designing Contextualized PISA-Like Mathematics Problems for Enhancing Higher-Order Thinking Skills Annisa Handayani; Eftia Putri Anggriani; Feryana Cahya Puspita; Izza Della Nur Rizki; Ratu Ilma Indra Putri; Ruth Helen Simarmata; Elsa Susanti
Indonesian Journal of Mathematics Education Vol. 8 No. 2 (2025): Indonesian Journal of Mathematics Education
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/ijome.v8i2.2719

Abstract

The lack of contextual assessment instruments that promote higher-order thinking skills (HOTS) contributes to Indonesian students’ low performance in international assessments such as the Programme for International Student Assessment (PISA). This study aims to design contextualized PISA-like mathematics problems on number content for junior high school students to enhance their HOTS. This research employed a design research approach of the development study type, consisting of preliminary and prototyping stages. Six items were developed to represent the six cognitive levels of PISA. The instruments were evaluated through expert review, one-to-one, and small group testing, and analyzed using qualitative and quantitative methods. The results indicate that the developed instrument is valid in terms of content, construct, and language, with a very high reliability coefficient (0.923). The items demonstrate appropriate levels of difficulty and good discriminating power, and are effective in supporting students’ mathematical reasoning. The use of contextualized everyday situations helps students connect abstract numerical concepts with real-life experiences. However, students still require scaffolding when solving higher-level cognitive tasks. These findings suggest that the developed PISA-like problems are feasible as an alternative assessment tool to enhance students’ higher-order thinking skills in mathematics learning.
Co-Authors Eftia Putri Anggriani Elsa Susanti Feryana Cahya Puspita Izza Della Nur Rizki Ratu Ilma Indra Putri Ruth Helen Simarmata