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Rini Apriani
Master’s Program in Mathematics Education, Faculty of Mathematics and Natural Sciences, Universitas Negeri Yogyakarta, Indonesia
Agriculture, Biological Sciences & Forestry Chemistry Education Mathematics Physics

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Learning Obstacles and Students’ Statistical Thinking Levels in Elementary Schools: A Foundation for Designing a Hypothetical Learning Trajectory Rini Apriani; Sugiman
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 11 No 2 (2026): October
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v11i2.8686

Abstract

Statistical thinking is an essential 21st-century competency; however, statistics instruction in elementary schools remains largely procedural. This study integrates learning obstacles, statistical thinking levels, and Hypothetical Learning Trajectory (HLT) within a unified analytical framework. It aims to identify students’ learning obstacles and statistical thinking levels in learning measures of central tendency as an empirical basis for HLT design. A qualitative case study was conducted with 16 sixth-grade students and one teacher at SDN 1 Waringinsari in June 2026. Data were collected through diagnostic tests, participatory observation, and semi-structured interviews and analyzed using NVivo 14 through open, axial, and selective coding. The findings indicate that epistemological obstacles predominate, followed by ontogenical and didactical obstacles. Students’ statistical thinking levels are concentrated at transitional and quantitative levels, while the analytical level is rarely achieved. Epistemological obstacles persist across transitional and quantitative levels. The study contributes a systematic mapping of learning obstacles and statistical thinking levels to inform evidence-based HLT design.
Co-Authors Sugiman