Rancangan Hypothetical Learning Trajectory (HLT) Menggunakan Konteks Perubahan Iklim untuk Melatih Kemampuan Literasi Statistik

Authors

  • Drajat Friansah Universitas PGRI Silampari, Lubuklinggau, Indonesia
  • Zulkardi Zulkardi Universitas Sriwijaya , Palembang, Indonesia
  • Ely Susanti Universitas Sriwijaya, Palembang, Indonesia
  • Duano Sapta Nusantara Universitas Sriwijaya , Palembang, Indonesia

DOI:

https://doi.org/10.35706/sjme.v8i1.10440

Abstract

The issue of climate change is a global problem that is very strategic to be overcome, because it has an impact on the environment. Low ability to understand and interpret climate change data presented statistically is associated with low statistical literacy skills. Statistical literacy is the critical ability to access, understand, interpret, and evaluate statistical information or messages in various contexts. This underlies researchers to design learning trajectories using the context of climate change to train the statistical literacy skills of prospective teacher students. The method used is the design of research type validations studies with the subject of prospective teacher students. This research produced HLT which is able to facilitate statistical literacy skills and successfully identify the level of statistical literacy ability of students who are at low and middle stages.

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Published

2024-01-29

How to Cite

Friansah, D., Zulkardi, Z., Susanti, E., & Nusantara, D. S. (2024). Rancangan Hypothetical Learning Trajectory (HLT) Menggunakan Konteks Perubahan Iklim untuk Melatih Kemampuan Literasi Statistik. SJME (Supremum Journal of Mathematics Education), 8(1), 59–71. https://doi.org/10.35706/sjme.v8i1.10440