Learning models to improve higher-order thinking skills in mathematics: A systematic literature review

Higher-Order Thinking Skills (HOTS) are essential abilities that students must possess in order to face complex problems and think critically. The role of learning models is crucial in developing students' HOTS, as they provide structured and meaningful learning experiences. Numerous learning models have been applied to facilitate and improve students’ higher-order thinking, particularly in mathematics. This study employed a Systematic Literature Review (SLR) approach, which involved collecting and analyzing previously published articles indexed by Google Scholar. The articles were gathered using the Publish or Perish software, with keywords such as "learning model," "HOTS," and "mathematics." A total of 25 relevant articles were reviewed. The findings revealed that several learning models have proven effective in enhancing students' HOTS, including Problem-Based Learning, Project-Based Learning, Discovery Learning, Creative Problem Solving, CORE, and Missouri Mathematics Program. The specific HOTS skills improved through these models include critical thinking, creative thinking, reasoning, and problem-solving abilities. The implication of this study is that educators are encouraged to design instructional activities using learning models with proven effectiveness in fostering students' higher-order thinking skills.

Authors

Institutions

Publication Details

Journal
Jurnal Absis Jurnal Pendidikan Matematika dan Matematika
Published
2025-04-29
DOI
https://doi.org/10.30606/absis.v8i1.3317
Primary Topic
Education and Critical Thinking Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Learning models to improve higher-order thinking skills in mathematics: A systematic literature review

Gida Kadarisma, Jagad Aditya Dewantara
Jurnal Absis Jurnal Pendidikan Matematika dan Matematika
Education and Critical Thinking Development
article

Learning models to improve higher-order thinking skills in mathematics: A systematic literature review

Gida Kadarisma, Jagad Aditya Dewantara
article en

Abstract

Higher-Order Thinking Skills (HOTS) are essential abilities that students must possess in order to face complex problems and think critically. The role of learning models is crucial in developing students' HOTS, as they provide structured and meaningful learning experiences. Numerous learning models have been applied to facilitate and improve students’ higher-order thinking, particularly in mathematics. This study employed a Systematic Literature Review (SLR) approach, which involved collecting and analyzing previously published articles indexed by Google Scholar. The articles were gathered using the Publish or Perish software, with keywords such as "learning model," "HOTS," and "mathematics." A total of 25 relevant articles were reviewed. The findings revealed that several learning models have proven effective in enhancing students' HOTS, including Problem-Based Learning, Project-Based Learning, Discovery Learning, Creative Problem Solving, CORE, and Missouri Mathematics Program. The specific HOTS skills improved through these models include critical thinking, creative thinking, reasoning, and problem-solving abilities. The implication of this study is that educators are encouraged to design instructional activities using learning models with proven effectiveness in fostering students' higher-order thinking skills.

Jurnal Absis Jurnal Pendidikan Matematika dan MatematikaVol. 8(1)
Tanjungpura University (ID), Siliwangi University (ID)
Openalex Percentile: Top 74%
Education and Critical Thinking Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.