MODEL PEMBELAJARAN PROBLEM BASED LEARNING DALAM PEMBELAJARAN MATEMATIKA

This research examines the effectiveness of Problem-Based Learning (PBL) in mathematics education through a systematic analysis of 27 research journals. The study focuses on the implementation of PBL in enhancing critical thinking abilities, problem-solving skills, mathematical literacy, as well as student motivation and learning outcomes. Meta-analysis results indicate that PBL has significant positive effects on critical thinking abilities in mathematics learning (g=0.769) and science (g=1.122). Comparative studies suggest that PBL is more effective than conventional learning in improving critical thinking skills and learning motivation. Several classroom action research studies report improvements in learning mastery and student mathematics achievement following PBL implementation. However, PBL implementation also faces challenges such as student passivity, teacher readiness, time management, and difficulties in achieving Higher Order Thinking Skills (HOTS) indicators. The development of PBL-based learning tools and interactive media shows promising results in enhancing learning effectiveness. This research concludes that PBL is an effective approach for developing higher-order thinking skills and conceptual understanding in mathematics, although its success depends on teacher readiness and adequate learning system support.

Authors

Institutions

Publication Details

Journal
Jurnal Lebesgue Jurnal Ilmiah Pendidikan Matematika Matematika dan Statistika
Published
2024-12-12
DOI
https://doi.org/10.46306/lb.v5i3.806
Primary Topic
STEM Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MODEL PEMBELAJARAN PROBLEM BASED LEARNING DALAM PEMBELAJARAN MATEMATIKA

Zul Amry, Eka Khairani Hasibuan, Dian Armanto
Jurnal Lebesgue Jurnal Ilmiah Pendidikan Matematika Matematika dan Statistika
STEM Education
article

MODEL PEMBELAJARAN PROBLEM BASED LEARNING DALAM PEMBELAJARAN MATEMATIKA

Zul Amry, Eka Khairani Hasibuan, Dian Armanto
article en

Abstract

This research examines the effectiveness of Problem-Based Learning (PBL) in mathematics education through a systematic analysis of 27 research journals. The study focuses on the implementation of PBL in enhancing critical thinking abilities, problem-solving skills, mathematical literacy, as well as student motivation and learning outcomes. Meta-analysis results indicate that PBL has significant positive effects on critical thinking abilities in mathematics learning (g=0.769) and science (g=1.122). Comparative studies suggest that PBL is more effective than conventional learning in improving critical thinking skills and learning motivation. Several classroom action research studies report improvements in learning mastery and student mathematics achievement following PBL implementation. However, PBL implementation also faces challenges such as student passivity, teacher readiness, time management, and difficulties in achieving Higher Order Thinking Skills (HOTS) indicators. The development of PBL-based learning tools and interactive media shows promising results in enhancing learning effectiveness. This research concludes that PBL is an effective approach for developing higher-order thinking skills and conceptual understanding in mathematics, although its success depends on teacher readiness and adequate learning system support.

Jurnal Lebesgue Jurnal Ilmiah Pendidikan Matematika Matematika dan StatistikaVol. 5(3)
State University of Medan (ID), Universitas Islam Negeri Sumatera Utara (ID)
Openalex Percentile: Top 65%
STEM Education
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.