ANALISIS KEMAMPUAN KOMUNIKASI MATEMATIK MAHASISWA PADA PEMBELAJARAN PROBLEM BASED LEARNING DITINJAU DARI GAYA BELAJAR

The purpose of this study is to describe students' mathematical communication skills in Problem Based Learning viewed from students' learning styles. The type of research used is qualitative research supported by observation data, questionnaires and interviews. Validity testing is the credibility test, transferability, dependability, and confirmability. The results of the study indicate that students' mathematical communication skills viewed from learning styles include visual learning styles (30.4%), auditory (34.8%), and kinesthetic (26.1%) and visual-kinesthetic (8.7%). Mathematical ability indicators on a scale of 0-10 include 1) The ability to express ideas orally, in writing and demonstrate them and describe them visually (8.78), 2) The ability to understand, interpret, and evaluate mathematical ideas orally, in writing and demonstrate them and describe them visually (8.21), 3) The ability to use mathematical terms, notations, and their structures to present ideas describing relationships with situation models (5.30). The appropriate learning style is the key to student success in learning. The use of learning styles that are limited to only one form can cause an imbalance in absorbing information. Therefore, in learning activities, students need to be helped and directed to recognize the learning style that suits them so that learning objectives can be achieved effectively.

Authors

Institutions

Publication Details

Journal
JP2M (Jurnal Pendidikan dan Pembelajaran Matematika)
Published
2024-09-09
DOI
https://doi.org/10.29100/jp2m.v10i2.6592
Primary Topic
Mathematics Education and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ANALISIS KEMAMPUAN KOMUNIKASI MATEMATIK MAHASISWA PADA PEMBELAJARAN PROBLEM BASED LEARNING DITINJAU DARI GAYA BELAJAR

Gillang Al Azhar, Silvia Rahmi Ekasari, Adi Candra Kusuma, Muhamad Rifai
JP2M (Jurnal Pendidikan dan Pembelajaran Matematika)
Mathematics Education and Pedagogy
article

ANALISIS KEMAMPUAN KOMUNIKASI MATEMATIK MAHASISWA PADA PEMBELAJARAN PROBLEM BASED LEARNING DITINJAU DARI GAYA BELAJAR

Gillang Al Azhar, Silvia Rahmi Ekasari, Adi Candra Kusuma, Muhamad Rifai
article en

Abstract

The purpose of this study is to describe students' mathematical communication skills in Problem Based Learning viewed from students' learning styles. The type of research used is qualitative research supported by observation data, questionnaires and interviews. Validity testing is the credibility test, transferability, dependability, and confirmability. The results of the study indicate that students' mathematical communication skills viewed from learning styles include visual learning styles (30.4%), auditory (34.8%), and kinesthetic (26.1%) and visual-kinesthetic (8.7%). Mathematical ability indicators on a scale of 0-10 include 1) The ability to express ideas orally, in writing and demonstrate them and describe them visually (8.78), 2) The ability to understand, interpret, and evaluate mathematical ideas orally, in writing and demonstrate them and describe them visually (8.21), 3) The ability to use mathematical terms, notations, and their structures to present ideas describing relationships with situation models (5.30). The appropriate learning style is the key to student success in learning. The use of learning styles that are limited to only one form can cause an imbalance in absorbing information. Therefore, in learning activities, students need to be helped and directed to recognize the learning style that suits them so that learning objectives can be achieved effectively.

JP2M (Jurnal Pendidikan dan Pembelajaran Matematika)Vol. 10(2)
State University of Malang (ID), Jakarta State Polytechnic (ID), Robotic Research (United States) (US)
Openalex Percentile: Top 69%
Mathematics Education and Pedagogy
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.