Exploration of high school students' sentiments and emotions towards mathematics: Linked to learning outcomes

Mathematics research often focuses only on students' learning outcomes without considering their emotional aspects. This study aims to describe the tendency of students' sentiment toward mathematics in general and partially based on mathematics learning outcome groups, namely high, medium, and low. In addition, a mood analysis was conducted using Ekman's Basic Emotion classification. Data collection techniques are questionnaires and documentation. The questionnaire contains open questions about students' opinions on mathematics and closed to queries for student demographics. Documentation is done by collecting test scores from student grade books. This study used a descriptive method with data in the form of 72 comments from grade XI high school students in Bandung City, which were analyzed using the Orange Application Sentiment Analysis. The results of the study showed that (1) student sentiment was generally dominated by positive sentiment at 72.22%, (2) positive sentiment also dominated the groups of students with high, medium, and low learning outcomes, with a percentage of more than 68%, and (3) the results of the classification of emotions based on Ekman's Basic Emotion indicated that "joy" was the most dominant emotion, while "anger" had the lowest frequency of occurrence. This study provides new insights regarding students' emotional aspects in mathematics learning, which can be used to improve teaching strategies.

Authors

Publication Details

Journal
Jurnal Gantang
Published
2024-12-31
DOI
https://doi.org/10.31629/jg.v9i2.7456
Primary Topic
Educational Research and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploration of high school students' sentiments and emotions towards mathematics: Linked to learning outcomes

Jarnawi Afgani Dahlan, Dadan Dasari, R. H. Yanti Silitonga
Jurnal Gantang
Educational Research and Pedagogy
article

Exploration of high school students' sentiments and emotions towards mathematics: Linked to learning outcomes

Jarnawi Afgani Dahlan, Dadan Dasari, R. H. Yanti Silitonga
article en

Abstract

Mathematics research often focuses only on students' learning outcomes without considering their emotional aspects. This study aims to describe the tendency of students' sentiment toward mathematics in general and partially based on mathematics learning outcome groups, namely high, medium, and low. In addition, a mood analysis was conducted using Ekman's Basic Emotion classification. Data collection techniques are questionnaires and documentation. The questionnaire contains open questions about students' opinions on mathematics and closed to queries for student demographics. Documentation is done by collecting test scores from student grade books. This study used a descriptive method with data in the form of 72 comments from grade XI high school students in Bandung City, which were analyzed using the Orange Application Sentiment Analysis. The results of the study showed that (1) student sentiment was generally dominated by positive sentiment at 72.22%, (2) positive sentiment also dominated the groups of students with high, medium, and low learning outcomes, with a percentage of more than 68%, and (3) the results of the classification of emotions based on Ekman's Basic Emotion indicated that "joy" was the most dominant emotion, while "anger" had the lowest frequency of occurrence. This study provides new insights regarding students' emotional aspects in mathematics learning, which can be used to improve teaching strategies.

Jurnal GantangVol. 9(2)
Openalex Percentile: Top 69%
Educational Research 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.

Exploration of high school students' sentiments and emotions towards mathematics: Linked to learning outcomes — Jarnawi Afgani Dahlan, Dadan Dasari, et al. · Jurnal Gantang (2024) | TGRS Research Map | TGRS