Web-Based Learning Media Wordwall in Fine Arts Learning to Increase Student Learning Motivation

This study aims to describe the application of web-based learning media, WordWall, to fine arts learning and to determine the extent to which the media can improve students' learning motivation. This study uses a survey method with a mixed-methods approach, namely a combination of qualitative and quantitative methods. The population and sample are 36 students of class XI B4 MAN 1 Bone. Data collection techniques include observation, interviews, questionnaires, and documentation. We carry out qualitative data analysis through reduction, presentation, and conclusion drawing, while we carry out quantitative data analysis through descriptive statistical calculations. The results of the study indicate that the application of WordWall through various interactive features has succeeded in creating a fun and interactive learning atmosphere. The results of the observation showed an increase in learning motivation from an average score of 3.7 to 4.8, while the results of the questionnaire showed an average score of 4.44, which is included in the "excellent" category. The four aspects in the ARCS model (attention, relevance, confidence, and satisfaction) have increased significantly. Therefore, WordWall has demonstrated its effectiveness in enhancing students' learning motivation in fine arts education.

Authors

Institutions

Publication Details

Journal
ETDC Indonesian Journal of Research and Educational Review
Published
2025-03-27
DOI
https://doi.org/10.51574/ijrer.v4i2.3007
Primary Topic
Educational Games and Gamification
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Web-Based Learning Media Wordwall in Fine Arts Learning to Increase Student Learning Motivation

Muh. Saleh Husain, Irfan Irfan, Selviana Putri
ETDC Indonesian Journal of Research and Educational Review
Educational Games and Gamification
article

Web-Based Learning Media Wordwall in Fine Arts Learning to Increase Student Learning Motivation

Muh. Saleh Husain, Irfan Irfan, Selviana Putri
article en

Abstract

This study aims to describe the application of web-based learning media, WordWall, to fine arts learning and to determine the extent to which the media can improve students' learning motivation. This study uses a survey method with a mixed-methods approach, namely a combination of qualitative and quantitative methods. The population and sample are 36 students of class XI B4 MAN 1 Bone. Data collection techniques include observation, interviews, questionnaires, and documentation. We carry out qualitative data analysis through reduction, presentation, and conclusion drawing, while we carry out quantitative data analysis through descriptive statistical calculations. The results of the study indicate that the application of WordWall through various interactive features has succeeded in creating a fun and interactive learning atmosphere. The results of the observation showed an increase in learning motivation from an average score of 3.7 to 4.8, while the results of the questionnaire showed an average score of 4.44, which is included in the "excellent" category. The four aspects in the ARCS model (attention, relevance, confidence, and satisfaction) have increased significantly. Therefore, WordWall has demonstrated its effectiveness in enhancing students' learning motivation in fine arts education.

ETDC Indonesian Journal of Research and Educational ReviewVol. 4(2)
State University of Makassar (ID)
Openalex Percentile: Top 90%
Educational Games and Gamification
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.