Blended Learning as a Catalyst for Boosting University Students' Learning Motivation

In the digital era, enhancing the quality of education demands innovative approaches. Blended learning—combining face-to-face and online instruction—has emerged as a promising model to boost students’ learning motivation. This study employed a quantitative descriptive design to evaluate the effectiveness of blended learning in improving student motivation at UIN Suska Riau. Data were collected through questionnaires and observations. The population consisted of all students enrolled in the Economic Education Study Program, with a sample size of 143 respondents. The data were analyzed using descriptive statistics and inferential tests, including normality, homogeneity, and paired sample t-tests. Findings revealed a significant improvement in students’ learning motivation after the implementation of blended learning. The pretest results showed an average motivation score of 38.23, categorized as moderate. After blended learning was applied, the posttest average rose to 52.05, indicating a high level of motivation. A paired sample t-test yielded a p-value of 0.000 ( 0.05), confirming a statistically significant difference between pretest and posttest motivation levels. The results demonstrate that blended learning significantly enhances student motivation. These findings suggest that integrating blended learning can be an effective strategy for educators aiming to foster motivation and engagement. This study provides practical insights for lecturers and educational institutions seeking to adopt innovative learning models and develop more dynamic instructional strategies.

Authors

Publication Details

Journal
AL-ISHLAH Jurnal Pendidikan
Published
2025-06-24
DOI
https://doi.org/10.35445/alishlah.v17i2.6723
Primary Topic
Educational Innovations and Challenges
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blended Learning as a Catalyst for Boosting University Students' Learning Motivation

Suarman Suarman, Almasdi Syahza, Novita Sari Pohan
AL-ISHLAH Jurnal Pendidikan
Educational Innovations and Challenges
article

Blended Learning as a Catalyst for Boosting University Students' Learning Motivation

Suarman Suarman, Almasdi Syahza, Novita Sari Pohan
article en

Abstract

In the digital era, enhancing the quality of education demands innovative approaches. Blended learning—combining face-to-face and online instruction—has emerged as a promising model to boost students’ learning motivation. This study employed a quantitative descriptive design to evaluate the effectiveness of blended learning in improving student motivation at UIN Suska Riau. Data were collected through questionnaires and observations. The population consisted of all students enrolled in the Economic Education Study Program, with a sample size of 143 respondents. The data were analyzed using descriptive statistics and inferential tests, including normality, homogeneity, and paired sample t-tests. Findings revealed a significant improvement in students’ learning motivation after the implementation of blended learning. The pretest results showed an average motivation score of 38.23, categorized as moderate. After blended learning was applied, the posttest average rose to 52.05, indicating a high level of motivation. A paired sample t-test yielded a p-value of 0.000 ( 0.05), confirming a statistically significant difference between pretest and posttest motivation levels. The results demonstrate that blended learning significantly enhances student motivation. These findings suggest that integrating blended learning can be an effective strategy for educators aiming to foster motivation and engagement. This study provides practical insights for lecturers and educational institutions seeking to adopt innovative learning models and develop more dynamic instructional strategies.

AL-ISHLAH Jurnal PendidikanVol. 17(2)
Openalex Percentile: Top 77%
Educational Innovations and Challenges
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.