The Effectiveness of Ghorib Learning through Microsoft Teams E-Learning Platform in Indonesia

This study aims to assess the success rate of learning Ghoroibul Qur'an through the Microsoft Teams e-learning platform for students of the Islamic Education Study Program at the Open University. The research method applied is mixed methods that integrates quantitative and qualitative approaches. Quantitative data were collected through questionnaires filled out by students, while qualitative data were collected from in-depth interviews and observations, in-depth interviews with students and lecturers. The results showed that e-learning in Ghoroibul Qur'an course can improve students' understanding Of Imalah, Isymam, Sakta, Tashil And correct pronunciation. Although there are some challenges, such as the lack of direct interaction between students and teachers, students who actively use digital learning technology tend to have better results, on the other hand, when learning to listen to the reading of students who have weak signals, the teacher is not fully able to correct due to the lack of clarity of the reading. In addition, this study identified the importance of applying blended learning methods to improve the effectiveness of learning Ghoroibul Qur'an. The findings are expected to contribute to designing more effective learning strategies in the digital era, especially in Islamic Religious Education at the University of Terbuka (UT) Indonesia.

Institutions

Publication Details

Journal
Journal of Education and Religious Studies (JERS)
Published
2025-04-21
DOI
https://doi.org/10.57060/jers.rwzyv459
Citations
1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Effectiveness of Ghorib Learning through Microsoft Teams E-Learning Platform in Indonesia

1 citations
Journal of Education and Religious Studies (JERS)
Geochemistry and Geologic Mapping
2.48
article

The Effectiveness of Ghorib Learning through Microsoft Teams E-Learning Platform in Indonesia

article en
1 citations

Abstract

This study aims to assess the success rate of learning Ghoroibul Qur'an through the Microsoft Teams e-learning platform for students of the Islamic Education Study Program at the Open University. The research method applied is mixed methods that integrates quantitative and qualitative approaches. Quantitative data were collected through questionnaires filled out by students, while qualitative data were collected from in-depth interviews and observations, in-depth interviews with students and lecturers. The results showed that e-learning in Ghoroibul Qur'an course can improve students' understanding Of Imalah, Isymam, Sakta, Tashil And correct pronunciation. Although there are some challenges, such as the lack of direct interaction between students and teachers, students who actively use digital learning technology tend to have better results, on the other hand, when learning to listen to the reading of students who have weak signals, the teacher is not fully able to correct due to the lack of clarity of the reading. In addition, this study identified the importance of applying blended learning methods to improve the effectiveness of learning Ghoroibul Qur'an. The findings are expected to contribute to designing more effective learning strategies in the digital era, especially in Islamic Religious Education at the University of Terbuka (UT) Indonesia.

Journal of Education and Religious Studies (JERS)Vol. 5(01)
Indonesia Open University (ID)
Quality Education
Openalex Percentile: Top 7%
Geochemistry and Geologic Mapping
2.48
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.