Journal of Vocational, Informatics and Computer Education
Vol 3, No 1 (2025): June 2025

Peran E-Learning dalam Meningkatkan Fleksibilitas dan Prestasi Akademik Mahasiswa: Perspektif dari Kota Makassar

Rina Asriani J Tudon B (Universitas Negeri Makassar)
Nurwahyuni Paallo (Universitas Negeri Makassar)
Nurrahmah Agusnaya (Universitas Negeri Makassar)
Fajriani Azis (Universitas Negeri Makassar)
Andi Anggi Kemalasari (Universitas Negeri Makassar)



Article Info

Publish Date
07 Jun 2025

Abstract

The shift toward digital learning models has raised concerns about students' readiness and their perceptions of e-learning effectiveness in higher education. The aim of this study is to provide a solid foundation for educational institutions, lecturers, and universities in understanding students' awareness levels regarding information technology innovation. This research seeks to explore students' perceptions in Makassar City toward the use of e-learning within blended and online learning models, employing a quantitative approach with a cross-sectional design. The subjects or samples of this study are students from several universities located in Makassar City. The study utilized a questionnaire distributed to students at various universities in Makassar via Google Forms as the data collection instrument. Data analysis was conducted using descriptive statistics and linear regression techniques. The findings indicate that students in Makassar City have a positive perception of e-learning usage in the context of blended and online learning. This perception is based on their experiences in utilizing e-learning within such learning models. The study contributes to a deeper understanding of e-learning implementation in the context of modern education, particularly in efforts to enhance the quality of learning at the higher education level.

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Journal Info

Abbrev

VOICE

Publisher

Subject

Computer Science & IT Education

Description

1. Informatics and Computing Research addressing the design, development, implementation, and evaluation of computing technologies relevant to educational, professional, and digital learning environments, including but not limited to: Artificial Intelligence and Machine Learning Deep Learning and ...