Optimization of Video-Based Learning Content for Low Internet Bandwidth Users in Federal University of Technology, Minna, Niger State
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Background of the study
In many regions, limited internet bandwidth poses significant challenges to effective e-learning. At the Federal University of Technology, Minna, Niger State, students often experience interruptions and slow content delivery, adversely affecting their learning outcomes. Video-based learning content, though highly engaging and effective, typically requires high data bandwidth. Optimization of such content—through techniques such as compression, adaptive streaming, and format conversion—can improve accessibility without sacrificing quality. By designing videos that are optimized for low bandwidth, educators can ensure that all students, regardless of their internet connection quality, have equitable access to digital learning materials (Adeola, 2023; Ibrahim, 2024). These optimized videos can deliver interactive lectures, demonstrations, and tutorials that are crucial for subjects requiring visual explanations. However, challenges such as balancing quality and compression, ensuring compatibility across devices, and managing file sizes remain. This study aims to optimize video-based learning content for low-bandwidth users at FUT Minna, evaluate its impact on student engagement and performance, and propose strategies to maintain high educational value while reducing data usage (Chinaza, 2023).
Statement of the problem
Students at the Federal University of Technology, Minna, face significant obstacles in accessing video-based learning content due to limited internet bandwidth. High data consumption and slow streaming rates disrupt the learning process, resulting in diminished engagement and poor academic performance. Although optimized video content can mitigate these issues, current practices often do not achieve the necessary balance between quality and file size. High-resolution videos that are not optimized lead to long buffering times and frustration, while overly compressed videos may lose critical details and clarity. Additionally, the absence of standardized optimization protocols and limited technical support further hinder the widespread adoption of optimized video solutions. These challenges create an inequitable learning environment where students with low-bandwidth connections are disadvantaged. This study seeks to evaluate current optimization techniques, identify gaps, and develop strategies to produce high-quality, low-bandwidth video content that enhances online learning experiences (Ibrahim, 2024; Adeola, 2023).
Objectives of the study
• To assess the current state of video-based content optimization for low bandwidth.
• To identify technical challenges in balancing video quality and file size.
• To propose strategies for optimizing video content for enhanced accessibility.
Research questions
• How does bandwidth limitation affect video-based learning?
• What optimization techniques can reduce file size without compromising quality?
• How can the production process be standardized for low-bandwidth environments?
Significance of the study
This study is significant as it addresses the digital divide by optimizing video content for low-bandwidth users, enhancing learning accessibility and ensuring equitable educational opportunities at FUT Minna (Adeola, 2023; Ibrahim, 2024).
Scope and limitations of the study
The study is confined to video-based learning content optimization at FUT Minna. Limitations include variability in student device capabilities and inconsistent network connectivity.
Definitions of terms
• Video-Based Learning: The use of digital video content as an instructional tool.
• Bandwidth Optimization: Techniques used to reduce data usage while preserving content quality.
• Adaptive Streaming: A method of video delivery that adjusts quality based on available bandwidth.
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