Education Access System (EAS): A Low-Latency Learning System for Low-Bandwidth Education Access

Muhammad Inam ul Haq; Fazal Malik; Asiya Bibi; Muhammad Javed; Muhammad Shoaib

Authors

Muhammad Inam ul Haq Department of Computer Science & Bioinformatics, Khushal Khan Khattak University, Karak, Khyber Pakhtunkhwa, Pakistan
Fazal Malik Department of Computer Science, Iqra National University, Peshawar, Khyber Pakhtunkhwa, Pakistan
Asiya Bibi School of Science and Technology, Middlesex University, London, United Kingdom
Muhammad Javed Institute of Computer Science and Information Technology, University of Science and Technology Bannu, Khyber Pakhtunkhwa, Pakistan
Muhammad Shoaib Department of Computer Science, Iqra National University, Peshawar, Khyber Pakhtunkhwa, Pakistan

Keywords:

Low-Bandwidth Learning, Learning Management System (LMS), Digital Divide, EAS, Low-Latency Education, SDG 4, React-Node-MongoDB Stack

Abstract

Online learning worldwide requires well-performing Learning Management Systems (LMS); however, most web-based application packages have no opportunities to execute their task in the low-bandwidth areas due to the infrastructure factor, the absence of digital literacy, and the barriers of institutions. It applies this digital divide to the countryside and the developing world and limits access to quality education. Existing LMS systems such as Moodle and Blackboard are designed to support high-bandwidth systems, and they are not applicable in locations where 2G/3G is the predominant network. This gap can be addressed by a low-bandwidth, lightweight, and low-latency LMS named Education Access System (EAS), which is developed, engineered, and tested in this research project. It also worked through four phases of methodology: requirement analysis and stakeholder mapping, data analysis and system architecture built upon a layered architecture, implementation of the application using React, node.js, MongoDB, and optimized APIs, and assessment of the project via manual/automated testing and User Acceptance Testing (UAT) with students. The findings show login and usable databases, 95.8% respondents had improved learning with the platform, but valid performance under the simulated conditions of a 2G/3G (100-500 kbps) was still simulated (low forum interaction 12.5%). EAS explains how LMS optimization solutions can be used to the advantage of equitable digital education, comprising SDG 4, and how the future will center on mobile deployment, offline adaptations, and long-term collaborative capabilities.

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