Mathematical Modelling and Optimization of Digital Learning Systems for Sustainable Development

Abstract

All sectors now place a high premium on sustainable development, with education being essential for reaching long-term social, economic, and environmental objectives. In this regard, incorporating digital systems that have been scientifically optimized into educational frameworks is crucial to guaranteeing high operational efficiency, inclusivity, and low environmental impact. To explain how to maximize the usefulness of digital learning platforms in providing sustainable education, this paper presents a thorough mathematical model that is explained. The model explains important parameters like resource consumption, accessibility, and scalability using Multiple Objective Linear Programming (MOLP) when combined with advanced learning analytics.  In comparison to traditional educational systems, the model shows how digital education can drastically reduce the reliance on physical infrastructure and materials, thereby lowering energy use and carbon footprints. The model also emphasizes how digital platforms can improve inclusivity by giving diverse learner populations flexible access, irrespective of socioeconomic or geographic barriers. According to the Sustainable Development Goals (SDGs) and the Sustainability 2050 vision, among other global sustainability frameworks, this study highlights the strategic significance of digital transformation in education and suggests that it could be a means of achieving sustainable development. The results show how digital education is not only a viable and inexpensive alternate, but also a vital tool for promoting fair educational opportunities and reducing environmental effects.  This study adds to the growing number of data that supports the adoption of digital innovations as key components of sustainable educational systems throughout the globe.