Exploring Software Infrastructures for Enhanced Learning Environments to Empowering Education

Abstract

Recently, the education sector has undergone a notable change due to the incorporation of technology, resulting in the emergence of Educational Technology (EdTech). This new trend has completely transformed the learning process for students, teaching methods for educators, and operations of educational institutions. Due to EdTech, education has become simpler to access, engaging, and efficient, providing customized and diverse learning experiences. This article explores into the significant influence of EdTech on the field of education and the promising opportunities it offers for the future. EdTech has become a significant enabler, allowing institutions to meet evolving student needs and cultivate new skillsets without being limited by geographical barriers. EdTech integrates digital and technological media with conventional methods of instruction to enable various forms of learning, offering adaptability, enhancing engagement, and providing high-quality educational solutions. EdTech tools empower educators to track student engagement, encourage interactive and creative learning experiences, and stand for human-centred education focusing on critical thinking, innovation, and entrepreneurial activity. Exploring deeper relationships between educational data as well as predicting how well students do in school has been made possible through educational data mining. Presented is a novel model utilizing machine learning computational methods to forecast the EdTech for the students by using their midterm exam results. Various machine learning algorithms were assessed and providing the EdTech for improving their performance in final exam. This study comprehensively examines different EdTech technologies and recommend a unified model that could serve as a solid framework for classroom teaching. © 2024 Elsevier B.V., All rights reserved.