A Study on Understanding the Mediation of Web 3.0 Technologies in The Teaching-Learning Process and its effect on the Student's Achievement

Abstract

An abstract summarizes, in one paragraph (usually), the major aspects of the entire paper in the following This paper provides a thorough examination of the function of Web 3.0 technologies in facilitating the teaching-learning process and its influence on student academic performance. Web 3.0, distinguished by its focus on machine learning and artificial intelligence, has revolutionized the conventional education environment, providing novel opportunities for interactive and customized learning encounters. This research conducts a comprehensive analysis of current literature to explore the several methods by which Web 3.0 technologies, including semantic web, social networking, and virtual reality, are being incorporated into educational environments. Moreover, the paper investigates the impact of these technologies on student involvement, motivation, and academic achievement. The findings indicate that using Web 3.0 technologies in education has the capacity to improve student learning outcomes through the provision of individualized and interactive learning experiences. Nevertheless, it is imperative to tackle obstacles such as the digital divide and privacy issues in order to guarantee fair and equal access and utilization. This study provides recommendations for future research and practical consequences for educators and policymakers who want to utilize Web 3.0 technologies to improve teaching and learning processes