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E-Learning Education systems are gaining attention day-to-day because of their inclusive pertinence in the distance education system. Due to COVID-19, the online learning education system has become very popular. Most probably, all education systems have been using the IoT-based E-Learning system to continue the students’ education without hindrance during the COVID lockdown. Several E-Learning IoT schemes are explored that reflect privacy and security, but still, there is no detailed scheme; hence, it needs a sustainable, secure E-Learning IoT system. The characteristics and prospects of the Internet of Things are discussed in this article. By analyzing the various functions and capabilities of the Internet of Things, this article aims to provide an overview of the various advantages and challenges of using the platform for e-learning. This paper proposed the E-Learning IoT architecture with Blockchain technology, with layers of different IoT and Blockchain concepts to secure the online education system. Also, the block diagram of the proposed architecture demonstrates how students can securely access or interact with the online learning system through Blockchain technology. By implementing the proposed e-learning IoT architecture, universities and colleges can improve their distance learning programs and increase efficiency without affecting their academic activities. Finally, the study found that e-learning positively impacts students' learning experience and overall quality of education. It also exhibited a significant positive impact on their flexibility and academic productivity.

Introduction: The Metaverse, a virtual space where users can engage with each other in a variety of experiences, has gained significant attention in recent years. With the advent of advanced technologies like Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), the possibilities of the Metaverse have expanded to create new opportunities for learning and education. Objective: This research article aims to explore the potential of the Metaverse for higher education, including its opportunities, challenges, and implications. Methods: The article provides a comprehensive overview of the Metaverse, its history, and its key components. It then examines the potential of the Metaverse for higher education by reviewing relevant literature and analyzing the benefits that it can offer. These benefits include increased accessibility, flexibility, and interactivity, as well as the potential for immersive and personalized learning experiences. Results: The article also identifies the challenges and limitations of the Metaverse, such as technical limitations, privacy and security concerns, and the need for digital literacy skills. It further discusses the implications of using the Metaverse for higher education, including its impact on teaching and learning, curriculum design, and student engagement. Conclusions: Finally, the article proposes some recommendations for educators and institutions interested in exploring the use of the Metaverse for higher education. These recommendations include developing a clear understanding of the educational goals, selecting appropriate technologies and platforms, and providing training and support for both educators and students.

Introduction: This review paper provides a comprehensive examination of the applications and impact of artificial intelligence (AI) in the field of education. With advancements in AI technologies, the educational landscape has witnessed significant transformations. This review aims to explore the diverse AI techniques employed in education and their potential contributions to teaching, learning, assessment, and educational support.Objective: This research article aims to tracing the development of AI in education from its early beginnings to its current state. It highlights key milestones and breakthroughs that have shaped the field, including the emergence of intelligent tutoring systems and expert systems.Methods: The article provides a comprehensive overview of the various AI techniques utilized in education, such as machine learning, natural language processing, computer vision, and data mining. Each technique is discussed in detail, showcasing the algorithms, models, and methodologies used within each approach.Results: While the benefits of AI in education are substantial, the paper also addresses the challenges associated with its integration. Ethical considerations, privacy concerns, and the need for effective human-AI collaboration are discussed in-depth.Conclusion: this review underscores the transformative potential of AI in education. By harnessing AI technologies effectively and responsibly, educators and policymakers can unlock new possibilities for enhancing teaching and learning experiences, fostering personalized instruction, and driving educational advancement.