Machine Learning Approaches For Improvising Modern Learning Systems

Technology is currently playing a vital role in revolutionizing education systems and progressing academia into the digital age. Technological methods including data mining and machine learning are assisting with the discovery of new techniques for improving learning environments in regions across the world. As the educational landscape continues to rapidly transform, researchers and administrators need to stay up to date on the latest advancements in order to elevate the quality of teaching in their specific institutions. Machine Learning Approaches for Improvising Modern Learning Systems provides emerging research exploring the theoretical and practical aspects of technological enhancements in educational environments and the popularization of contemporary learning methods in developing countries. Featuring coverage on a broad range of topics such as game-based learning, intelligent tutoring systems, and course modelling, this book is ideally designed for researchers, scholars, administrators, policymakers, students, practitioners, and educators seeking current research on the digital transformation of educational institutions.

Modes and models of learning and instruction have shown a significant shift from yesterday's conventional learning and teaching given this era’s current educational and social contexts. Learners are no longer learning and communicating with human-generated, computed, and mediated—or traditional—learning and instructional practices, paving the way for machine-facilitated communication, learning, and teaching tools. Learning and instruction, communication and information exchange, as well as gathering, coding, analyzing, and synthesizing data have proven to be in need of even more innovative technology-moderated tools. Applications of Machine Learning and Artificial Intelligence in Education focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Covering topics such as data coding and social networking technology, it is ideal for learners with an interest in the deep learning discipline, educators, educational technologists, instructional designers, and data evaluators, as well as special interest groups (SGIs) in the discipline.

Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Semantic web technologies (SWTs) offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. This book provides a roadmap for semantic web technologies (SWTs) and highlights their role in a wide range of domains including cloud computing, Internet of Things, big data, sensor network, and so forth. It also explores the prospects of these technologies including different data interchange formats, query languages, ontologies, Linked Data, and notations. The role of SWTs in ‘epidemic Covid-19’, ‘e-learning platforms and systems’, ‘block chain’, ‘open online courses’, and ‘visual analytics in healthcare’ is described as well. This book: Explores all the critical aspects of semantic web technologies (SWTs) Discusses the impact of SWTs on cloud computing, Internet of Things, big data, and sensor network Offers a comprehensive examination of the emerging research in the areas of SWTs and their related domains Provides a template to develop a wide range of smart and intelligent applications Includes latest applications and examples with real data This book is aimed at researchers and graduate students in computer science, informatics, web technology, cloud computing, and Internet of Things.

This book provides a comprehensive insight into the benefits and advantages of adopting technology-driven learning as a central pillar of the universities’ teaching, learning, research, and social-responsibility strategies. Despite the importance of adopting technology-enhanced learning within higher education institutions, Arab countries are still slow to change. Arab Universities are facing the need to adopt new methods of learning to serve the demands of a changing demography in the higher education community as well as the requirements of Industry 4.0 and Society 4.0. E-Learning and distance education are not just about technology, but they are about education, pedagogy, curriculum design, research, and innovation. The book also discusses the best methods to implement these modes of learning while taking into consideration all the hurdles and challenges specific to the Arab world. The needs of students (undergraduate and postgraduate), faculty, and the university at large are considered while drawing on the best quality-assurance practices to ensure the quality of education remains uncompromised. Also featured in this book are experiences from Arab Universities and recommendations for improvements that facilitate the use of education technology tools as part the university’s pedagogy to harness the full potential for implementing e-learning and distance education.

This book presents state-of-the-art educational technologies and teaching methodologies and discusses future educational philosophies in support of the global academic society. New Updates in E-Learning is a collection of chapters addressing important issues related to effective utilization of the Internet and Cloud Computing, virtual robotics, and real-life application of hybrid educational environments to enhance student learning regardless of geographical location or other constraints. Over ten chapters, the book discusses the current and future evolution of educational technologies and methodologies and the best academic practices in support of providing high-quality education at all academic levels.

In the dynamic landscape of higher education, institutions face a myriad of challenges that threaten to inhibit their ability to nurture the leaders of tomorrow effectively. Academia is navigating new challenges, including the pressures of globalization, the complexities of digital transformation and the imperative of fostering diversity and inclusion. The need for innovative solutions and strategic approaches to these challenges has never been more pressing. Building Resiliency in Higher Education: Globalization, Digital Skills, and Student Wellness offers a comprehensive exploration of these critical issues, providing educators, administrators, policymakers, and researchers with a roadmap for navigating the complexities of the modern educational landscape. The book equips readers with the knowledge and insights needed to address these challenges head-on by delving into topics such as internationalization, innovation, and sustainability. This valuable resource aids understanding and responsiveness to the trends shaping higher education today through in-depth analysis and an interdisciplinary approach.

Self-directed learning (SDL) is considered a core concept in problem-based learning (PBL) and student-centered learning. More importantly, the current face-to-face model of curriculum implementation faces many challenges that seem to question its dominance over other models. The violent nature of the COVID-19 pandemic has again vindicated SDL practitioners and research enthusiasts to continue seeking solutions that will enhance skills to cope in a rapidly changing technological, globalized world. However, the higher education sector is challenged when promoting SDL due to a slow pace of digital integration since the education system is not fully transformed. This has necessitated an urgent need for global discourse on how universities globally are implementing SDL strategies to enhance the quality of curriculum delivery. Advancing Self-Directed Learning in Higher Education provides insight into various strategic approaches that could be adopted for the successful implementation of SDL in higher education. It is written for professionals who want to improve their understanding of how to improve student teaching and learning and the quality of curriculum implementation in higher education. In this realm, this book provides ideas to its readers about the approaches pertaining to strategy and innovative measures, practical implementations, and tools in the field of curriculum and SDL. Covering topics such as educational technology, intentional education practice theory, and student experience, this premier reference source is an essential resource for teachers, policymakers, lecturers, research scholars, students of higher education, administrators, librarians, academicians, and researchers.