As part of e-learning, adaptive systems are more specialized and focus on the adaptation of learning content and presentation of this content. An adaptive system focuses on how knowledge is learned and pays attention to the activities, cognitive structures, and context of the learning material. The adaptive term refers to the automatic adaptation of the system to the learner. The needs of the learner are borne by the system itself. The learner did not ask to change the parameters of the system to his own needs; it is rather the needs of the learner that will be supposed by the system. The system adapts according to this necessity. Personalization and Collaboration in Adaptive E-Learning is an essential reference book that aims to describe the specific steps in designing a scenario for a collaborative learning activity in the particular context of personalization in adaptive systems and the key decisions that need to be made by the teacher-learner. By applying theoretical and practical aspects of personalization in adaptive systems and applications within education, this collection features coverage on a broad range of topics that include adaptive teaching, personalized learning, and instructional design. This book is ideally designed for instructional designers, curriculum developers, educational software developers, IT specialists, educational administrators, professionals, professors, researchers, and students seeking current research on comparative studies and the pedagogical issues of personalized and collaborative learning.

Adaptation and personalization have been extensively studied in CSCL research community aiming to design intelligent systems that adaptively support eLearning processes and collaboration. Yet, with the fast development in Internet technologies, especially with the emergence of new data technologies and the mobile technologies, new opportunities and perspectives are opened for advanced adaptive and personalized systems. Adaptation and personalization are posing new research and development challenges to nowadays CSCL systems. In particular, adaptation should be focused in a multi-dimensional way (cognitive, technological, context-aware and personal). Moreover, it should address the particularities of both individual learners and group collaboration. As a consequence, the aim of this book is twofold. On the one hand, it discusses the latest advances and findings in the area of intelligent adaptive and personalized learning systems. On the other hand it analyzes the new implementation perspectives for intelligent adaptive learning and collaborative systems that are brought by the advances in scripting languages, IMS LD, educational modeling languages and learning activity management systems. Given the variety of learning needs as well as the existence of different technological solutions, the book exemplifies the methodologies and best practices through several case studies and adaptive real-world collaborative learning scenarios, which show the advancement in the field of analysis, design and implementation of intelligent adaptive and personalized systems.

This book is a collection of papers in the research area of big data, cloud computing, cybersecurity, machine learning, deep learning, e-learning, Internet of Things, reinforcement learning, information system, social media and natural language processing. This book includes papers presented at the 5th International Conference on Big Data Cloud and Internet of Things, BDIoT 2021 during March 17–18, 2021, at ENSIAS, Mohammed V University in Rabat, Morocco.

Computer Support for Collaborative Learning (CSCL) is a field of study centrally concerned with meaning and the practices of meaning-making in the context of joint activity, and the ways in which these practices are mediated through designed artifacts. This volume includes abstracts of papers that were presented during interactive poster sessions at CSCL 2002. Documenting an extremely heterogeneous, productive phase of inquiry with broad social consequences, these proceedings reflect the current state of CSCL research--particularly in North America and Western Europe.

Welcome to the proceedings of the 2010 International Conference on u- and e-Service, Science and Technology (UNESST 2010) – one of the partnering events of the Second International Mega-Conference on Future Generation Information Te- nology (FGIT 2010). UNESST brings together researchers from academia and industry as well as prac- tioners to share ideas, problems and solutions relating to the multifaceted aspects of u- and e-services and their applications, with links to computational sciences, mat- matics and information technology. In total, 1,630 papers were submitted to FGIT 2010 from 30 countries, which - cludes 223 papers submitted to UNESST 2010. The submitted papers went through a rigorous reviewing process: 395 of the 1,630 papers were accepted for FGIT 2010, while 50 papers were accepted for UNESST 2010. Of the 50 papers 8 were selected for the special FGIT 2010 volume published by Springer in the LNCS series. 27 papers are published in this volume and 15 papers were withdrawn due to technical reasons. We would like to acknowledge the great effort of the UNESST 2010 International Advisory Board and members of the International Program Committee, as well as all the organizations and individuals who supported the idea of publishing this volume of proceedings, including SERSC and Springer. Also, the success of the conference would not have been possible without the huge support from our sponsors and the work of the Chairs and Organizing Committee.

Higher education is constantly changing and advancing, and the integration of technology and its transformative potential remains elusive for many universities globally. While other industries have surged forward with digitization, higher education has been slow to completely embrace technology-driven outcomes. Reshaping Entrepreneurial Education Within an Industry 4.0 Context sheds light on the barriers preventing widespread technological adoption and the profound changes that Industry 4.0 brings to education. As the fourth industrial revolution, Industry 4.0, continues to unfold, this book delves into how this phenomenon is reshaping the field of education. This book presents a comprehensive analysis of how digital technology and capabilities are becoming integral to building more flexible and adaptive tertiary education systems in regions like Latin America and the Caribbean. It also highlights the challenges faced by online learning and the urgent need for a fundamental rethinking of higher education to ensure equal access to quality education. This publication addresses a diverse audience, making it an essential resource for students, academicians, and higher education administrators seeking an in-depth understanding of Reshaping Entrepreneurial Education Within an Industry 4.0 Context. For practitioners, it provides valuable insights to enrich their work in the realm of higher education. The book covers a broad spectrum of key themes, including the impact of the 4th industrial revolution on entrepreneurial education, the transformative power of online learning in global universities, and the hurdles faced in adopting digital education. Additionally, the experts behind this research delve into how information and communication technologies (ICTs) are influencing educational policies and teaching methods worldwide, as well as the role of metaverse technologies in designing curricula for entrepreneurial education.

Offering the latest developments in online education in the era of big data, this book explores theories, technologies, and practices in the field of data-driven online learning support services using learning analytics. This book is divided into five chapters. Chapter 1 reflects and reconstructs the connotation of learning support against the backdrop of education reform, the rise of learning analytics, and the upgrading of the demand for learning services in the new era. Chapter 2 presents a P-K-DSE-E model of online learner characteristics and discusses measurement and data representation methods for learner characteristics based on it. Chapters 3–5 focus on the three types of learning support that are closely related to learning performance and satisfaction, including the promotion of social learning, electronic learning assessment based on the learning process, and personalized tutoring and support. This book innovatively develops the concept, theory, and practical methods of student support services in distance education traditional practices in the new era and provides valuable exploration of data-driven personalized learning service methods and technologies in the era of artificial intelligence through rich examples. This book will be essential reading for students and scholars of distance and online education, educational technology, and audiovisual education.

In the complex field of academic scholarship, educators and scholars often encounter the challenge of designing effective learning scenarios that align with various educational objectives. The process involves meticulous planning, consideration of diverse pedagogical approaches, and adapting strategies to different circumstances and situations. The need for innovative solutions in pedagogy has never been more pressing, with topics ranging from instructional design to emerging techno pedagogical practices demanding attention. Academic scholars are yearning for a comprehensive guide that not only dissects the intricacies of these challenges but also offers transformative solutions to navigate the evolving landscape of education. Innovative Instructional Design Methods and Tools for Improved Teaching is a groundbreaking book meticulously crafted to address the pressing issues faced by academic scholars today. This book transcends the conventional boundaries of educational discourse, offering a roadmap for designing learning activities beyond routine exercises. It unveils a comprehensive approach, integrating pedagogical strategies and innovative teaching practices, providing educators with the tools they need to revolutionize their approach to instruction. This book is a solution to the challenges educators face in the contemporary academic landscape, providing a transformative guide for those seeking to excel in the dynamic field of pedagogy.

This publication covers papers presented at AIED2009, part of an ongoing series of biennial international conferences for top quality research in intelligent systems and cognitive science for educational computing applications. The conference provides opportunities for the cross-fertilization of techniques from many fields that make up this interdisciplinary research area, including: artificial intelligence, computer science, cognitive and learning sciences, education, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the many domain-specific areas for which AIED systems have been designed and evaluated. AIED2009 focuses on the theme "Building learning systems that care: from knowledge representation to affective modelling". The key research question is how to tackle the complex issues related to building learning systems that care, ranging from representing knowledge and context to modelling social, cognitive, metacognitive, and affective dimensions. This requires multidisciplinary research that links theory and technology from artificial intelligence, cognitive science, and computer science with theory and practice from education and the social sciences.