In der E-Learning-Domäne bilden sowohl die Lernressourcen, Lehrende und Lernende als auch die stattfindenden Lernprozesse in ihrer Gesamtheit Lernökosysteme. Diese Dissertation untersucht die Modellierung von Lernökosystemen zur Unterstützung ihrer Aggregation und Wiederverwendung. Zur Erreichung dieses Ziels müssen Modelle von Lernökosystemen die Aggregierbarkeit, Austauschbarkeit, Interoperabilität und granulare Wiederverwendbarkeit ihrer Daten unterstützen. Auf Basis durchgeführter Nutzerstudien werden Konzepte digitaler Modelle von Lernökosystemen, sogenannte LOOCs (Linked Open Online Courses), entwickelt. Dabei werden insbesondere Technologien des Semantic Webs sowie Linked-Data-Konzepte betrachtet. Die entwickelten ontologischen Modelle bilden die Basis für mehrere E-Learning-Applikationen, welche die Tragfähigkeit der Konzepte sowie eine hohe Nutzerakzeptanz zeigen. Ferner wird ein formales Interpretermodell für CSCL (Computer-Supported Collaborative Learning) Scripts zur Beschreibung von Lernprozessen, welches mit Hilfe von Abstract State Machines spezifiziert wurde, vorgestellt. In the e-learning domain, the learning resources, teachers and learners and the active learning processes in their entirety construct the learning ecosystems. This thesis examines the modelling of learning ecosystems to support their aggregation and reuse. To achieve this goal, learning ecosystem models must support aggregation, compatibility, interoperability and granular re-usability of their data. Through user studies, digital model concepts of learning ecosystems, i.e. so-called LOOCs (linked open online courses), were developed. In particular, Semantic Web technologies and Linked Data concepts are considered within the context. The developed ontological models form the basis for a number of e-learning applications that show the viability of the concepts as well as a high user acceptance. Further, a formal interpreter model for CSCL (Computer-Supported Collaborative Learning) Scripts for the description of learning processes specified by using Abstract State Machines is presented.

In K-12 classrooms, as well as on the college and university level, the incorporation of digital games has played a vital role in the educational system. While introducing teachers to new fields, these digital games have been designed and implemented for the classroom and have shown positive results at a variety of educational levels. Cases on Digital Game-Based Learning: Methods, Models, and Strategies analyzes the implementation of digital game applications for learning as well as addressing the challenges and pitfalls experienced. Providing strategies, advice and examples on adopting games into teaching, this collection of case studies is essential for teachers and instructors at various school levels in addition to researchers in game-based learning and pedagogic innovation.

Web services provide systems with great flexibility and easier maintenance which result in better ways to communicate and distribute applications. There are good procedures in place for the design, development, and management of Web services; however, there are areas in which Web service adaptation is required. To preserve the loosely coupled approach of Web services, service adaptations should be implemented appropriately. Adaptive Web Services for Modular and Reusable Software Development: Tactics and Solutions includes current research on the area of Web service adaptation while embarking upon the different aspects related to Web services. This collection provides an overview of existing solutions for service adaption in different development scopes as well as covers a wide variety of challenges which emerge. It aims to keep industry professionals as well as academic researchers up to date with the latest research results.

This book constitutes the refereed proceedings of the 23rd IFIP WG 6.1 International Conference on Coordination Models and Language, COORDINATION 2021, held in Valletta, Malta, in June 2021, as part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021. The 15 regular papers, 2 short papers, and 1 tutorial paper presented in this book were carefully reviewed and selected from 31 submissions. COORDINATION provides a well-established forum for the growing community of researchers interested in coordination models and languages, architectures, verification and implementation techniques necessary to cope with the complexity induced by the demands of today's software development. The tool papers describe experience reports, technological artefacts, and innovative prototypes, as well as educational tools in the scope of the research topics of the conference. Due to the Corona pandemic this event was held virtually.

As today’s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering. The book is organized into five main sections: Big Data Management—considers the research issues related to the management of Big Data, including indexing and scalability aspects Big Data Processing—addresses the problem of processing Big Data across a wide range of resource-intensive computational settings Big Data Stream Techniques and Algorithms—explores research issues regarding the management and mining of Big Data in streaming environments Big Data Privacy—focuses on models, techniques, and algorithms for preserving Big Data privacy Big Data Applications—illustrates practical applications of Big Data across several domains, including finance, multimedia tools, biometrics, and satellite Big Data processing Overall, the book reports on state-of-the-art studies and achievements in algorithms, analytics, and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play a leading role in next-generation database, data warehousing, data mining, and cloud computing research. It also explores related applications in diverse sectors, covering technologies for media/data communication, elastic media/data storage, cross-network media/data fusion, and SaaS.

This book provides state-of-the-art e-learning networked environments and architectures carried out over the last few years from a knowledge management perspective. It contains a comprehensive discussion of e-learning concepts, models, experiments and best practices. Presenting a wide-ranging survey of methods and applications from contributors from around the world, this book will be a valuable resource for researchers, practitioners and graduates.

This book constitutes the refereed proceedings of the 18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017, held in Vicenza, Italy, in September 2017. The 68 revised full papers were carefully reviewed and selected from 159 submissions. They provide a comprehensive overview of identified challenges and recent advances in various collaborative network (CN) domains and their applications, with a strong focus on the following areas: collaborative models, platforms and systems for data-rich worlds; manufacturing ecosystem and collaboration in Industry 4.0; big data analytics and intelligence; risk, performance, and uncertainty in collaborative data-rich systems; semantic data/service discovery, retrieval, and composition in a collaborative data-rich world; trust and sustainability analysis in collaborative networks; value creation and social impact of collaboration in data-rich worlds; technology development platforms supporting collaborative systems; collective intelligence and collaboration in advanced/emerging applications: collaborative manufacturing and factories of the future, e-health and care, food and agribusiness, and crisis/disaster management.

"This book offers a collection of the latest research, trends, future developments, and case studies pertaining to collaborative learning"--Provided by publisher.

"This book reviews open and free software used in e-learning, examines the pedagogy behind FOSS and how it is applied to e-learning, and discusses the best practices for FOSS through real world examples, providing guidelines for e-learning designers and instructors who use FOSS"--Provided by publisher.