SHORTLISTED: Business Book Awards 2023 - International Business Book Building and sustaining an organization which is nimble, adaptable, resilient and future proof is both complex and urgent. Only those with flexible and innovative Learnscapes will succeed. Learning Ecosystems explains how organizations evolve into LearnScapes where learning techniques are aligned with continuous interaction with the ecosystem they are part of. It explains how to upskill and reskill a workforce continuously in an increasingly collaborative and tech-enabled world. Full of practical guidance and strategic advice, this book covers how to take a lifelong approach to learning in the organization and the core competencies needed for this. It explains what to do when building a value and data-driven learning strategy and discusses the symbiosis of people and technology. This book explores lean learning, data analytics, learning technologies including artificial intelligence (AI) and the ethics of using these technologies. There is also crucial guidance on how to take a human-centric approach to innovation. Learning Ecosystems demonstrates the value of continuous improvement and offers techniques for a variety of situations including problem analyses, experimentation and algorithmic business thinking. Most importantly, it provides guidance on how to build a learning culture and a learning ecosystem throughout the company. Supported by case studies from companies including Etihad Airways, ING, ESF and FEDEX, this is essential reading from a leading learning innovator who has helped global organizations to rethink their learning strategies to achieve sustained business growth.

Learning ecosystems bring people together with technology, content, and data for continuous employee learning and growth. They are especially important during times when innovation and creativity are needed. In this issue of TD at Work, Becky Willis details why you need to consider a learning ecosystem today. Further, she: • Explains the four main components of learning ecosystems and the various technological aspects • Gives tips for selecting and evaluating system components • Advises how to implement a digital learning strategy Tools & Resources in this issue are a learning ecosystem strengths and weaknesses chart, learning ecosystem selection questionnaire, and learning platform evaluation checklist.

This open-access book is based on the observation that learning ecosystems are increasingly established in higher education institutions. However, an important aspect that is still missing is their interconnectedness. Consequently, the book intends to close this gap by introducing the concept of a distributed learning ecosystem (DLE). A DLE follows the idea of establishing an interlinkage between decentralised learning ecosystems (consisting of content repositories and educational resources) and thus serves as an integrated approach that enables learners to access and use learning content and share resources.

The book brings together the contributions of the 7th International Conference on Smart Learning Ecosystems and Regional Development (SLERD 2022), which aims at promoting reflection and discussion concerning R&D work, policies, case studies, and entrepreneur experiences with a special focus on understanding the relevance of smart learning ecosystems (e.g., schools, campus, working places, informal learning contexts, etc.) for regional development and social innovation and how the effectiveness of the relation of citizens and smart ecosystems can be boosted. This forum has a special interest in understanding how technology mediated instruments can foster the citizen’s engagement with learning ecosystems and territories, namely by understanding innovative human-centric design and development models/techniques, education/training practices, informal social learning, innovative citizen-driven policies, technology mediated experiences, and their impact. This set of concerns will contribute to foster the social innovation sectors and ICT and economic development and deployment strategies alongside new policies for smarter proactive citizens.

The two-volume set LNCS 10295 and 10296 constitute the refereed proceedings of the 4th International Conference on Learning and Collaboration Technologies, LCT 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCII 2017, in Vancouver, BC, Canada, in July 2017, in conjunction with 15 thematically similar conferences. The 1228 papers presented at the HCII 2017 conferences were carefully reviewed and selected from 4340 submissions. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The papers included in this volume are organized in the following topical sections: multimodal and natural interaction for learning; learning and teaching ecosystems; e-learning, social media and MOOCs; beyond the classroom; and games and gamification for learning.

This book presents papers from the 5th International Conference on Smart Learning Ecosystems and Regional Development, which promotes discussions on R&D work, policies, case studies, entrepreneur experiences, with a particular focus on understanding the relevance of smart learning ecosystems for regional development and social innovation, and how the effectiveness of the relation of citizens and smart ecosystems can be boosted. The book explores how technology-mediated instruments can foster citizens’ engagement with learning ecosystems and territories, providing insights into innovative human-centric design and development models/techniques, education/training practices, informal social learning, innovative citizen-driven policies, and technology-mediated experiences and their impact. As such, it will inspire the social innovation sectors and ICT, as well as economic development and deployment strategies and new policies for smarter proactive citizens.

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.