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Recommender Systems for Learning
Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.
Transforming Learning with Meaningful Technologies
This book constitutes the proceedings of the 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, held in Delft, The Netherlands, in September 2019. The 41 research papers and 50 demo and poster papers presented in this volume were carefully reviewed and selected from 149 submissions. The contributions reflect the debate around the role of and challenges for cutting-edge 21st century meaningful technologies and advances such as artificial intelligence and robots, augmented reality and ubiquitous computing technologies and at the same time connecting them to different pedagogical approaches, types of learning settings, and application domains that can benefit from such technologies.
Cultivating a Culture of Experimentation in Higher-education Teaching and Learning
As indicated by the diversity of the authors' physical locations, COVID and emergency-remote teaching affected Higher-Education-Institutions at a nearly global scale. Authors in this issue come from European countries (Switzerland, Germany), North America (the USA) as well as the southern hemisphere (South Africa). Given the breadth of COVID-related (change) experiences, the insights presented in this issue can be relevant to many HEIs across the globe, notwithstanding their cultural and institutional specificities. In addition, and of high relevance to us, the articles collected here focus both on different positions or roles (students, faculty, management) as well as on different levels of teaching and learning in higher education. While most contributions focus on the student experience during COVID, others investigate faculty/instructors' perspectives including faculty development. Yet another group takes a more systemic, institutional point of view. It could be argued that higher-education research takes up a multi-level perspective when exploring change and the new normal.
Computational Social Networks
This book is the third of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review Tools, Perspectives, and Applications, and Security and Privacy in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.
Recommender Systems Handbook
The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments. Recommender Systems Handbook, an edited volume, is a multi-...
Learning Network Services for Professional Development
A "Learning Network" is a community of people who help each other to better understand and handle certain events and concepts in work or life. As a result – and sometimes also as an aim – participating in learning networks stimulates personal development, a better understanding of concepts and events, career development, and employability. "Learning Network Services" are Web services that are designed to facilitate the creation of distributed Learning Networks and to support the participants with various functions for knowledge exchange, social interaction, assessment and competence development in an effective way. The book presents state-of-the-art insights into the field of Learning Networks and Web-based services which can facilitate all kinds of processes within these networks.
Disseminating Jewish Literatures
The multilingualism and polyphony of Jewish literary writing across the globe demands a collaborative, comparative, and interdisciplinary investigation into questions regarding methods of researching and teaching literatures. Disseminating Jewish Literatures compiles case studies that represent a broad range of epistemological and textual approaches to the curricula and research programs of literature departments in Europe, Israel, and the United States. In doing so, it promotes the integration of Jewish literatures into national philologies and the implementation of comparative, transnational approaches to the reading, teaching, and researching of literatures. Instead of a dichotomizing app...
Sustaining TEL: From Innovation to Learning and Practice
This book constitutes the refereed proceedings of the 5th European Conference on Technology Enhanced Learning, EC-TEL 2010, held in Barcelona, Spain, in September/October 2010. The 24 revised full papers presented were carefully reviewed and selected from 150 submissions. The book also includes 10 short papers, 26 poster papers, 7 demonstration papers and one 1 invited paper.
Artificial Intelligence in Education
This two-volume set LNAI 12163 and 12164 constitutes the refereed proceedings of the 21th International Conference on Artificial Intelligence in Education, AIED 2020, held in Ifrane, Morocco, in July 2020.* The 49 full papers presented together with 66 short, 4 industry & innovation, 4 doctoral consortium, and 4 workshop papers were carefully reviewed and selected from 214 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas. *The conference was held virtually due to the COVID-19 pandemic.
