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This book constitutes the refereed proceedings of the International Workshop on Altmetrics for Research Outputs Measurements and Scholarly Information Management, AROSIM 2018, held in Singapore, in January 2018. The 7 revised full papers presented together with two keynote papers and one introduction paper were carefully reviewed and selected from 20 submissions. The workshop will investigate how social media based metrics along with traditional and non-traditional metrics can advance the state-of-the-art in measuring research outputs.
Melanie Holloway explores a cloud broker offering service level agreement negotiation and monitoring as a service to consumers. She proposes a negotiation mechanism, which enables the achievement of economically efficient agreements, and an approach for reliable consumer side availability monitoring in conjunction with strategies for robust monitor placement. The author addresses the loss of control of consumers over critical aspects, specifically quality of service, when using services from the cloud.Basically, the cloud computing paradigm places the responsibility for resource management on the provider side. Hence, the control over cloud service performance is very limited on the consumer side.
This book constitutes the refereed proceedings of the 21st International Conference on Asia-Pacific Digital Libraries, ICADL 2019, held in Kuala Lumpur, Malaysia, in November 2019. The 13 full, 13 short, and 5 poster papers presented in this volume were carefully reviewed and selected from 54 submissions. The papers were organized in topical sections named: text classification; altmetrics; scholarly data analysis and recommendation; metadata and entities; digital libraries and digital archives management; multimedia processing; search engines; information extraction; and posters.
This book constitutes the refereed proceedings of the 20th International Conference on Asia-Pacific Digital Libraries, ICADL 2018, held in Hamilton, New Zealand, in November 2018. The 20 full, 6 short, and 11 work in progress papers presented in this volume were carefully reviewed and selected from 77 submissions. The papers were organized in topical sections named: topic modeling and semantic analysis; social media, web, and news; heritage and localization; user experience; digital library technology; and use cases and digital librarianship.
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years. Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices. Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.
The seventh edition of this frequently adopted textbook features new or expanded sections on social justice research, data analysis software, scholarly identity research, social networking, data science, and data visualization, among other topics. It continues to include discipline experts' voices. The revised seventh edition of this popular text provides instruction and guidance for professionals and students in library and information science who want to conduct research and publish findings, as well as for practicing professionals who want a broad overview of the current literature. Providing a broad introduction to research design, the authors include principles, data collection techniqu...
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.
This book gives an overview of the state-of-the-art in Technology Enhanced Learning (TEL). It is organized as a collection of 14 research themes, each introduced by leading experts and including references to the most relevant literature on the theme of each cluster. Additionally, each chapter discusses four seminal papers on the theme with expert commentaries and updates. This volume is of high value to people entering the field of learning with technology, to doctoral students and researchers exploring the breadth of TEL, and to experienced researchers wanting to keep up with latest developments.