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Farmland preservation : land for future generations
\"As land is lost to urban sprawl and other non-farm activity, our ability to produce food is diminished and options for future food production are limited. Farmland preservation speaks to the need to preserve the agricultural land base for future generations. The need for protection is driven by uncertainty caused by climate change, population growth, food security, energy availability, and other local and global factors. This uncertainty means that there is an ever-growing responsibility to ensure that the actions of today do not compromise the needs of future generations. This second edition of \"Farmland Preservation\" provides a range of views and case studies from across Canada, the United States, and beyond. Its fourteen essays are intended to help the reader understand the importance of the issue and the potential for applying new approaches to agricultural protection, policy tools, and initiatives.\"-- Provided by publisher.
Book
Information Users and Usability in the Digital Age
Information users and usability constitute the main building blocks of today's electronic information world. This important new text is the first to give a holistic overview of all of the necessary issues relating to information users and the usability of information services in the digital world, including user-centred design, and the characteristics and behaviour of information users. This book helps readers understand why information users and the usability of information services are important and equips them to play a proper role in designing user-centred information systems and services and to properly exploit information services for the maximum benefit of users. It covers all of the major issues, the current situation and what the various research studies from around the world show. It includes chapters, covering: information users; human information behaviour; usability of information systems and services; usability: internet and web information services; usability: digital libraries and information services; barriers to information access and usability; the digital divide and social inclusion; the digital divide and usability of digital information services: the global perspectives; and, current issues and trends. It is an essential reading for researchers and practitioners interested in the design and evaluation of digital information systems and services, as well as for students on library, information, and digital library courses.
eBook
Engaging your Community through Active Strategic Marketing
This book provides an overview of best practice strategic marketing with advice on how to implement effective marketing activities in libraries and information services with the best chance of success.
eBook
A New Method for Estimation of Resource Selection Probability Function
Weighted distributions can be used to fit various forms of resource selection probability functions (RSPF) under the use-versus-available study design (Lele and Keim 2006). Although valid, the numerical maximization procedure used by Lele and Keim (2006) is unstable because of the inherent roughness of the Monte Carlo likelihood function. We used a combination of the methods of partial likelihood and data cloning to obtain maximum likelihood estimators of the RSPF in a numerically stable fashion. We demonstrated the methodology using simulated data sets generated under the log–log RSPF model and a reanalysis of telemetry data presented in Lele and Keim (2006) using the logistic RSPF model. The new method for estimation of RSPF can be used to understand differential selection of resources by animals, an essential component of studies in conservation biology, wildlife management, and applied ecology.
Journal Article
Lessons for climate change adaptation from better management of rivers
Climate change is dramatically affecting freshwater supplies, particularly in the developing world. The papers in this volume present a powerful case for and exploration of different freshwater adaptation strategies in the face of global climatic change.
Book
Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic
The provision and usage of online and e-learning system is becoming the main challenge for many universities during COVID-19 pandemic. E-learning system such as Blackboard has several fantastic features that would be valuable for use during this COVID-19 pandemic. However, the successful usage of e-learning system relies on understanding the adoption factors as well as the main challenges that face the current e-learning systems. There is lack of agreement about the critical challenges and factors that shape the successful usage of e-learning system during COVID-19 pandemic; hence, a clear gap has been identified in the knowledge on the critical challenges and factors of e-learning usage during this pandemic. Therefore, this study aims to explore the critical challenges that face the current e-learning systems and investigate the main factors that support the usage of e-learning system during COVID-19 pandemic. This study employed the interview method using thematic analysis through NVivo software. The interview was conducted with 30 students and 31 experts in e-learning systems at six universities from Jordan and Saudi Arabia. The findings of this study offer useful suggestions for policy-makers, designers, developers and researchers, which will enable them to get better acquainted with the key aspects of the e-learning system usage successfully during COVID-19 pandemic.
Journal Article
Teaching Analytics: A Clustering and Triangulation Study of Digital Library User Data
Teachers and students increasingly enjoy unprecedented access to abundant web resources and digital libraries to enhance and enrich their classroom experiences. However, due to the distributed nature of such systems, conventional educational research methods, such as surveys and observations, provide only limited snapshots. In addition, educational data mining, as an emergent research approach, has seldom been used to explore teachers' online behaviors when using digital libraries. Building upon results from a preliminary study, this article presents results from a clustering study of teachers' usage patterns while using an educational digital library tool, called the Instructional Architect. The clustering approach employed a robust statistical model called latent class analysis. In addition, frequent itemsets mining was used to clean and extract common patterns from the clusters initially generated. The final clusters identified three groups of teachers in the IA: key brokers, insular classroom practitioners, and inactive islanders. Identified clusters were triangulated with data collected in teachers' registration profiles. Results showed that increased teaching experience and comfort with technology were related to teachers' effectiveness in using the IA.
Journal Article