This comprehensive manual covers all aspects required by Module 1 ECDL/ICDL Syllabus 4.0. Designed to gradually build up your knowledge taking a step by step, exercise based approach. The ideal training solution, whether you are a beginner, or if you just need to fill gaps in your existing knowledge. Module 1 gives an insight into hardware and software as well as giving examples of how computers are used every day.Approved by the ECDL Foundation.
Takes students through a series of tasks which they can complete at their own speed to build up their skills. This book covers eight units of New CLAIT 2006, helping students to learn the skills needed through a number of tasks and simple instructions. It works in conjunction with Office 2003.
This A4 spiral bound manual has been specifically designed to provide the necessary knowledge and techniques for the successful creation and manipulation of an Access database. The accompanying data files on CD are designed to help demonstrate the features you are learning as you work through the manual using a step-by-step approach.
Librarians must now work at a different level from that required 20 years ago, but the training available is not always appropriate or accessible to all. The authors of this volume have responded to this significant and continuing change within the profession by offering a much-needed guide to best practice for staff training and development in library and information work. This handbook addresses new aspects of service provision both in the UK and abroad, and provides an up-to-date review of the current developments that are becoming increasingly important to librarians through the influence of the electronic age and the widening of areas of professional involvement. The Handbook of Library Training Practice and Development will be invaluable to those responsible for the development of staff and line managers as well as providing a crucial insight into the information profession for anyone new to this career path or looking to develop their knowledge within it.
This book aims to provide an overview of theoretical and practical considerations in terms of self-directed multimodal learning within the university context. Multimodal learning is approached in terms of the levels of multimodality and specifically blended learning and the mixing of modes of delivery (contact and distance education). As such, this publication will provide a unique snapshot of multimodal practices within higher education through a self-directed learning epistemological lens. The book covers issues such as what self-directed multimodal learning entails, mapping of specific publications regarding blended learning, blended learning in mathematics, geography, natural science and computer literacy, comparative experiences in distance education as well as situated and culturally appropriate learning in multimodal contexts. This book provides a unique focus on multimodality in terms of learning and delivery within the context of self-directed learning. Therefore, the publication would not only advance the scholarship of blended and open distance learning in South Africa, but also the contribute to enriching the discourse regarding self-direction. From this book readers will get an impression of the latest trends in literature in terms of multimodal self-directed learning in South Africa as well as unique empirical work being done in this regard.
CyberResearch on the Ancient Near East and Neighboring Regions is now available on PaperHive! PaperHive is a new free web service that offers a platform to authors and readers to collaborate and discuss, using already published research. Please visit the platform to join the conversation. CyberResearch on the Ancient Near East and Neighboring Regions provides case studies on archaeology, objects, cuneiform texts, and online publishing, digital archiving, and preservation. Eleven chapters present a rich array of material, spanning the fifth through the first millennium BCE, from Anatolia, the Levant, Mesopotamia, and Iran. Customized cyber- and general glossaries support readers who lack either a technical background or familiarity with the ancient cultures. Edited by Vanessa Bigot Juloux, Amy Rebecca Gansell, and Alessandro Di Ludovico, this volume is dedicated to broadening the understanding and accessibility of digital humanities tools, methodologies, and results to Ancient Near Eastern Studies. Ultimately, this book provides a model for introducing cyber-studies to the mainstream of humanities research.
This book constitutes the refereed proceedings of the 15th International Conference on Text, Speech and Dialogue, TSD 2012, held in Brno, Czech Republic, in September 2012. The 82 papers presented together with 2 invited talks were carefully reviewed and selected from 173 submissions. The papers are organized in topical sections on corpora and language resources, speech recognition, tagging, classification and parsing of text and speech, speech and spoken language generation, semantic processing of text and speech, integrating applications of text and speech processing, machine translation, automatic dialogue systems, multimodal techniques and modeling.
"This book presents international practices in the development and use of applied e-Learning and e-Teaching in the classroom in order to enhance student experience, add value to teaching practices, and illuminate best practices in the area of e-Assessment. This book provides insight into e-Learning and e-Teaching practices while exploring the roles of academic staff in adoption and application"--Provided by publisher.
This engaging book sheds light on the ways in which adults in the twenty-first century interact with technology in different learning environments. Based on one of the first large-scale academic research projects in this area, the authors present their findings and offer practical recommendations for the use of new technology in a learning society. They invite debate on: why ICTs are believed to be capable of affecting positive change in adult learning the drawbacks and limits of ICT in adult education what makes a lifelong learner the wider social, economic, cultural and political realities of the information age and the learning society. Adult Learning addresses key questions and provides a sound empirical foundation to the existing debate, highlighting the complex realities of the learning society and e-learning rhetoric. It tells the story of those who are excluded from the learning society, and offers a set of strong recommendations for practitioners, policy-makers, and politicians, as well as researchers and students.
As online information grows dramatically, search engines such as Google are playing a more and more important role in our lives. Critical to all search engines is the problem of designing an effective retrieval model that can rank documents accurately for a given query. This has been a central research problem in information retrieval for several decades. In the past ten years, a new generation of retrieval models, often referred to as statistical language models, has been successfully applied to solve many different information retrieval problems. Compared with the traditional models such as the vector space model, these new models have a more sound statistical foundation and can leverage statistical estimation to optimize retrieval parameters. They can also be more easily adapted to model non-traditional and complex retrieval problems. Empirically, they tend to achieve comparable or better performance than a traditional model with less effort on parameter tuning. This book systematically reviews the large body of literature on applying statistical language models to information retrieval with an emphasis on the underlying principles, empirically effective language models, and language models developed for non-traditional retrieval tasks. All the relevant literature has been synthesized to make it easy for a reader to digest the research progress achieved so far and see the frontier of research in this area. The book also offers practitioners an informative introduction to a set of practically useful language models that can effectively solve a variety of retrieval problems. No prior knowledge about information retrieval is required, but some basic knowledge about probability and statistics would be useful for fully digesting all the details. Table of Contents: Introduction / Overview of Information Retrieval Models / Simple Query Likelihood Retrieval Model / Complex Query Likelihood Model / Probabilistic Distance Retrieval Model / Language Models for Special Retrieval Tasks / Language Models for Latent Topic Analysis / Conclusions
