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Essence of Top Tasks is a prioritized list of what matters most to customers. You then continuously improve these top tasks based on evidence of customers trying to complete them. Developed as a result of 15 years of research and practice. Implemented by some of the world's largest organizations: Cisco, Microsoft, NetApp, IBM, Google, European Union, Toyota, Tetra Pak, and hundreds more. More than 300,000 customers have participated in Top Tasks studies in over 40 countries and 30 languages.
An in-depth examination of intervention strategies suitable for common problems encountered by clinical social workers: difficulties of families and children, anxiety, depression, alcohol abuse, inadequate resources, and psychosocial problems associated with mental and physical illness.
The book Lifehack calls "The Bible of business and personal productivity." "A completely revised and updated edition of the blockbuster bestseller from 'the personal productivity guru'"—Fast Company Since it was first published almost fifteen years ago, David Allen’s Getting Things Done has become one of the most influential business books of its era, and the ultimate book on personal organization. “GTD” is now shorthand for an entire way of approaching professional and personal tasks, and has spawned an entire culture of websites, organizational tools, seminars, and offshoots. Allen has rewritten the book from start to finish, tweaking his classic text with important perspectives on the new workplace, and adding material that will make the book fresh and relevant for years to come. This new edition of Getting Things Done will be welcomed not only by its hundreds of thousands of existing fans but also by a whole new generation eager to adopt its proven principles.
Over the past thirty years, the field of language learning strategies has generated a massive amount of interest and research in applied linguistics. Teaching and Researching Language Learning Strategies redraws the landscape of language learning strategies at just the right time. In this book Rebecca Oxford charts the field systematically and coherently for the benefit of language learning practitioners, students, and researchers. Offering practical, innovative suggestions for assessing, teaching, and researching language learning strategies, she provides examples of strategies and tactics from all levels, from beginners to distinguished-level learners, as well as a new taxonomy of strategies for language learning. In demonstrating why self-regulated learning strategies are necessary for language proficiency, Oxford integrates socio-cultural, cognitive, and affective dimensions, and argues convincingly for the need for conceptual cross-fertilization. Providing clear and concise explanations of the advantages and limitations of the different approaches, this book is full of practical value and theoretical insights. The book is designed to guide the reader with the use of a range of features, including: key quotes and concept boxes preview questions and chapter overviews glossary and end-of-chapter further readings sources and resources section
Now in its second edition, Teaching and Researching Language Learning Strategies: Self-Regulation in Context charts the field systematically and coherently for the benefit of language learning practitioners, students, and researchers. This volume carries on the author's tradition of linking theoretical insights with readability and practical utility and offers an enhanced Strategic Self-Regulation Model. It is enriched by many new features, such as the first-ever major content analysis of published learning strategy definitions, leading to a long-awaited, encompassing strategy definition that, to a significant degree, brings order out of chaos in the strategy field. Rebecca L. Oxford provides an intensive discussion of self-regulation, agency, and related factors as the "soul of learning strategies." She ushers the strategy field into the twenty-first century with the first in-depth treatment of strategies and complexity theory. A major section is devoted to applications of learning strategies in all language skill areas and in grammar and vocabulary. The last chapter presents innovations for strategy instruction, such as ways to deepen and differentiate strategy instruction to meet individual needs; a useful, scenario-based emotion regulation questionnaire; insights on new research methods; and results of two strategy instruction meta-analyses. This revised edition includes in-depth questions, tasks, and projects for readers in every chapter. This is the ideal textbook for upper-level undergraduate and graduate courses in TESOL, ELT, education, linguistics, and psychology.
Modelling for Business Improvement contains the proceedings of the First International Conference on Process Modelling and Process Management (MMEP 2010) held in Cambridge, England, in March 2010. It contains contributions from an international group of leading researchers in the fields of process modelling and process management. This conference will showcase recent trends in the modelling and management of engineering processes, explore potential synergies between different modelling approaches, gather and discuss future challenges for the management of engineering processes and discuss future research areas and topics. Modelling for Business Improvement is divided into three main parts: 1. Theoretical foundation of modelling and management of engineering processes, and achievements in theory. 2. Experiences from management practice using various modelling methods and tools, and their future challenges. 3. New perspectives on modelling methods, techniques and tools.
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This innovative book examines the relationship between foreign (L2) language acquisition and task-based learning from an output perspective, with a concentration on the learner's discourse and retrospection. Author Cynthia Lee explores this issue in an experimental context; with particular reference to Hong Kong Chinese tertiary learners of English. Lee's study contributes to research on L2 acquisition and casts light on task-based learning and pedagogy in Hong Kong classrooms and beyond. English language teaching practitioners, researchers, and applied linguists will find special value in this book.
Experts from a range of disciplines explore how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. Humans are not limited to a fixed set of innate or preprogrammed tasks. We learn quickly through language and other forms of natural interaction, and we improve our performance and teach others what we have learned. Understanding the mechanisms that underlie the acquisition of new tasks through natural interaction is an ongoing challenge. Advances in artificial intelligence, cognitive science, and robotics are leading us to future systems with human-like capabilities. A huge gap exists, however, between the highly specialized niche capabilities of current machine learning systems and the generality, flexibility, and in situ robustness of human instruction and learning. Drawing on expertise from multiple disciplines, this Strüngmann Forum Report explores how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. The contributors consider functional knowledge requirements, the ontology of interactive task learning, and the representation of task knowledge at multiple levels of abstraction. They explore natural forms of interactions among humans as well as the use of interaction to teach robots and software agents new tasks in complex, dynamic environments. They discuss research challenges and opportunities, including ethical considerations, and make proposals to further understanding of interactive task learning and create new capabilities in assistive robotics, healthcare, education, training, and gaming. Contributors Tony Belpaeme, Katrien Beuls, Maya Cakmak, Joyce Y. Chai, Franklin Chang, Ropafadzo Denga, Marc Destefano, Mark d'Inverno, Kenneth D. Forbus, Simon Garrod, Kevin A. Gluck, Wayne D. Gray, James Kirk, Kenneth R. Koedinger, Parisa Kordjamshidi, John E. Laird, Christian Lebiere, Stephen C. Levinson, Elena Lieven, John K. Lindstedt, Aaron Mininger, Tom Mitchell, Shiwali Mohan, Ana Paiva, Katerina Pastra, Peter Pirolli, Roussell Rahman, Charles Rich, Katharina J. Rohlfing, Paul S. Rosenbloom, Nele Russwinkel, Dario D. Salvucci, Matthew-Donald D. Sangster, Matthias Scheutz, Julie A. Shah, Candace L. Sidner, Catherine Sibert, Michael Spranger, Luc Steels, Suzanne Stevenson, Terrence C. Stewart, Arthur Still, Andrea Stocco, Niels Taatgen, Andrea L. Thomaz, J. Gregory Trafton, Han L. J. van der Maas, Paul Van Eecke, Kurt VanLehn, Anna-Lisa Vollmer, Janet Wiles, Robert E. Wray III, Matthew Yee-King
This is the fourth volume in a series of books dedicated to basic research in spatial cognition. Spatial cognition is a field that investigates the connection between the physical spatial world and the mental world. Philosophers and researchers have p- posed various views concerning the relation between the physical and the mental worlds: Plato considered pure concepts of thought as separate from their physical manifestations while Aristotle considered the physical and the mental realms as two aspects of the same substance. Descartes, a dualist, discussed the interaction between body and soul through an interface organ and thus introduced a functional view that presented a challenge for the natural sciences and the humanities. In modern psych- ogy, the relation between the physical and the cognitive space has been investigated using thorough experiments, and in artificial intelligence we have seen views as diverse as ‘problems can be solved on a representation of the world’ and ‘a representation of the world is not necessary. ’ Today’s spatial cognition work establishes a correspondence between the mental and the physical worlds by studying and exploiting their interaction; it investigates how mental space and spatial “reality” join together in understanding the world and in interacting with it. The physical and representational aspects are equally important in this work. Almost all topics of cognitive science manifest themselves in spatial cognition.