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How Learning Works
  • Language: en
  • Pages: 336

How Learning Works

Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I hav...

How Learning Works
  • Language: en
  • Pages: 345

How Learning Works

Apply these eight learning principles for more effective teaching As educators in the ever-evolving landscape of higher education, we are continuously challenged to keep our courses effective, engaging, relevant, and inclusive. The updated and expanded second edition of How Learning Works can help! It incorporates the latest research, provides a wider range of strategies, and adds a new principle to your toolkit. Readers will find eight essential learning principles that distill the overwhelming research literature into: Real-world teaching and learning scenarios Examples that reflect a diverse set of teaching environments and learner populations 150 practical strategies you can apply to your teaching context With these practical, broadly applicable insights, you can: Understand why your successful teaching approaches work Solve common teaching and learning problems Adapt your teaching to new modalities (e.g., online, hybrid) and challenges Ground your innovations in evidence-based practice Based on research from cognitive psychology, developmental psychology, education, anthropology, and more—this book makes learning work…for you and your students.

Thinking with Data
  • Language: en
  • Pages: 474

Thinking with Data

First Published in 2007. Routledge is an imprint of Taylor & Francis, an informa company.

Thinking With Data
  • Language: en
  • Pages: 488

Thinking With Data

The chapters in Thinking With Data are based on presentations given at the 33rd Carnegie Symposium on Cognition. The Symposium was motivated by the confluence of three emerging trends: (1) the increasing need for people to think effectively with data at work, at school, and in everyday life, (2) the expanding technologies available to support people as they think with data, and (3) the growing scientific interest in understanding how people think with data. What is thinking with data? It is the set of cognitive processes used to identify, integrate, and communicate the information present in complex numerical, categorical, and graphical data. This book offers a multidisciplinary presentation...

Stevens' Handbook of Experimental Psychology, Memory and Cognitive Processes
  • Language: en
  • Pages: 658

Stevens' Handbook of Experimental Psychology, Memory and Cognitive Processes

Now available in paperback. This revised and updated edition of the definitive resource for experimental psychology offers comprehensive coverage of the latest findings in the field, as well as the most recent contributions in methodology and the explosion of research in neuroscience. Volume Two: Memory and Cognitive Processes, focuses on the neurological and cognitive processes on topics such as memory, decision-making, spatial cognition, linguistics, reasoning, and concepts.

Learning through Collaboration in Self-Study
  • Language: en
  • Pages: 321

Learning through Collaboration in Self-Study

Self-study is inherently collaborative. Such collaboration provides transparency, validity, rigor and trustworthiness in conducting self-study. However, the ways in which these collaborations are enacted have not been sufficiently addressed in the self-study literature. This book addresses these gaps in the literature by placing critical friendship, collaborative self-study and community of practice at the forefront of the self-study of teaching. It highlights these forms of collaboration, how the collaboration was developed and enacted, the challenges and tensions that existed in the collaboration, and how practice and identity developed through the use of these forms of collaboration. The chapters serve as exemplars of enacting these forms of collaboration and provide researchers with an additional base of literature to draw upon in their scholarly writing, teaching of self-study, and their enactment of collaborative self-study spaces.

Cooperative Learning in Higher Education
  • Language: en
  • Pages: 209

Cooperative Learning in Higher Education

Research has identified cooperative learning as one of the ten High Impact Practices that improve student learning. If you’ve been interested in cooperative learning, but wondered how it would work in your discipline, this book provides the necessary theory, and a wide range of concrete examples.Experienced users of cooperative learning demonstrate how they use it in settings as varied as a developmental mathematics course at a community college, and graduate courses in history and the sciences, and how it works in small and large classes, as well as in hybrid and online environments. The authors describe the application of cooperative learning in biology, economics, educational psychology...

Sixth International Conference on Cognitive Modeling
  • Language: en
  • Pages: 437

Sixth International Conference on Cognitive Modeling

The International Conference on Cognitive Modeling brings together researchers who develop computational models to explain and predict cognitive data. The core theme of the 2004 conference was "Integrating Computational Models," encompassing an integration of diverse data through models of coherent phenomena; integration across modeling approaches; and integration of teaching and modeling. This text presents the proceedings of that conference. The International Conference on Cognitive Modeling 2004 sought to grow the discipline of computational cognitive modeling by providing a sophisticated modeling audience for cutting-edge researchers, in addition to offering a forum for integrating insights across alternative modeling approaches in both basic research and applied settings, and a venue for planning the future growth of the discipline. The meeting included a careful peer-review process of 6-page paper submissions; poster-abstracts to include late-breaking work in the area; prizes for best papers; a doctoral consortium; and competitive modeling symposia that compare and contrast different approaches to the same phenomena.

Putting Assessment for Learning Into Practice
  • Language: en
  • Pages: 127

Putting Assessment for Learning Into Practice

  • Type: Book
  • -
  • Published: 2009-07-15
  • -
  • Publisher: A&C Black

Effective assessment is central to the functioning of all schools and this resource from David Spendlove offers guidance for driving student attainment and progress through the Assessment for Learning initiative.

Blockchain in Action
  • Language: en
  • Pages: 350

Blockchain in Action

There’s a lot more to the blockchain than mining Bitcoin. This secure system for registering and verifying ownership and identity is perfect for supply chain logistics, health records, and other sensitive data management tasks. Blockchain in Action unlocks the full potential of this revolutionary technology, showing you how to build your own decentralized apps for secure applications including digital democracy, private auctions, and electronic record management. Summary There’s a lot more to the blockchain than mining Bitcoin. This secure system for registering and verifying ownership and identity is perfect for supply chain logistics, health records, and other sensitive data management...