Published 2012
by Information Science Reference in Hershey PA .
Written in English
Edition Notes
Includes bibliographical references and index.
| Statement | Alexandra Lilavati Pereira Okada, Teresa Connolly, and Peter J. Scott, editors |
| Classifications | |
|---|---|
| LC Classifications | LB1032 .C563 2012 |
| The Physical Object | |
| Pagination | p. cm. |
| ID Numbers | |
| Open Library | OL25177570M |
| ISBN 10 | 9781466603004, 9781466603011, 9781466603028 |
| LC Control Number | 2011052549 |
Get this from a library! Collaborative learning open educational resources. [Alexandra Okada; Teresa Connolly; Peter J Scott;] -- "This book offers a collection of the latest research, trends, future developments, and case studies pertaining to collaborative learning"--Provided by publisher. Collaborative Learning Open Educational Resources offers a collection of the latest research, trends, future development, and case studies within the field. Without solid theoretical foundation and precise guidelines on how to use OER and Web for collaborative learning, it would certainly be very difficult to obtain all the benefits that these "user-generated content, resources and tools" promise. Chromebooks = Collaborative Learning Help me give my students two Chromebooks to develop and support our collaborative learning community! My Students. Junior and senior year students are at a pivotal moment in their academic lives. They are getting ready to move from high school into a college or career experience and this can be. Web Technology for Problem-Based and Collaborative Learning: A Case Study: /ch Collaborative problem-based learning (PBL) has a well established history within medical and health care education. Undergraduate nursing students at theCited by: 1.
An updated edition of the bestselling guide to thirty-five creative assignments for pairs and groups. Now in its second edition, the bestselling Collaborative Learning Techniques reflects the changed world of higher education and offers college and university faculty a definitive guide for making the most of small group learning. In this new edition, the authors include ideas for using games Reviews: Collaborative learning is broadly defined as “a situation in which two or more people learn or attempt to learn something together,” and more specifically as joint problem solving (Dillenbourg, , p. 1). Before we share some non-tech ways to use collaboration in writing -- apart from its more common usages in the classroom like think-write-pair-share -- we want to distinguish collaborative learning from cooperative collaborative writing, students would do their own thinking and writing first and then connect with others to provide and receive feedback for improvement. Collaborative learning is a situation in which two or more people learn or attempt to learn something together. Unlike individual learning, people engaged in collaborative learning capitalize on one another's resources and skills (asking one another for information, evaluating one another's ideas, monitoring one another's work, etc.).
This review article outlines benefits of learning in collaboration style, begins with the concept of the term and continues with the advantages created by collaborative methods. This paper sets out major benefits of collaborative learning into four categories of; social, psychological, academic, and assessment benefits. The book, Learning in 3D: Adding a New Dimension to Enterprise Learning and Collaboration is about using 3D virtual immersive environments for learning and collaboration. Learn more about the book here. One idea is the blog book tour Tags: 3D Book 3D worlds book. Current advances and convergence trends in Web have changed the way we communicate and collaborate, and as a result, user-controlled communities and user-generated content through Web are expected to play an important role for collaborative learning. Collaborative Learning Open Educational Resources offers a collection of the latest research, trends, future development, and case. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can.
