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Download Learning in Humans and Machines: Towards an Interdisciplinary Learning Science ePub

by P. Reimann,H. Spada,Reimann

Download Learning in Humans and Machines: Towards an Interdisciplinary Learning Science ePub
  • ISBN 0080425690
  • ISBN13 978-0080425696
  • Language English
  • Author P. Reimann,H. Spada,Reimann
  • Publisher Emerald Group Publishing Limited; 1 edition (December 1, 1995)
  • Pages 324
  • Formats azw mobi txt docx
  • Category Different
  • Subcategory Social Sciences
  • Size ePub 1352 kb
  • Size Fb2 1960 kb
  • Rating: 4.2
  • Votes: 502

The book discusses the analysis, comparison and integration of computational approaches to learning and research on human learning. Learning has for some time been an issue of minor importance in the cognitive sciences. It has, however, now become one of the most active research fields in psychology, the neurosciences, and computer science (machine learning). The aim of this book is to provide the reader with an overview of the prolific research on learning throughout the disciplines. The book will not only provide a general overview for those who are new to the field but will also provide specialist knowledge for those who want to learn more about alternative approaches and conceptualizations of learning in other disciplines. The contributing authors are all considered as leading experts in their field and come from the fields of cognitive, computer and educational science. They provide an assessment of the state-of-the-art of research, links between the disciplines, and they highlight the critically important research issues and methodologies, thus providing a basis for future research.

Machine Learning: Case Studies of an Interdisciplinary Approach (W. Emde) Learning to Do and Learning to Understand: A Lesson and a Challenge for Cognitive Modeling (S. Ohlsson).

Machine Learning: Case Studies of an Interdisciplinary Approach (W. Emde). Mental and Physical Artifacts in Cognitive Practices (R. Saljo). Learning Theory and Instructional Science (E. De Corte). oceedings{Spada1995LearningIH, title {Learning in Humans and Machines: Towards an Interdisciplinary Learning Science}, author {Hans Spada and Reimann and Peter Reimann}, year {1995} }. Hans Spada, Reimann, Peter Reimann. Learning to Do and Learning to Understand: A Lesson and a Challenge for Cognitive Modeling (S. Machine Learning: Case Studies of an Interdisciplinary Approach (W.

Similar books and articles. Systematic Minds, Unsystematic Models: Learning Transfer in Humans and Networks. M. T. H. Chi, M. Bassok, M. Lewis, P. Reimann & R. Glaser - 1989 - Cognitive Science 13 (2):145-182. Effective Computation by Humans and Machines. SelfExplanations: How Students Study and Use Examples in Learning to Solve Problems. Michelene T. Chi, Miriam Bassok, Matthew W. Lewis, Peter Reimann & Robert Glaser - 1989 - Cognitive Science 13 (2):145-182. Steven Phillips - 1999 - Minds and Machines 9 (3):383-398.

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The Propensity of a Science-Based Discipline towards Surface Learning Compared to the Arts-A Fresh Look at Two Cultures.

In P. Reimann, & H. Spada (Eds), Learning in Humans and Machines: Towards an Interdisciplinary Learning Science. The Propensity of a Science-Based Discipline towards Surface Learning Compared to the Arts-A Fresh Look at Two Cultures. Warren Lake, William Boyd, Wendy Boyd.

Peter Reimann, Hans Spada. Learning has for some time been an issue of minor importance in the cognitive sciences.

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Welcome to e-content platform of John Benjamins Publishing Company. Peter Reimann and Hans Spada (eds), Learning in Humans and Machines: Towards an Interdisciplinary Learning Science. Affiliations: 1 University of Greenwich. Source: Pragmatics & Cognition, Volume 5, Issue 2, Jan 1997, p. 381 - 382.

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