ISBN-10:
0521711215
ISBN-13:
9780521711210
Pub. Date:
12/31/2007
Publisher:
Cambridge University Press
Applied Intelligence

Applied Intelligence

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Product Details

ISBN-13: 9780521711210
Publisher: Cambridge University Press
Publication date: 12/31/2007
Edition description: New Edition
Pages: 432
Product dimensions: 6.97(w) x 9.96(h) x 0.94(d)

About the Author

Robert J. Sternberg is Dean of the School of Arts and Sciences and Professor of Psychology at Tufts University. Prior to being at Tufts, he was IBM Professor of Psychology and Education, Professor of Management in the School of Management, and Director of the Center for the Psychology of Abilities, Competencies, and Expertise at Yale University. This center, now relocated to Tufts, is dedicated to the advancement of theory, research, practice, and policy advancing the notion of intelligence as developing expertise, as a construct that is modifiable and capable, to some extent, of development throughout the lifespan. The Center seeks to have an impact on science, education, and society. Sternberg was the 2003 President of the American Psychological Association and is the 2006�007 President of the Eastern Psychological Association. He was on the Board of Directors of the American Psychological Association and the Board of Trustees of the APA Insurance Trust. He is currently on the Board of Trustees of the American Psychological Foundation and on the Board of Directors of the Eastern Psychological Association as well as of the American Association of Colleges and Universities. Sternberg received his Ph.D. from Stanford University in 1975 and his B.A. from Yale University. He holds honorary doctorates from eight universities. He is the author of over 1,100 journal articles, chapters, and books. He focuses his research on intelligence, creativity, and wisdom and has studied love and close relationships as well as hate. This research has been conducted on five different continents.

James C. Kaufman, Ph.D., is an Associate Professor of Psychology at the California State University at San Bernardino, where he is also the director of the Learning Research Institute. He received his Ph.D. from Yale University in Cognitive Psychology. He is the author/editor of 12 books and more than 110 papers, and has won the Daniel E. Berlyne Award (APA's Division 10) for outstanding research by a junior scholar. He is the co-editor of Psychology of Aesthetics, Creativity, and the Arts and the Associate Editor of Journal of Creative Behavior and Korean Journal of Thinking and Problem Solving.

Dr. Elena L. Grigorenko received her Ph.D. in general psychology from Moscow State University, Russia, in 1990, and her Ph.D. in developmental psychology and genetics from Yale University in 1996. Currently, Dr. Grigorenko is Associate Professor of Child Studies and Psychology at Yale and Associate Professor of Psychology at Moscow State University. Dr. Grigorenko has published more than 200 peer-reviewed articles, book chapters, and books. She has received awards for her work from five different divisions of the American Psychological Association: the Gardner Lindzey Dissertation Award in General Psychology, Sigmund Koch Early Career Award in Theoretical and Philosophical Psychology, Berlyne Early Career Award for Creative Achievement in Psychology of the Arts, Boyd McCandless Early Career Award in Developmental Psychology, and Richard E. Snow Early Career Award in Educational Psychology. In 2004, she won the APA Distinguished Award for an Early Career Contribution to Developmental Psychology. Dr. Grigorenko's research has been funded by NIH, NSF, DOE, Cure Autism Now, the Foundation for Child Development, the American Psychological Foundation, and other federal and private sponsoring organizations.

Table of Contents

1. Views of intelligence; 2. The theory of successful human intelligence; 3. Metacognition: thinking with metacomponents; 4. Advanced problem-solving steps; 5. Cognitive processing: performance components (I); 6. Cognitive processing: performance components (II); 7. Logical reasoning and analysis of arguments: performance components (III); 8. Inference and inferential fallacies; 9. Knowledge-acquisition components; 10. Coping with novelty; 11. Deciding for creativity; 12. Automatizing information processing; 13. Practical intelligence; 14. Why intelligent people fail (too often).

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