This volume takes a multi-disciplinary perspective on generalization of knowledge from several fields associated with Cognitive Science, including Cognitive Neuroscience, Computer Science, Education, Linguistics, Developmental Science, and Speech, Language and Hearing Sciences. The aim is to derive general principles from triangulation across different disciplines and approaches.
This volume takes a multi-disciplinary perspective on generalization of knowledge from several fields associated with Cognitive Science, including Cognitive Neuroscience, Computer Science, Education, Linguistics, Developmental Science, and Speech, Language and Hearing Sciences. The aim is to derive general principles from triangulation across different disciplines and approaches.
Preface. Part 1. Cognitive Neuroscience Approaches to Generalization. N.C. Huff K. LaBar Generalization and Specialization of Conditioned Learning. R.W. McGugin J. Tanaka Transfer and Interference in Perceptual Expertise: When Expertise Helps and When it Hurts. R. Poldrack V. Carr K. Foerde Flexibility and Generalization in Memory Systems. Part 2. Developmental Perspectives on Generalization. L. Gerken F.K. Balcomb Three Observations About Infant Generalization and Their Implications for Generalization Mechanisms. A.V. Fisher Mechanisms of Induction Early in Development. J. Lany R.L. Gomez Prior Experience Shapes Abstraction and Generalization in Language Acquisition. Part 3. Representations that Support Generalization. T.L. Griffiths Bayesian Models as Tools for Exploring Inductive Biases. M. Huenerfauth Representing American Sign Language Classifier Predicates Using Spatially Parameterized Planning Templates. K. Levering K.J. Kurtz Generalization in Higher-order Cognition: Categorization and Analogy as Bridges to Stored Knowledge. Part 4. Educational Training Approaches to Generalization. A.C. Graesser D. Lin S. D'Mello Computer Learning Environments with Agents that Support Deep Comprehension and Collaborative Learning. R. Hall K. Wieckert K. Wright How Does Cognition Get Distributed? Case Studies of Making Concepts General in Technical and Scientific Work. C.K. Thompson Generalization in Language Learning: the Role of Structural Complexity. Part 5. Technological Approaches to Generalization. J. McGrenere A. Bunt L. Findlater K. Moffatt Generalization in Human-Computer Interaction Research. K.R. Butcher S. de la Chica Supporting Student Learning with Adaptive Technology: Personalized Conceptual Assessment and Remediation. S.P. Carmien G. Fischer Beyond Human-Computer Interaction: Meta-Design in Support of Human Problem-Domain Interaction. M.T. Banich D.J. Caccamise In Summary. Index.
Preface. Part 1. Cognitive Neuroscience Approaches to Generalization. N.C. Huff K. LaBar Generalization and Specialization of Conditioned Learning. R.W. McGugin J. Tanaka Transfer and Interference in Perceptual Expertise: When Expertise Helps and When it Hurts. R. Poldrack V. Carr K. Foerde Flexibility and Generalization in Memory Systems. Part 2. Developmental Perspectives on Generalization. L. Gerken F.K. Balcomb Three Observations About Infant Generalization and Their Implications for Generalization Mechanisms. A.V. Fisher Mechanisms of Induction Early in Development. J. Lany R.L. Gomez Prior Experience Shapes Abstraction and Generalization in Language Acquisition. Part 3. Representations that Support Generalization. T.L. Griffiths Bayesian Models as Tools for Exploring Inductive Biases. M. Huenerfauth Representing American Sign Language Classifier Predicates Using Spatially Parameterized Planning Templates. K. Levering K.J. Kurtz Generalization in Higher-order Cognition: Categorization and Analogy as Bridges to Stored Knowledge. Part 4. Educational Training Approaches to Generalization. A.C. Graesser D. Lin S. D'Mello Computer Learning Environments with Agents that Support Deep Comprehension and Collaborative Learning. R. Hall K. Wieckert K. Wright How Does Cognition Get Distributed? Case Studies of Making Concepts General in Technical and Scientific Work. C.K. Thompson Generalization in Language Learning: the Role of Structural Complexity. Part 5. Technological Approaches to Generalization. J. McGrenere A. Bunt L. Findlater K. Moffatt Generalization in Human-Computer Interaction Research. K.R. Butcher S. de la Chica Supporting Student Learning with Adaptive Technology: Personalized Conceptual Assessment and Remediation. S.P. Carmien G. Fischer Beyond Human-Computer Interaction: Meta-Design in Support of Human Problem-Domain Interaction. M.T. Banich D.J. Caccamise In Summary. Index.
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