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Cognitive Mechanisms of Learning

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nguyen-Xuan, Anh
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2020.
Temas:
Acceso en línea:Texto completo

MARC

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008 200725s2020 xx o ||| 0 eng d
040 |a EBLCP  |b eng  |c EBLCP  |d REDDC  |d OCLCF  |d OCLCQ  |d OCLCO  |d OCLCL 
020 |a 9781119750468 
020 |a 1119750466 
035 |a (OCoLC)1178636438 
050 4 |a LB1590.3  |b .N48 2020 
082 0 4 |a 370.1523  |2 23 
049 |a UAMI 
100 1 |a Nguyen-Xuan, Anh. 
245 1 0 |a Cognitive Mechanisms of Learning  |h [electronic resource]. 
260 |a Newark :  |b John Wiley & Sons, Incorporated,  |c 2020. 
300 |a 1 online resource (319 p.) 
500 |a Description based upon print version of record. 
505 0 |a Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Acknowledgments -- Introduction -- 1. Useful Concepts and Representation Formalisms -- 1.1. Useful concepts -- 1.1.1. Information -- 1.1.2. Information processing -- 1.1.3. Problem -- 1.1.4. Comprehension -- 1.1.5. Memory -- 1.2. Some formalisms used in cognitive psychology to represent knowledge stored in the LTM -- 1.2.1. Semantic networks: a representation formalism for declarative knowledge -- 1.2.2. A representation formalism for procedural knowledge 
505 8 |a 1.2.3. A representation formalism for the comprehension process -- 2. Definition and Historical Overview -- 2.1. Definition -- 2.2. Conceptual frameworks -- 2.3. Principal concepts of problem-solving -- 2.3.1. The "problem space" and "path" concepts -- 2.3.2. The "heuristic" and "search tree" concepts -- 2.4. Formal models -- 2.4.1. Models based on rules of production -- 3. Learning to Solve a Problem -- 3.1. Breaking down a complex problem into sub-problems -- 3.1.1. Lee, J. and Anderson, J.R. (2001) -- 3.2. The four stages of problem-solving -- 3.2.1. Anderson, Pyke and Fincham (2016) 
505 8 |a 3.3. The three stages of learning by problem-solving -- 3.3.1. Tenison, Fincham and Anderson (2016) -- 4. Learning a Concept from Examples of Concepts: Induction -- 4.1. Rule-based category learning -- 4.2. The question of "confirmation bias" -- 4.3. The duality between rule-based concept identification and similarity based concept identification -- 4.4. Concluding remarks -- 5. Implicit Learning -- 5.1. Presentation -- 5.2. What have learners learned, and are they aware of the knowledge which they acquire? -- 5.2.1. The princeps research work 
505 8 |a 5.2.2. What knowledge does the subject need to acquire? -- 5.3. Fragment status and the question of "abstract" or "concrete" acquired knowledge -- 5.3.1. The status of fragments in artificial grammar learning experiments -- 5.3.2. The nature of acquired knowledge: abstract or concrete? -- 5.4. Conclusion on implicit learning -- 5.4.1. Implicit learning and statistical learning -- 5.4.2. Individual differences -- 5.4.3. Statistical learning mechanisms -- 5.4.4. Applications of statistical learning -- 6. The Role of Prior Knowledge in Constructing a Representation of a Problem 
505 8 |a 6.1. Experimental method based on comparing group results -- 6.2. Experimental method based on multiple trials of the same problem with vocal description of actions by the subject: individual protocol and modeling -- 6.3. Experimental method using learning transfer to study the effect of problem presentation in the choice of prior knowledge -- 6.3.1. General hypotheses -- 6.3.2. Material used -- 6.3.3. Experimental hypotheses -- 6.3.4. The experiments -- 6.3.5. Conclusion -- 6.4. Conclusion: the role of prior knowledge in the construction of problem representations 
500 |a 7. Acquiring Knowledge in a Specific Domain 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Cognitive learning theory. 
650 6 |a Théorie cognitive de l'apprentissage. 
650 7 |a Cognitive learning theory  |2 fast 
758 |i has work:  |a COGNITIVE MECHANISMS OF LEARNING (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCXXVvTwVFkD44rDpry9Qjd  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Nguyen-Xuan, Anh  |t Cognitive Mechanisms of Learning  |d Newark : John Wiley & Sons, Incorporated,c2020  |z 9781786305770 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6265340  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL6265340 
994 |a 92  |b IZTAP