Chapter 9: Evolution and children's cognitive and academic development

Evolutionary Psychology

Volumn none, Issue , 2016, Pages 217-249

  Geary, David C ^a   Berch, Daniel B ^b  

^a UNIVERSITY OF MISSOURI   (United States)

^b UNIVERSITY OF VIRGINIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84966318694     PISSN: None     EISSN: 14747049     Source Type: Journal    
DOI: 10.1007/978-3-319-29986-0_9     Document Type: Article

References (160)

1. Abrams, D., & Hogg, M. A. (Eds.). (1990). Social identity theory: Constructive and critical advances. New York, NY: Springer
2. Adolphs, R. (2003). Cognitive neuroscience of human social behaviour. Nature Reviews Neuroscience, 4, 165-178
3. Alexander, R. D. (1989). Evolution of the human psyche. In P. Mellars & C. Stringer (Eds.), The human revolution: Behavioural and biological perspectives on the origins of modern humans (pp. 455-513). Princeton, NJ: Princeton University Press
4. Alexander, R. D. (1990). How did humans evolve? Reflections on the uniquely unique species. Museum of Zoology (Special Publication No. 1, pp. 1-38). Ann Arbor: The University of Michigan
5. Ash, J., & Gallup, G. G., Jr. (2007). Paleoclimatic variation and brain expansion during human evolution. Human Nature, 18, 109-124
6. Atran, S. (1994). Core domains versus scientific theories: Evidence from systematics and Itza-Maya folkbiology. In L. A. Hirschfeld & S. A. Gelman (Eds.), Mapping the mind: Domain specificity in cognition and culture (pp. 316-340). New York, NY: Cambridge University Press
7. Atran, S. (1998). Folk biology and the anthropology of science: Cognitive universals and cultural particulars. Behavioral and Brain Sciences, 21, 547-609
8. Bailenson, J. N., Shum, M. S., Atran, S., Medin, D. L., & Coley, J. D. (2002). A bird's eye view: Biological categorization and reasoning within and across cultures. Cognition, 84, 1-53
9. Bailey, D. H., & Geary, D. C. (2009). Hominid brain evolution: Testing climatic, ecological, and social competition models. Human Nature, 20, 67-79
10. Bandura, A. (1997). Self-Efficacy: The Exercise of Control. San Francisco, CA: Freeman
11. Baron-Cohen, S. (1995). Mindblindness: An essay on autism and theory of mind. Cambridge, MA: MIT Press/Bradford Books
12. Barton, R. A., & Dean, P. (1993). Comparative evidence indicating neural specialization for predatory behaviour in mammals. Proceedings of the Royal Society of London B, 254, 63-68
13. Baumeister, R. F. (2005). The cultural animal: Human nature, meaning, and social life. New York, NY: Oxford University Press
14. Berch, D. B. (2007). Instructing evolved minds: Pedagogically primary strategies for promoting biologically secondary learning. In J. S. Carlson & J. R. Levin (Eds.), Educating the evolved mind (Psychological perspectives on contemporary educational issues, Vol. 2, pp. 109-118). Greenwich, CT: Information Age
15. Berch, D. B. (2008, November). The emerging field of "evo-edu": Questions, challenges, constraints, and caveats. Presented at the Evolution Institute Workshop on Early Childhood Education, Miami, FL
16. Berlin, B., Breedlove, D. E., & Raven, P. H. (1966). Folk taxonomies and biological classification. Science, 154, 273-275
17. Berlin, B., Breedlove, D. E., & Raven, P. H. (1973). General principles of classification and nomenclature in folk biology. American Anthropologist, 75, 214-242
18. Berlinski, D. (2000). Newton's gift. New York, NY: Touchstone
19. Bjorklund, D. F., & Bering, J. M. (2002). The evolved child: Applying evolutionary developmental psychology to modern schooling. Learning and Individual Differences, 12, 347-373
20. Bjorklund, D. F., & Ellis, B. J. (2014). Children, childhood, and development in evolutionary perspective. Developmental Review, 34, 225-264
21. Bjorklund, D. F., & Pellegrini, A. D. (2002). The origins of human nature: Evolutionary developmental psychology. Washington, DC: American Psychological Association
22. Bloom, P. (1996). Intention, history, and artifact concepts. Cognition, 60, 1-29
23. Blurton Jones, N. G., Hawkes, K., & O'Connell, J. F. (1997). Why do Hadza children forage? In N. L. Segal, G. E. Weisfeld, & C. C. Weisfeld (Eds.), Uniting psychology and biology: Integrative perspectives on human development (pp. 279-313). Washington, DC: American Psychological Association
24. Bogin, B. (1999). Patterns of human growth (2nd ed.). Cambridge, England: Cambridge University Press
25. Bradley, L., & Bryant, P. E. (1983). Categorizing sounds and learning to read-A causal connection. Nature, 301, 419-421
26. Brothers, L., & Ring, B. (1992). A neuroethological framework for the representation of minds. Journal of Cognitive Neuroscience, 4, 107-118
27. Bugental, D. B. (2000). Acquisition of the algorithms of social life: A domain-based approach. Psychological Bulletin, 126, 187-219
28. Burghardt, G. M. (2005). The genesis of animal play: Testing the limits. Cambridge, MA: Bradford/MIT Press
29. Butler, D., & Suddendorf, T. (2014). Reducing the neural search space for hominid cognition: What distinguishes human and great ape brains from those of small apes? Psychonomic Bulletin & Review, 21, 590-619
30. Byrne, P., Becker, S., & Burgess, N. (2007). Remembering the past and imagining the future: A neural model of spatial memory and imagery. Psychological Review, 114, 340-375
31. Caporael, L. R. (1997). The evolution of truly social cognition: The core configurations model. Personality and Social Psychology Review, 1, 276-298
32. Caramazza, A., & Shelton, J. R. (1998). Domain-specific knowledge systems in the brain: The animate-inanimate distinction. Journal of Cognitive Neuroscience, 10, 1-34
33. Carey, S. (2009). The origin of concepts. New York, NJ: Oxford University Press
34. Carroll, J. (2011). Reading human nature: Literary Darwinism in theory and practice. Albany, NY: SUNY Press
35. Cattell, R. B. (1963). Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology, 54, 1-22
36. Clement, J. (1982). Students' preconceptions in introductory mechanics. American Journal of Physics, 50, 66-71
37. Connor, C. M., Morrison, F. J., & Petrella, J. N. (2004). Effective reading comprehension instruction: Examining child X instruction interactions. Journal of Educational Psychology, 96, 682-698
38. Cosmides, L. (1989). The logic of social exchange: Has natural selection shaped how humans reason? Studies with the Wason selection task. Cognition, 31, 187-276
39. Damasio, A. (2003). Looking for Spinoza: Joy, sorrow, and the feeling brain. Orlando, FL: Harcourt
40. Darwin, C. R. (1845). Journal of researches into the natural history and geology of the countries visited during the voyage of H.M.S. Beagle round the world, under the Command of Capt. Fitz Roy, R.N (2nd ed.). London, England: John Murray
41. Darwin, C. (1859). The origin of species by means of natural selection. London, England: John Murray
42. Dunbar, R. I. M. (1998). The social brain hypothesis. Evolutionary Anthropology, 6, 178-190
43. Dunbar, K., Fugelsang, J., & Stein, C. (2007). Do naïve theories ever go away? In M. Lovett & P. Shah (Eds.), Thinking with Data: 33rd Carnegie Symposium on Cognition (pp. 193-205). Mahwah, NJ: Erlbaum
44. Dyer, F. C. (1998). Cognitive ecology of navigation. In R. Dukas (Ed.), Cognitive ecology: The evolutionary ecology of information processing and decision making (pp. 201-260). Chicago, IL: University of Chicago Press
45. Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363-406
46. Evans, J. S. B. T. (2002). Logic and human reasoning: An assessment of the deduction paradigm. Psychological Bulletin, 128, 978-996
47. Feigenson, L., Dehaene, S., & Spelke, E. S. (2004). Core systems of number. Trends in Cognitive Sciences, 8, 307-314
48. Figueiredo, G. M., Leitão-Filho, H. F., & Begossi, A. (1993). Ethnobotany of Atlantic forest coastal communities: Diversity of plant used in Gamboa. Human Ecology, 21, 419-430
49. Figueiredo, G. M., Leitão-Filho, H. F., & Begossi, A. (1997). Ethnobotany of Atlantic forest coastal communities: II. Diversity of plant uses at Sepetiba Bay (SE Brazil). Human Ecology, 25, 353-360
50. Fiske, S. T. (2002). What we know now about bias and intergroup conflict, the problem of the century. Current Directions in Psychological Science, 11, 123-128
51. Fiske, S. T., & Taylor, S. E. (1991). Social cognition (2nd ed.). New York, NY: McGraw-Hill
52. Flinn, M. V., Geary, D. C., & Ward, C. V. (2005). Ecological dominance, social competition, and coalitionary arms races: Why humans evolved extraordinary intelligence. Evolution and Human Behavior, 26, 10-46
53. Freedman, D. G. (1974). Human infancy: An evolutionary perspective. New York, NY: Wiley.
54. Gallistel, C. R. (1990). The organization of learning. Cambridge, MA: MIT Press/Bradford Books.
55. Garlick, D. (2002). Understanding the nature of the general factor of intelligence: The role of individual differences in neural plasticity as an explanatory mechanism. Psychological Review, 109, 116-136
56. Geary, D. C. (1995). Reflections of evolution and culture in children's cognition: Implications for mathematical development and instruction. American Psychologist, 50, 24-37
57. Geary, D. C. (2004). Evolution and cognitive development. In R. Burgess & K. MacDonald (Eds.), Evolutionary perspectives on human development (pp. 99-133). Thousand Oaks, CA: Sage
58. Geary, D. C. (2005). The origin of mind: Evolution of brain, cognition, and general intelligence. Washington, DC: American Psychological Association
59. Geary, D. C. (2007). Educating the evolved mind: Conceptual foundations for an evolutionary educational psychology. In J. S. Carlson & J. R. Levin (Eds.), Educating the evolved mind (Psychological perspectives on contemporary educational issues, Vol. 2, pp. 1-99). Greenwich, CT: Information Age
60. Geary, D. C. (2008a). An evolutionarily informed education science. Educational Psychologist, 43, 279-295
61. Geary, D. C. (2008b). Whither evolutionarily educational psychology? Educational Psychologist, 43, 217-226
62. Geary, D. C. (2010). Male, female: The evolution of human sex differences (2nd ed.). Washington, DC: American Psychological Association
63. Geary, D. C. (2012). The evolved mind and scientific discovery. In J. Shrager & S. M. Carver (Eds.), From child to scientist: Mechanisms of learning and development (pp. 87-115). Washington, DC: American Psychological Association
64. Geary, D. C., Berch, D. B., & Mann Koepke, K. (Eds.). (2015). Evolutionary origins and early development of number processing (Mathematical cognition and learning, Vol. 1). San Diego, CA: Elsevier Academic Press
65. Geary, D. C., & Bjorklund, D. F. (2000). Evolutionary developmental psychology. Child Development, 71, 57-65
66. Geary, D. C., & Huffman, K. J. (2002). Brain and cognitive evolution: Forms of modularity and functions of mind. Psychological Bulletin, 128, 667-698
67. Gelman, R. (1990). First principles organize attention to and learning about relevant data: Number and animate-inanimate distinction as examples. Cognitive Science, 14, 79-106
68. Gelman, S. A. (2003). The essential child: Origins of essentialism in everyday thought. New York, NY: Oxford University Press
69. Gelman, R., & Williams, E. M. (1998). Enabling constraints for cognitive development and learning: Domain-specificity and epigenesis. In D. Kuhl & R. S. Siegler (Vol. Eds.), Cognition, perception, and language, Vol. 2 (pp. 575-630). W. Damon (Gen. Ed.), Handbook of child psychology (5th Ed.). New York, NY: Wiley
70. Gigerenzer, G., Todd, P. M., & ABC Research Group (Eds.). (1999). Simple heuristics that make us smart. New York, NY: Oxford University Press
71. Gopnik, A., & Wellman, H. M. (2012). Reconstructing constructivism: Causal models, Bayesian learning mechanisms, and the theory theory. Psychological Bulletin, 138, 1085-1108
72. Grant, P. R. (1999). Ecology and evolution of Darwin's finches. Princeton, NJ: Princeton University Press
73. Gray, P. (2013). Free to learn: Why unleashing the instinct to play will make our children happier, more self-reliant, and better students for life. New York, NY: Basic Books
74. Greenough, W. T., Black, J. E., & Wallace, C. S. (1987). Experience and brain development. Child Development, 58, 539-559
75. Gurven, M., Kaplan, H., & Gutierrez, M. (2006). How long does it take to become a proficient hunter? Implications for the evolution of extended development and long life span. Journal of Human Evolution, 51, 454-470
76. Hamilton, W. D. (1964). The genetical evolution of social behaviour. II. Journal of Theoretical Biology, 7, 17-52
77. Harter, S. (2006). The self. In N. Eisenberg (Vol. Ed.), Social, emotional, and personality development, Vol. 3 (pp. 505-570). W. Damon & R. M. Lerner (Gen. Eds.), Handbook of child psychology (6th Ed.). New York, NY: Wiley
78. Heckhausen, J., & Schulz, R. (1995). A life-span theory of control. Psychological Review, 102, 284-304
79. Hewstone, M., Rubin, M., & Willis, H. (2002). Intergroup bias. Annual Review of Psychology, 53, 575-604
80. Hindson, B., Byrne, B., Shankweiler, D., Fielding-Barnsley, R., Newman, C., & Hine, D. W. (2005). Assessment and early instruction of preschool children at risk for reading disability. Journal of Educational Psychology, 97, 687-704
81. Horowitz, D. L. (2001). The deadly ethnic riot. Berkeley, CA: University of California Press
82. Huffman, K. J., Nelson, J., Clarey, J., & Krubitzer, L. (1999). Organization of somatosensory cortex in three species of marsupials, Dasyurus hallucatus, Dactylopsila trivirgata, and Monodelphis domestica: Neural correlates of morphological specializations. Journal of Comparative Neurology, 403, 5-32
83. Humphrey, N. K. (1976). The social function of intellect. In P. P. G. Bateson & R. A. Hinde (Eds.), Growing points in ethology (pp. 303-317). New York, NY: Cambridge University Press
84. Johnson-Frey, S. H. (2003). What's so special about human tool use? Neuron, 39, 201-204
85. Johnson-Laird, P. N. (1983). Mental models. Cambridge, England: Cambridge University Press
86. Kahneman, D., & Tversky, A. (1982). The simulation heuristic. In D. Kahneman, P. Slovic, & A. Tversky (Eds.), Judgment uncertainty: Heuristics and biases (pp. 201-208). Cambridge, England: Cambridge University Press
87. Kaiser, M. K., McCloskey, M., & Proffitt, D. R. (1986). Development of intuitive theories of motion: Curvilinear motion in the absence of external forces. Developmental Psychology, 22, 67-71
88. Kaminski, V. M., Sloutsky, V. M., & Heckler, A. F. (2006). Do children need concrete instantiations to learn an abstract concept? In R. Sun & N. Miyake (Eds), Proceedings of the 27th Annual Conference of the Cognitive Science Society (pp. 411-416). Mahwah, NJ: Lawrence Erlbaum
89. Kaminski, J. A., Sloutsky, V. M., & Heckler, A. F. (2008). The advantage of abstract examples in learning math. Science, 230, 454-455
90. Kaplan, H., Hill, K., Lancaster, J., & Hurtado, A. M. (2000). A theory of human life history evolution: Diet, intelligence, and longevity. Evolutionary Anthropology, 9, 156-185
91. Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41, 75-86
92. Kisilevsky, B. S., Hains, S. M. J., Lee, K., Xie, X., Huang, H., Ye, H. H., ... Wang, Z. (2003). Effects of experience on fetal voice recognition. Psychological Science, 14, 220-224
93. Klahr, D., & Li, J. (2005). Cognitive research and elementary science instruction: From the laboratory, to the classroom, and back. Journal of Science Education and Technology, 14, 217-238
94. Klahr, D., & Nigam, M. (2004). The equivalence of learning paths in early science instruction: Effects of direct instruction and discovery learning. Psychological Science, 15, 661-667
95. Kuhlmeier, V. A., & Boysen, S. T. (2002). Chimpanzees ( Pan troglodytes ) recognize spatial and object correspondences between a scale model and its referent. Psychological Science, 13, 60-63
96. Leslie, A. M. (1987). Pretense and representation: The origins of "theory of mind". Psychological Review, 94, 412-426
97. Leslie, A. M., Friedman, O., & German, T. P. (2004). Core mechanisms in "theory of mind". Trends in Cognitive Sciences, 8, 528-533
98. Lockman, J. J. (2000). A perception-action perspective on tool use development. Child Development, 71, 137-144
99. Lubinski, D. (2004). Introduction to the special section on cognitive abilities: 100 years after Spearman's (1904) "'general intelligence', objectively determined and measured". Journal of Personality and Social Psychology, 86, 96-111
100. Macfarlan, S. J., Walker, R. S., Flinn, M. V., & Chagnon, N. A. (2014). Lethal coalitionary aggression and long-term alliance formation among Yanomamö men. Proceedings of the National Academy of Sciences USA, 111, 16662-16669
101. Maguire, E. A., Burgess, N., Donnett, J. G., Frackowiak, R. S. J., Frith, C. D., & O'Keefe, J. (1998). Knowing where and getting there: A human navigational network. Science, 280, 921-924
102. Malt, B. C. (1995). Category coherence in cross-cultural perspective. Cognitive Psychology, 29, 85-148
103. Mann, V. A. (1984). Reading skill and language skill. Developmental Review, 4, 1-15
104. Markus, H. (1977). Self-schemata and processing information about the self. Journal of Personality and Social Psychology, 35, 63-78
105. McCloskey, M. (1983). Intuitive physics. Scientific American, 248, 122-130
106. Meck, W. H., & Church, R. M. (1983). A mode control model of counting and timing processes. Journal of Experimental Psychology: Animal Behavior Processes, 9, 320-334
107. Medin, D. L., & Atran, S. (1999). Folkbiology. Cambridge, MA: MIT Press
108. Medin, D. L., & Atran, S. (2004). The native mind: Biological categorization and reasoning in development and across cultures. Psychological Review, 111, 960-983
109. Medin, D. L., Ross, N. O., Atran, S., Cox, D., Coley, J., Proffitt, J. B., & Blok, S. (2006). Folkbiology of freshwater fish. Cognition, 99, 237-273
110. Milner, A. D., & Goodale, M. A. (1995). The visual brain in action. New York, NY: Oxford University Press
111. Mithen, S. (1996). The prehistory of the mind: The cognitive origins of art and science. New York, NY: Thames and Hudson
112. Murdock, G. P. (1981). Atlas of world cultures. Pittsburgh, PA: University of Pittsburgh Press
113. Murray, C. (2003). Human accomplishment: The pursuit of excellence in the arts and sciences, 800 B.C. to 1950. New York, NJ: HarperCollins
114. Newcombe, N. S. (2011). What is neoconstructivism? Child Development Perspectives, 5, 157-160
115. Newell, A. (1973). You can't play 20 questions with nature and win: Projective comments on papers of this symposium. In W. G. Chase (Ed.), Visual information processing (pp. 283-308). New York, NY: Academic
116. Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall
117. Newton, I. (1995). The principia. Amherst, NY: Prometheus Books. [Translated by A. Motte]. (Original work published in 1687)
118. O'Keefe, J., & Nadel, L. (1978). The hippocampus as a cognitive map. New York, NY: Oxford University Press
119. Oaksford, M., & Chater, N. (1998). Rationality in an uncertain world: Essays on the cognitive science of human reasoning. East Sussex, England: Psychology Press
120. Paivio, A. (2007). Mind and its evolution: A dual coding theoretical approach. Mahwah, NJ: Erlbaum
121. Pinker, S. (1994). The language instinct. New York, NY: William Morrow
122. Potts, R. (1998). Variability selection in hominid evolution. Evolutionary Anthropology, 7, 81-96
123. Povinelli, D. J. (2000). Folk physics for apes: The chimpanzees theory of how the world works. New York, NY: Oxford University Press
124. Richerson, P. J., & Boyd, R. (2005). Not by genes alone: How culture transformed human evolution. Chicago, IL: University of Chicago Press
125. Rozin, P. (1976). The evolution of intelligence and access to the cognitive unconscious. In J. M. Sprague & A. N. Epstein (Eds.), Progress in psychobiology and physiological psychology (Vol. 6, pp. 245-280). New York, NY: Academic
126. Scarr, S. (1992). Developmental theories of the 1990s: Developmental and individual differences. Child Development, 63, 1-19
127. Schneider, D. J. (1973). Implicit personality theory: A review. Psychological Bulletin, 79, 294-309
128. Schyns, P. G., Bonnar, L., & Gosselin, F. (2002). Show me the features! Understanding recognition from the use of visual information. Psychological Science, 13, 402-409
129. Sereno, S. C., & Rayner, K. (2003). Measuring word recognition in reading: Eye movements and event-related potentials. Trends in Cognitive Sciences, 7, 489-493
130. Setoh, P., Wu, D., Baillargeon, R., & Gelman, R. (2013). Young infants have biological expectations about animals. Proceedings of the National Academy of Sciences USA, 110, 15937-15942
131. Shepard, R. N. (1994). Perceptual-cognitive universals as reflections of the world. Psychonomic Bulletin & Review, 1, 2-28
132. Shtulman, A. (2006). Qualitative differences between naïve and scientific theories of evolution. Cognitive Psychology, 52, 170-194
133. Simon, H. A. (1956). Rational choice and the structure of the environment. Psychological Review, 63, 129-138
134. Simonton, D. K. (2009). Varieties of (scientific) creativity: A hierarchical model of domainspecific disposition, development, and achievement. Perspectives on Psychological Science, 4, 441-452
135. Spelke, E. S., Breinlinger, K., Macomber, J., & Jacobson, K. (1992). Origins of knowledge. Psychological Review, 99, 605-632
136. Spelke, E. S., & Kinzler, K. D. (2007). Core knowledge. Developmental Science, 10, 89-96
137. Spelke, E. S., & Kinzler, K. D. (2009). Innateness, learning, and rationality. Child Development Perspectives, 3, 96-98
138. Spencer, J. P., Blumberg, M. S., McMurray, B., Robinson, S. R., Samuelson, L. K., & Tomblin, J. B. (2009). Short arms and talking eggs: Why we should no longer abide the nativist-empiricist debate. Child Development Perspectives, 3, 79-87
139. Sporns, O., Tononi, G., & Edelman, G. M. (2000). Connectivity and complexity: The relationship between neuroanatomy and brain dynamics. Neural Networks, 13, 909-922
140. Stanovich, K. E. (1999). Who is rational? Studies of individual differences in reasoning. Mahwah, NJ: Erlbaum
141. Stanovich, K. E., & West, R. F. (2000). Individual differences in reasoning: Implications for the rationality debate? Behavioral and Brain Sciences, 23, 645-726
142. Stanovich, K. E., & West, R. F. (2008). On the relative independence of thinking biases and cognitive ability. Journal of Personality and Social Psychology, 94, 672-695
143. Sternberg, R. J. (Ed.). (1999). Handbook of creativity. Cambridge, England: Cambridge University Press
144. Stevens, R. J., Slavin, R. E., & Farnish, A. M. (1991). The effects of cooperative learning and direct instruction in reading comprehension strategies on mean idea identification. Journal of Educational Psychology, 83, 8-16
145. Suddendorf, T., & Corballis, M. C. (1997). Mental time travel and the evolution of the human mind. Genetic, Social, and General Psychology Monographs, 123, 133-167
146. Sweller, J. (2012). Human cognitive architecture: Why some instructional procedures work and others do not. In K. R. Harris, S. Graham, & T. Urdan (Eds.), Educational psychology handbook (Theories, constructs, and critical issues, Vol. 1, pp. 295-325). Washington, DC: American Psychological Association
147. Sweller, J. (2015). In academe, what is learned, and how is it learned? Current Directions in Psychological Science, 24, 190-194
148. Tinbergen, N. (1963). On aims and methods of ethology. Zeitschrift für Tierpsychologie, 20, 410-433
149. Tulving, E. (2002). Episodic memory: From mind to brain. Annual Review of Psychology, 53, 1-25
150. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185, 1124-1131
151. Wagner, R. K., & Torgesen, J. K. (1987). The nature of phonological processing and its causal role in the acquisition of reading skills. Psychological Bulletin, 101, 192-212
152. Wagner, R. K., Torgesen, J. K., & Rashotte, C. A. (1994). Development of reading-related phonological processing abilities: New evidence of bidirectional causality from a latent variable longitudinal study. Developmental Psychology, 30, 73-87
153. Wellman, H. M. (2014). Making minds: How theory of mind develops. New York, NY: Oxford University Press
154. Wellman, H. M., Fang, F., Liu, D., Zhu, L., & Liu, G. (2006). Scaling of theory-of-mind understandings in Chinese children. Psychological Science, 17, 1075-1081
155. Wellman, H. M., Fang, F., & Peterson, C. C. (2011). Sequential progressions in a theory-of-mind scale: Longitudinal perspectives. Child Development, 82, 780-792
156. Wellman, H. M., & Gelman, S. A. (1992). Cognitive development: Foundational theories of core domains. Annual Review of Psychology, 43, 337-375
157. Wellman, H. M., & Liu, D. (2004). Scaling of theory-of-mind tasks. Child Development, 75, 523-541
158. West, R. F., Toplak, M. E., & Stanovich, K. E. (2008). Heuristics and biases as measures of critical thinking: Associations with cognitive ability and thinking dispositions. Journal of Educational Psychology, 100, 930-941
159. White, M. (1999). Isaac Newton: the last sorcerer. New York, NY: Basic Books
160. Zimmerman, C. (2005). The development of scientific reasoning skills: What psychologists contribute to an understanding of elementary science learning. Report to the National Research Council's Board of Science Education, Consensus Study on Learning Science, Kindergarten through Eighth Grade. Retrieved from http://www7.nationalacademies.org/bose/Corinne_Zimmerman_Final_Paper.pdf