Educating the Developing Mind: Towards an Overarching Paradigm
Tóm tắt
This essay first summarizes an overarching theory of cognitive organization and development. This theory claims that the human mind involves (1) several specialized structural systems dealing with different domains of relations in the environment, (2) a central representational capacity system, (3) general inferential processes, and (4) consciousness. These systems interact dynamically during development so that changes in each are related to changes in others. The changes in all systems and the change mechanisms are described. This theory integrates research and theorizing from cognitive, developmental, and differential psychology. Based on this theory, a model for education is proposed that specifies, first, educational priorities for different phases of development according to the cognitive developmental milestones associated with each phase. The theory also specifies how education can educate students to (1) construct mental models for the sake of conceptual change, (2) use their central representational capacity efficiently, (3) advance analogical and deductive reasoning, (4) learn how to learn, and (5) become critical and creative thinkers. The theory is offered as an overarching paradigm for the architecture, the development, and the education of the human mind.
Tài liệu tham khảo
Ackerman, P. L. (1996). A theory of adult intellectual development: Personality, interests, and knowledge. Intelligence, 22, 227–257.
Ackerman, P. L. (2000). Domain-specific knowledge as the “dark matter” of adult intelligence: Gf/Gc, personality, and interests correlates. Journal of Gerontology: Psychological Sciences, 55B, 69–84.
Albert, D., & Steinberg, L. (2011). Age differences in strategic planning as indexed by the Tower of London. Child Development, XX, 1–17.
Anderson, L. W. (1985). Time and timing. In C. W. Fisher & D. C. Berliner (Eds.), Perspectives on instructional time (pp. 157–168). London: Longman.
Anderson, L. W., Krathwohl, D. R., Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., et al. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. New York: Longman.
Artman, L., Cahan, S., & Avni-Babad, D. (2006). Age, schooling and conditional reasoning. Cognitive Development, 21, 131–145.
Baars, B. J. (2002). The conscious access hypothesis: Origins and recent evidence. Trends in Cognitive Sciences, 6, 47–52.
Baars, B. J., & Franklin, S. (2003). How conscious experience and working memory interact. Trends in Cognitive Sciences, 7, 166–172.
Baddeley, A. D. (1990). Human memory: Theory and practice. Hillsdale: Lawrence Erlbaum.
Baddeley, A. D. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4, 417–423.
Baltes, P. B., & Staudinger, U. M. (2000). Wisdom: A metaheuristic (pragmatic) to orchestrate mind and virtue toward excellence. American Psychologist, 55, 122–137.
Barouillet, P., Portrat, S., & Camos, V. (2011). On the law relating processing to storage in working memory. Psychological Review, 118, 175–192.
Barrouillet, P. (1997). Modifying the representation of if … then sentences in adolescents by inducing a structure mapping strategy. Current Psychology of Cognition, 16, 609–637.
Barrouillet, P., Grosset, N., & Lecas, J.-F. (2000). Conditional reasoning by mental models: Chronometric and developmental evidence. Cognition, 75, 237–266.
Barrouillet, P., Gauffroy, C., & Lecas, J.-F. (2008). Mental models and the suppositional account of conditionals. Psychological Review, 115, 760–771.
Basseches, M. (1984). Dialectical thinking and adult development. New York: Ablex.
Bernard, R. M., Zhang, D., Abrami, P. C., Sicoly, F., Borokhovski, E., & Surkes, M. A. (2008). Exploring the structure of the Watson–Glaser Critical Thinking Appraisal: One scale or many subscales? Thinking Skills and Creativity, 3, 15–22.
Black, P., & Wiliam, D. (2009). Developing the theory of formative assessment. Educational Assessment, Evaluation and Accountability, 21, 5–13.
Blair, C. (2006). How similar are fluid cognition and general intelligence? A developmental neuroscience perspective on fluid cognition as an aspect of human cognitive ability. The Behavioral and Brain Sciences, 29, 109–160.
Blaser, E., & Kaldy, Z. (2010). Infants get five starts on iconic memory: A partial-report test of 6-month-old infants’ iconic memory capacity. Psychological Science, 21, 1643–1645.
Braine, M. D. S. (1990). The “natural logic” approach to reasoning. In W. F. Overton (Ed.), Reasoning, necessity, and logic: Developmental perspectives (pp. 133–157). Hillsdale: Lawrence Erlbaum.
Brown, R. (1968). The development of Wh questions in child speech. Journal of Verbal Learning and Verbal Behavior, 7, 279–290.
Brown, A. L. (1987). Metacognition, executive control, self-regulation, and other more mysterious mechanisms. In F. E. Weinert & R. H. Kluwe (Eds.), Metacognition, motivation, and understanding (pp. 65–116). Hillsdale: Lawrence Erlbaum.
Buschkuehl, M., & Jaeggi, S. M. (2010). Improving intelligence: A literature review. Swiss Medical Weekly, 140, 266–272.
Butterworth, G. (1998). Origins of joint visual attention in infancy: Commentary on Carpenter et al. Monographs of the Society for Research in Child Development, 63(4), 144–166.
Camos, V., & Barrouillet, P. (2011). Developmental changes in working memory strategies: From passive maintenance to active refreshing. Developmental Psychology, 47, 898–904.
Campbell, F. A., & Burchinal, M. R. (2008). Early childhood interventions: The Abecedarian Project. In P. C. Kyllonen, R. D. Roberts, & L. Stankov (Eds.), Extending intelligence: Enhancement and new constructs (pp. 61–83). New York: Lawrence Erlbaum.
Carey, S. (1985). Conceptual change in childhood. Boston: The MIT Press.
Carey, S. (2009). The origins of concepts. Oxford: Oxford University Press.
Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. New York: Cambridge University Press.
Case, R. (1985). Intellectual development: Birth to adulthood. New York: Academic.
Case, R. (1992). The mind’s staircase: Exploring the conceptual underpinnings of children’s thought and knowledge. Hillsdale: Lawrence Erlbaum.
Case, R., & Okamoto, Y. (Eds). (1996). The role of central conceptual structures in the development of children’s thought. Monographs of the Society for Research in Child Development, 61 (Serial No. 246).
Case, R., Okamoto, Y., Griffin, S., McKeough, A., Bleiker, C., Henderson, B., & Stephenson, K. M. (1996). The role of central conceptual structures in the development of children’s thought. Monographs of the Society for Research in Child Development, 61 (17–2, Serial No. 246).
Case, R., Demetriou, A., Platsidou, M., & Kazi, S. (2001). Integrating concepts and tests of intelligence from the differential and the developmental traditions. Intelligence, 29, 307–336.
Cattell, R. B. (1963). Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology, 54, 1–22.
Ceci, S. (1991). How much does schooling influence general intelligence and its cognitive components? Developmental Psychology, 27, 703–722.
Chandler, M. J., Hallett, D., & Sokol, B. W. (2002). Competing claims about competing knowledge domains. In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology: The psychology of beliefs about knowledge and knowing (pp. 145–168). Mahwah: Lawrence Erlbaum.
Cheng, P. W., & Holyoak, K. J. (1985). Pragmatic reasoning schemas. Cognitive Psychology, 17, 391–416.
Christoforides, M. (2010). The development of hypothetico-deductive thought in primary school children: Implications of an intervention program (Unpublished doctoral dissertation). University of Cyprus, Nicosia, Cyprus.
Cleeremans, A. (2008). Consciousness: The radical plasticity thesis. In R. Banerjee & B. K. Chakrabarti (Eds.), Progress in brain research (Vol. 168, pp. 19–33). Amsterdam: Elsevier.
Cobley, S., McKenna, J., Baker, J., & Wattie, N. (2009). How pervasive are relative age effects in secondary school education? Journal of Educational Psychology, 101, 520–528.
Cole, R. L., & Pickering, S. J. (2010). Phonological and visual similarity effects in Chinese and English language users: Implications for the use of cognitive resources in short-term memory. Bilingualism: Language and Cognition, 13, 499–512.
Colom, R., Rebollo, I., Palacios, A., Juan-Espinosa, M., & Kyllonen, P. (2004). Working memory is (almost) perfectly predicted by g. Intelligence, 32, 277–296.
Commons, M. L., Richards, F. A., & Kuhn, D. (1982). Systematic and metasystematic reasoning: A case for a level of reasoning beyond Piaget’s formal operations. Child Development, 53, 1058–1069.
Conway, A. R. A., Cowan, N., Bunting, M. F., Therriault, D. J., & Minkoff, S. R. B. (2002). A latent variable analysis of working memory capacity, short term memory capacity, processing speed, and general fluid intelligence. Intelligence, 30, 163–183.
Cosmides, L., & Tooby, J. (1994). Origins of domain-specificity: The evolution of functional organization. In L. Hirschfeld & S. Gelman (Eds.), Mapping the mind: Domain-specificity in cognition and culture (pp. 85–119). New York: Cambridge University Press.
Cowan, N. (2010). The magical mystery four: How is working memory capacity limited and why? Current Directions in Psychological Science, 19, 51–57.
Crits-Christoph, P., & Singer, J. L. (1981). Imagery in cognitive-behavior therapy: Research and application. Clinical Psychology Review, 1, 19–32.
Dalke, D. E. (1998). Charting the development of representational skills: When do children know that maps can lead and mislead? Cognitive Development, 13, 53–72.
Daniel, D. B., & Klaczynski, P. A. (2006). Developmental and individual differences in conditional reasoning: Effects of logic instructions and alternative antecedents. Child Development, 77, 339–354.
Davidson, M. C., Amso, D., Anderson, L. C., & Diamond. (2006). Development of cognitive control and executive functions from 4 to 13 years: Evidence from manipulations of memory, inhibition, and task switching. Neuropsychologia, 44, 2037–2078.
Dawson, T. L. (2006). Stage-like patterns in the development of conceptions of energy. In X. Liu & W. Boone (Eds.), Applications of Rasch measurement in science education (pp. 111–136). Maple Grove: JAM Press.
Deary, I. J. (2000). Looking down on human intelligence. Oxford: Oxford University Press.
Deary, I. J., Strand, S., Smith, P., & Fernandes, C. (2007). Intelligence and educational achievement. Intelligence, 35, 13–21.
Dehaene, S. (1997). The number sense: How the mind creates mathematics. New York: Oxford University Press.
Dehn, M. J. (2008). Working memory and academic learning: Assessment and intervention. Hoboken: Wiley.
DeLoache, J. S. (1991). Symbolic functioning in very young children: Understanding of pictures and models. Child Development, 62, 736–752.
DeLoache, J. S. (1995). Early understanding of the use of symbols. Current Directions in Psychological Science, 4, 109–113.
DeLoache, J. S. (2000). Dual representation and young children’s use of scale models. Child Development, 71, 329–338.
DeLoache, J. S., & Burns, N. M. (1994). Early understanding of the representational function of pictures. Cognition, 52, 83–110.
Demetriou, A. (Ed.). (1988). The neo-Piagetian theories of cognitive development: Toward an integration. Amsterdam: North-Holland.
Demetriou, A. (1998). Cognitive development. In A. Demetriou, W. Doise, & K. F. M. van Lieshout (Eds.), Life-span developmental psychology (pp. 179–269). London: Wiley.
Demetriou, A. (2000). Organization and development of self-understanding and self-regulation: Toward a general theory. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 209–251). San Diego: Academic.
Demetriou, A. (2002). Tracing psychology’s invisible giant and its visible guards. In R. J. Sternberg & E. Grigorenko (Eds.), The general factor of intelligence: Fact or fiction? (pp. 3–19). Mahwah: Lawrence Erlbaum.
Demetriou, A. (2004). Mind, intelligence, and development: Ageneral cognitive, differential, and developmental theory of the mind. In A. Demetriou & A. Raftopoulos (Eds.), Developmental change: Theories, models and measurement (pp. 21–73). Cambridge: Cambridge University Press.
Demetriou, A., & Bakracevic, K. (2009). Cognitive development from adolescence to middle age: From environment-oriented reasoning to social understanding and self-awareness. Learning and Individual Differences, 19, 181–194.
Demetriou, A., & Efklides, A. (1989). The person’s conception of the structures of developing intellect: Early adolescence to middle age. Genetic, Social, and General Psychology Monographs, 115, 371–423.
Demetriou, A., & Efklides, A. (1994). Structure, development, and dynamics of developing mind: A meta-Piagetian theory. In A. Demetriou & A. Efklides (Eds.), Intelligence, mind, and reasoning: Structure and development (pp. 75–110). Amsterdam: North-Holland.
Demetriou, A., & Kazi, S. (2001). Unity and modularity in the mind and the self: Studies on the relationships between self-awareness, personality, and intellectual development from childhood to adolescence. London: Routledge.
Demetriou, A., & Kazi, S. (2006). Self-awareness in g (with processing efficiency and reasoning). Intelligence, 34, 297–317.
Demetriou, A., & Kyriakides, L. (2006). A Rasch-measurement model analysis of cognitive developmental sequences: Validating a comprehensive theory of cognitive development. British Journal of Educational Psychology, 76, 209–242.
Demetriou, A., & Panaoura, R. (2006). Mathematics in the mind: Its place, architecture, and development. In L. Verschaffel, F. Dochy, M. Boekaerts, & S. Vosniadou (Eds.). Instructional psychology: Past, present and future trends. Fifteen essays in honor of Erik De Corte (Advances in Learning and Instruction Series) (pp. 19–38). Amsterdam: Pergamon.
Demetriou, A., & Raftopoulos, A. (1999). Modeling the developing mind: From structure to change. Developmental Review, 19, 319–368.
Demetriou, A., Gustafsson, J.-E., Efklides, A., & Platsidou, M. (1992). Structural systems in developing cognition, science, and education. In A. Demetriou, M. Shayer, & A. Efklides (Eds.), Neo-Piagetian theories of cognitive development: Implications and applications for education (pp. 79–103). London: Routledge.
Demetriou, A., Efklides, A., Platsidou, M. (1993). The architecture and dynamics of developing mind: Experiential structuralism as a frame for unifying cognitive developmental theories. Monographs of the Society for Research in Child Development, 58, (Serial No. 234).
Demetriou, A., Christou, C., Spanoudis, G., Platsidou, M. (2002). The development of mental processing: Efficiency, working memory, and thinking. Monographs of the Society of Research in Child Development, 67, (Serial No. 268).
Demetriou, A., Kyriakides, L., & Avraamidou, C. (2003). The missing link in the relations between intelligence and personality. Journal of Research in Personality, 37, 547–581.
Demetriou, A., Zhang, X. K., Spanoudis, G., Christou, C., Kyriakides, L., & Platsidou, M. (2005). The architecture, dynamics and development of mental processing: Greek, Chinese or universal? Intelligence, 33, 109–141.
Demetriou, A., Mouyi, A., & Spanoudis, G. (2008). Modeling the structure and development of g. Intelligence, 5, 437–454.
Demetriou, A., Mouyi, A., & Spanoudis, G. (2010a). The development of mental processing. In W. F. Overton (Ed.), Biology, cognition and methods across the life-span. Vol. 1: Handbook of life-span development (pp. 306–343). Hoboken: Wiley (Editor-in-chief: R. M. Lerner).
Demetriou, A., Spanoudis, G., & Mouyi, A. (2010b). A three-level model of the developing mind: Functional and neuronal substantiation. In M. Ferrari & L. Vuletic (Eds.), The Developmental relations between mind, brain, and education: Essays in honor of Robbie Case (pp. 9–48). New York: Springer.
Detterman, D. K. (2000). General intelligence and the definition of phenotypes. In G. R. Bock, J. A. Goode, & K. Webb (Eds.), The nature of intelligence. Novartis Foundation Symposium 233 (pp. 136–148). Chichester: Wiley.
Dewar, K., & Xu, F. (2010). Induction, overhypothesis, and the origin if abstract knowledge: Evidence from 9-month-old infants. Psychological Science, 21, 1871–1877.
diSessa, A. A. (2004). Metarepresentation: Native competence and targets for instruction. Cognition and Instruction, 22, 293–331.
Dixon, J. A., Stephen, D. G., Boncoddo, R. A., & Anastas, J. (2010). The self-organization of cognitive structure. In B. Ross (Ed.), The psychology of learning & motivation (Vol. 52, pp. 343–384). San Diego: Elsevier.
Duncan, J. (2010). How intelligence happens. New Haven: Yale University Press.
Efklides, A., Demetriou, A., & Gustafsson, J.-E. (1992). Training, cognitive change and individual differences. In A. Demetriou, M. Shayer, & A. Efklides (Eds.), Neo-piagetian theories of cognitive development: Implications and applications for education (pp. 122–143). London: Routledge.
Engel de Abreu, P. M. J., Conway, A. R. A., & Gathercole, S. E. (2010). Working memory and fluid intelligence in young children. Intelligence, 38, 552–561.
English, L. D. (1998). Children’s reasoning in solving relational problems of deduction. Thinking and Reasoning, 4, 249–281.
Ennis, R. H. (1962). A concept of critical thinking. Harvard Educational Review, 32, 81–111.
Ennis, R. H. (1987). A taxonomy of critical thinking dispositions and abilities. In J. Baron & R. Sternberg (Eds.), Teaching thinking skills: Theory and practice (pp. 9–26). New York: W.H. Freeman.
Ennis, R. H. (1996). Critical thinking. Upper Saddle River: Prentice-Hall.
Ercikan, K. (2006). Developments in assessment of student learning. In P. A. Alexander & P. H. Winne (Eds.), Handbook of educational psychology (pp. 929–952). Mahwah: Lawrence Erlbaum.
Ericsson, K. A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102, 211–245.
Ericsson, K. A., & Lehmann, A. C. (1996). Expert and exceptional performance: Evidence of maximal adaptation to task constraints. Annual Review of Psychology, 47, 273–305.
Finke, R. A. (1993). Mental imagery and creative discovery. In B. Roskos-Ewoldsen, M. J. Intons-Peterson, & R. E. Anderson (Eds.), Imagery, creativity, and discovery: A cognitive perspective (pp. 255–286). Amsterdam: Elsevier.
Fireman, G. (1996). Developing a plan for solving a problem: A representational shift. Cognitive Development, 11, 107–122.
Fischer, K. W. (1980). A theory of cognitive development: The control and construction of hierarchies of skills. Psychological Review, 87, 477–531.
Fisher, A. V. (2010). Mechanisms of induction early in development. In M. Banich & D. Caccamise (Eds.), Generalization of knowledge: Multidisciplinary perspectives (pp. 89–112). New York: Psychology Press.
Flavell, J. H., Green, F. L., Flavell, E. R. (1995).Young children’s knowledge about thinking. Monographs of the Society for Research in Child Development, 60 (1, Serial No. 243).
Flavell, J. H., Green, F. L., Flavell, E. R., & Grossman, J. B. (1997). The development of children’s knowledge about inner speech. Child Development, 68, 39–47.
Flook, L., Smalley, S. L., Kitil, M. J., Galla, B. M., Kaiser-Greenland, S., Locke, et al. (2010). Effects of mindfulness awareness practices on executive functions in elementary school children. Journal of Applied School Psychology, 26, 70–95.
Flynn, J. R. (2009). What is intelligence: Beyond the Flynn effect. Cambridge: Cambridge University Press.
Fodor, J. A. (1976). The language of thought. Hassocks: Harvester Press.
Furedy, C., & Furedy, J. (1985). Critical thinking: Towards research and dialogue. In Donald & Sullivan (Eds.), Using research to improve teaching (New Directions for Teaching and Learning No. 23). San Francisco: Jossey-Bass.
Gardner, H. (1983). Frames of mind. The theory of multiple intelligences. New York: Basic Books.
Gauffroy, C., & Barrouillet, P. (2011). The primacy of thinking about possibilities in the development of reasoning. Developmental Psychology, 47, 1000–1011.
Gelman, S. A. (2003). The essential child. Oxford: Oxford University Press.
Gelman, R., & Brenneman, K. (1994). First principles can support both universal and culture-specific learning about number and music. In L. Hirschfeld & S. Gelman (Eds.), Mapping the mind: Domains, culture and cognition (pp. 369–390). Cambridge: Cambridge University Press.
Gelman, S. A., & Coley, J. D. (1990). The importance of knowing a dodo is a bird: Categories and inferences in 2-year-old children. Developmental Psychology, 26, 796–804.
Gentner, D. (1989). The mechanisms of analogical learning. In S. Vosniadou & A. Ortony (Eds.), Similarity and analogical reasoning (pp. 199–241). Cambridge: Cambridge University Press.
Gentner, D., & Rattermann, M. J. (1991). Language and the career of similarity. In S. A. Gelman & J. P. Byrnes (Eds.), Perspectives on language and thought: Interrelations in development (pp. 225–277). Cambridge: Cambridge University Press.
Gibson, E. J., & Pick, A. D. (2003). An ecological approach to perceptual learning and development. Oxford: Oxford University Press.
Glassner, A., & Schwarz, B. B. (2007). What stands and develops between creative and critical thinking? Argumentation? Thinking Skills and Creativity, 2, 10–18.
Gobet, F. (1998). Expert memory: A comparison of four theories. Cognition, 66, 115–152.
Grigorenko, E. L. (2002). Other than g. The value of persistence. In R. J. Sternberg & E. L. Grigorenko (Eds.), The general factor of intelligence: How general is it? (pp. 299–327). Mahwah: Lawrence Erlbaum.
Gustafsson, J.-E. (1984). A unifying model for the structure of intellectual abilities. Intelligence, 8, 179–203.
Gustafsson, J.-E. (2008). Schooling and intelligence: Effects of track of study on level and profile of cognitive abilities. In P. C. Kyllonen, R. D. Roberts, & L. Stankov (Eds.), Extending intelligence: Enhancement and new constructs (pp. 37–59). New York: Lawrence Erlbaum.
Gustafsson, J. E., & Undheim, J. O. (1996). Individual differences in cognitive functions. In D. C. Berliner & R. C. Calfee (Eds.), Handbook of educational psychology (pp. 186–242). New York: Macmillan.
Halford, G. S. (1993). Children’s understanding: The development of mental models. Hillsdale: Lawrence Erlbaum.
Halford, G. S., Wilson, W. H., & Phillips, S. (1998). Processing capacity defined by relational complexity: Implications for comparative, developmental, and cognitive psychology. The Behavioral and Brain Sciences, 21, 803–864.
Handley, S. J., Capon, A., Beveridge, M., Dennis, I., Evans, J. St. B. T. (2004). Working memory, inhibitory control and the development of children’s reasoning. Thinking and Reasoning, 10, 175–195.
Harris, P., & Nunez, M. (1996). Understanding of permission rules by preschool children. Child Development, 67, 1572–1591.
Harter, S. (1999). The construction of the self: A developmental perspective. New York: The Guilford Press.
Haun, D. B. M., Jordan, F. M., Vallortigara, G., & Clayton, N. S. (2010). Origins of spatial, temporal and numerical cognition: Insights from comparative psychology. Trends in Cognitive Sciences, 14, 552–560.
Heit, E., & Rotello, C. M. (2010). Relations between inductive reasoning and deductive reasoning. Journal of Experimental Psychology. Learning, Memory, and Cognition, 36, 805–812.
Hirschfeld, L. A., & Gelman, S. A. (Eds.). (1994). Mapping the mind: Domain specificity in cognition and culture. New York: Cambridge University Press.
Hmelo-Silver, C. E., & Pfeffer, M. G. (2004). Comparing expert and novice understanding of a complex system from the perspective of structures, behaviors, and functions. Cognitive Science, 28, 127–138.
Holland, J., Holyoak, K., Nisbett, R., & Thagard, P. (1986). Induction: Processes of inference, learning, and discovery. Cambridge: MIT Press.
Hornung, C., Brunner, M., Reuter, R. A. P., & Martin, R. (2011). Children’s working memory: Its structure and relationship to fluid intelligence. Intelligence, 39, 210–221.
Hunt, E. B. (2002). Thoughts on thought. Mahwah: Lawrence Erlbaum.
Hunt, E. B. (2011). Human intelligence. New York: Cambridge University Press.
Huttenlocher, J., Vasilyeva, M., Newcombe, N., & Duffy, S. (2008). Developing symbolic capacity one step at a time. Cognition, 106, 1–12.
Jacobs, J. E., & Klaczynski, P. A. (2002). The development of judgment and decision making during childhood and adolescence. Current Directions in Psychological Science, 11, 145–149.
Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Perrig, W. J. (2008). Improving fluid intelligence with training on working memory. Proceedings of the National Academy of Sciences, 105, 6829–6833.
Jensen, A. R. (1998). The g factor: The science of mental ability. Westport: Praeger.
Johansen, M. K., & Palmeri, T. J. (2002). Are there representational shifts during category learning? Cognitive Psychology, 45, 482–553.
Johnson, W., te Nijenhuis, J., & Bouchard, T. J. (2008). Still just 1 g: Consistent results from five test batteries. Intelligence, 36, 81–95.
Johnson-Laird, P. N. (2001). Mental models and deduction. Trends in Cognitive Sciences, 5, 434–442.
Jonassen, D. H. (2000). Toward a design theory of problem solving. Educational Technology Research and Development, 48, 63–85.
Jonassen, D. H. (2003). Learning to solve problems: An instructional design guide. New York: Pfeifer.
Jones, L., & Stuth, G. (1997). The uses of mental imagery in athletics: An overview. Applied and Preventive Psychology, 6, 101–115.
Kagan, J. (2009). The three cultures: Natural sciences, social sciences, and the humanities in the 21st century. Cambridge: Cambridge University Press.
Kail, R. (1991). Developmental change in speed of processing during childhood and adolescence. Psychological Bulletin, 109, 490–501.
Kail, R. (1993). Processing time decreases globally at an exponential rate during childhood and adolescence. Journal of Experimental Child Psychology, 56, 254–265.
Kalyuga, S., & Hanham, J. (2011). Instructing in generalized knowledge structures to develop flexible problem solving skills. Computers in Human Behavior, 27, 63–68.
Kalyuga, S., Renkl, A., & Paas, F. (2010). Facilitating flexible problem solving: A cognitive load perspective. Educational Psychology Review, 22, 175–186.
Kargopoulos, P., & Demetriou, A. (1998). Logical and psychological partitioning of mind: Depicting the same picture? New Ideas in Psychology, 16, 61–88.
Karmiloff-Smith, A. (1992). Beyond modularity: A developmental perspective on cognitive science. Cambridge: MIT Press.
Keen, R. (2011). The development of problem solving in young children: A critical cognitive skill. Annual Review of Psychology, 62, 1–21.
Keil, F. C. (2011). Science starts early. Science, 331, 1022–1023.
Keogh, B. K. (2003). Temperament in the classroom: Understanding individual differences. Baltimore: Brookes Publishing.
King, P. M., & Kitchener, K. S. (1994). Developing reflective judgment. New York. Jossey-Bass.
Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41, 75–86.
Klaczynski, P. A., & Daniel, D. B. (2005). Individual differences in conditional reasoning: A dual-process account. Thinking and Reasoning, 11, 305–325.
Klauer, K. C., Meiser, T., & Naumer, B. (2000). Training propositional reasoning. The Quarterly Journal of Experimental Psychology, 53, 868–895.
Klingberg, T., Forssberg, H., & Westerberg, H. (2002). Training of working memory in children with ADHD. Journal of Clinical and Experimental Neuropsycholy, 24(6), 781–791.
Kopp, C. B. (2011). Development in the early years: Socialization, motor development, and consciousness. Annual Review of Psychology, 62, 165–187.
Krumm, S., Ziegler, M., & Buehner, M. (2008). Reasoning and working memory as predictors of school grades. Learning and Individual Differences, 18, 248–257.
Kuhn, D. (1991). The skills of argument. New York: Cambridge University Press.
Kuhn, D. (2009). Do students need to be taught how to reason? Educational Research Review, 4, 1–6.
Kuhn, D., & Pease, M. (2006). Do children and adults learn differently? Journal of Cognition and Development, 7, 279–293.
Kyllonen, P., & Christal, R. E. (1990). Reasoning ability is (little more than) working-memory capacity? Intelligence, 14, 389–433.
Kyriakides, L., & Luyten, H. (2009). The contribution of schooling to the cognitive development of secondary education students in Cyprus: An application of regression discontinuity with multiple cut-off points. School Effectiveness and School Improvement, 20, 167–186.
Labouvie-Vief, G. (2005). Self-with-other representations and the organization of the self. Journal of Research in Personality, 39, 185–205.
Leslie, A., Friedman, O., & German, T. P. (2004). Core mechanisms in “theory of mind”. Trends in Cognitive Sciences, 12, 528–533.
Linn, M. C., & Eylon, B.-S. (2011). Science learning and instruction: Taking advantage of technology to promote knowledge integration. London: Routledge.
Lynn, R., & Vanhanen, T. (2006). IQ and global inequality. Augusta: Washington Summit Publishers.
Mandler, J. M. (2004). The foundations of mind. Oxford: Oxford University Press.
Markovits, H., & Barrouillet, P. (2002). The development of conditional reasoning: A mental model account. Developmental Review, 22, 5–36.
McBride-Chang, C., Zhou, Y., Cho, J.-R., Aram, D., Levin, I., & Tolchinsky, L. (2011). Visual spatial skill: A consequence of learning to read? Journal of Experimental Child Psychology, 109, 256–262.
McCune, L. (2008). How children learn to learn language. New York: Oxford University Press.
Meltzoff, A. N., Kuhl, P. K., Movellan, J., & Sejnowski, T. J. (2009). Foundations for a new science of learning. Science, 325, 284–288.
Mercier, H., & Sperber, D. (2011). Why do humans reason? Arguments for an argumentative theory. Behavioral and Brain Sciences (in press).
Miller, L. T., & Vernon, P. A. (1992). The general factor in short-term memory, intelligence, and reaction time. Intelligence, 16, 5–29.
Miller, S. A., Custer, W. L., & Nassau, G. (2000). Children’s understanding of the necessity of logically necessary truths. Cognitive Development, 15, 383–403.
Molenbergs, P., Cunnigton, R., & Mattingley, J. B. (2009). Is the mirror system involved in imitation? A short review and meta-analysis. Neuroscience and Behavioral Reviews, 33, 975–980.
Moshman, D. (1990). The development of metalogical understanding. In W. F. Overton (Ed.), Reasoning, necessity, and logic: Developmental perspectives (pp. 205–225). Hillsdale: Lawrence Erlbaum.
Moshman, D. (1994). Reasoning, metareasoning and the promotion of rationality. In A. Demetriou & A. Efklides (Eds.), Mind, intelligence, and reasoning: Structure and development (pp. 135–150). Amsterdam: Elsevier.
Moshman, D. (2011). Adolescent rationality and development: Cognition, morality, and identity (3rd ed.). New York: Psychology Press.
Mouyi, A. (2008). Developmental dynamics binding processing efficiency, working memory, and reasoning: A longitudinal study. Unpublished doctoral dissertation. Nicosia: University of Cyprus.
Nesher, P., & Sukenik, M. (1991). The effect of formal representation on the learning of ratio concepts. Learning and Instruction, 1, 161–175.
Nisbett, R. E. (2009). Intelligence and how to get it: Why schools and cultures count. New York: Norton.
Olson, D. (2003). Psychological theory and educational reform: How school remakes mind and society. Cambridge: Cambridge University Press.
Overton, W. F. (2010). Life-span development: Concepts and issues. In W. F. Overton (Ed.), Biology, cognition and methods across the life-span. Vol. 1: Handbook of life-span development (pp. 1–29). Hoboken: Wiley (Editor-in-chief: Lerner RM).
Overton, W. F., Byrnes, J. P., & O’ Brien, D. P. (1985). Developmental and individual differences in conditional reasoning: The role of contradiction training and cognitive style. Developmental Psychology, 21, 692–701.
Panaoura, A., Gagatsis, A., & Demetriou, A. (2009). An intervention to the mathematical performance: Self-regulation in mathematics and mathematical modeling. Acta Didactica Universitatis Comenianae, 9, 63–79.
Pascal-Leone, J. (1988). Organismic processes for neo-Piagetian theories: A dialectical causal account of cognitive development. In A. Demetriou (Ed.), The neo-Piagetian theories of cognitive development: Toward an integration (pp. 25–64). Amsterdam: North-Holland.
Pascarella, E. T., & Terenzin, P. T. (2005). How college affects students. San Francisco: Jossey-Bass.
Pascual-Leone, J. (1970). A mathematical model for the transition rule in Piaget’s developmental stages. Acta Psychologica, 63, 301–345.
Piaget, J. (1970). Piaget’s theory. In P. H. Mussen (Ed.), Carmichael’s handbook of child development (pp. 703–732). New York: Wiley.
Piaget, J. (1980). Concerning creativity: Three methods. In J.-C. Bringuier (Ed.), Conversations with Jean Piaget (pp. 126–132). Chicago: University of Chicago Press (Original work published in 1977).
Piaget, J. (2001). Studies in reflecting abstraction. London: Psychology Press.
Piazza, M. (2010). Neurocognitive start-up tools for symbolic number representations. Trends in Cognitive Sciences, 14, 542–551.
Pind, J., Gunnarsdottir, E. K., & Johannesson, H. S. (2003). Raven’s standard progressive matrices: New school age norms and a study of the test’s validity. Personality and Individual Differences, 34, 375–386.
Posner, M. I., & Rothbart, M. K. (2006). Educating the human brain. New York: American Psychological Association.
Printz, W. (2003). Emerging selves: Representational foundations of subjectivity. Consciousness and Cognition, 12, 515–528.
Raffray, C. N., & Pickering, M. J. (2010). How do people construct logical form during language comprehension? Psychological Science, 21(8), 1090–1097.
Raftopoulos, A., & Constantinou, C. P. (2004). Types of cognitive change: A dynamical, connectionist account. In A. Demetriou & A. Raftopoulos (Eds.), Developmental change: Theories, models and measurement (pp. 74–117). Cambridge: Cambridge University Press.
Rasmussen, C., & Bisanz, J. (2005). Representation and working memory in early arithmetic. Journal of Experimental Child Psychology, 91, 137–157.
Reed, S. K. (1993). Imagery and discovery. In B. Roskos-Ewoldsen, M. J. Intons-Peterson, & R. E. Anderson (Eds.), Imagery, creativity, and discovery: A cognitive perspective (pp. 287–328). Amsterdam: Elsevier.
Reynolds, C. A., Finkel, D., McArdle, J. J., Gatz, M., Berg, S., & Pedersen, N. L. (2005). Quantitative genetic analysis of latent growth curve models of cognitive abilities in adulthood. Developmental Psychology, 41, 3–16.
Ricco, R. B. (2010). The development of deductive reasoning across the lifespan. In W. F. Overton (Ed.), Biology, cognition, and methods across the life-span. Vol.1: Handbook of life-span development (pp. 391–430). Hoboken: Wiley (Editor-in-chief: R. M. Lerner).
Ricco, R. B., & Overton, W. F. (2011). Dual systems Competence - Procedural processing: A relational developmental systems approach to reasoning. Developmental Review doi:10.1016/j.dr.2011.07.005.
Riegel, K. F. (1973). Dialectic operations: The final period of cognitive development. Human Development, 16, 346–370.
Rindermann, H., & Neubauer, A. C. (2004). Processing speed, intelligence, creativity, and school performance: Testing of causal hypotheses using structural equation models. Intelligence, 32, 573–589.
Rips, L. J. (1994). The psychology of proof. Deductive reasoning in human thinking. Cambridge: MIT Press.
Rizzolatti, G., & Craighero, L. (2004). The mirror-neuron system. Annual Review of Neuroscience, 27, 169–192.
Rohde, T. E., & Thompson, L. A. (2007). Predicting academic achievement with cognitive ability. Intelligence, 35, 83–92.
Rosch, E. (1975). Cognitive representations of semantic categories. Journal of Experimental Psychology: General, 104, 192–322.
Runco, M. A., & Pritzker, S. R. (Eds.). (1999). Encyclopedia of creativity. San Diego: Academic.
Sackett, P. R., Schmitt, N., Ellingson, J. E., & Kabin, M. B. (2001). High-stakes testing in employment, credentialing, and higher education: Prospects in a post-affirmative-action world. American Psychologist, 56, 302–318.
Salthouse, T. A. (2000). Aging and measures of processing speed. Biological Psychology, 54, 35–54.
Schaie, K. W. (1996). Adulthood and old age. In T. Husen & T. N. Postlewaithe (Eds.), International encyclopedia of education (pp. 163–168). Oxford: Pergamon.
Shayer, M., & Adey, P. (2002). Learning intelligence: Cognitive acceleration across the curriculum from 5 to 15 years. Milton Keynes: Open University Press.
Shayer, M., & Adhami, M. (2003). Realising the cognitive potential of children 5–7 with a mathematics focus. International Journal of Educational Research, 39, 743–775.
Shayer, M., & Wylam, H. (1978). The distribution of Piagetian stages of thinking in British middle and secondary school children II: 14–16 year-olds and sex differentials. British Journal of Educational Psychology, 948, 62–70.
Shayer, M., Küchemann, D. E., & Wylam, H. (1976). The distribution of Piagetian stages of thinking in British middle and secondary school children. British Journal of Educational Psychology, 46, 164–173.
Shayer, M., Demetriou, A., & Pervez, M. (1988). The structure and scaling of concrete operational thought: Three studies in four countries. Genetic, Social, and General Psychology Monographs, 114, 307–376.
Sheppard, L. D., & Vernon, P. A. (2008). Intelligence and speed of information-processing: A review of 50 years of research. Personality and Individual Differences, 44, 535–551.
Siegel, H. (1988). Educating reason: Rationality, critical thinking, and education. London: Routledge.
Siegel, H. (1989a). Epistemology, critical thinking, and critical thinking pedagogy. Argumentation, 3, 127–140.
Siegel, H. (1989b). The rationality of science, critical thinking, and science education. Synthese, 80, 9–41.
Siegler, R. S. (1996). Emerging minds: The process of change in children’s thinking. Oxford: Oxford University Press.
Simonton, D. K. (2000). Creative development as acquired expertise: Theoretical issues and an empirical test. Developmental Review, 20, 283–318.
Sloutsky, V. M., & Fisher, A. V. (2011). The development of categorization. Psychology of Learning and Motivation, 54, 141–166.
Smith, L. (2009). Piaget’s pedagogy. In U. Muller, J. I. M. Carpendale, & L. Smith (Eds.), The Cambridge companion to Piaget (pp. 324–343). Cambridge: Cambridge University Press.
Snow, R. (1989). Aptitude–treatment interaction as a framework on individual differences in learning. In P. Ackermann, R. J. Sternberg, & R. Glaser (Eds.), Learning and individual differences (pp. 13–59). New York: W.H. Freeman.
Spearman, C. (1904). “General intelligence” objectively determined and measured. The American Journal of Psychology, 15, 201–293.
Stanovich, K. E. (2009). What intelligence tests miss: The psychology of rational thought. New Haven: Yale University Press.
Stearns, P. N. (2006). Childhood in world history. London: Routledge.
Stein, M., & Burchartz, B. (2009). The Invisible wall project: Reasoning and problem solving processes of primary and lower secondary students. Mathematical Thinking and Learning, 8, 65–90.
Sternberg, R. J. (Ed.). (1999). Handbook of creativity. New York: Cambridge University Press.
Sternberg, R. J. (2005). Creativity or creativities? International Journal of Human Computer Studies, 63, 370–382.
Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4, 295–312.
Téglás, E., Vul, E., Girotto, V., Gonzalez, M., Tenenbaum, J. B., & Bonatti, L. (2011). Pure reasoning in 12-month-old infants as probabilistic inference. Science, 332, 1054–1059.
Thorell, L. B., Lindqvist, S., Bergman Nutley, S., Bohlin, G., & Klingberg, T. (2009). Training and transfer effects of executive functions in preschool children. Developmental Science, 12, 106–113.
Tillman, C. M., Nyberg, L., & Bohlin, G. (2008). Working memory components and intelligence in children. Intelligence, 36, 394–402.
Tsamir, P., Tirosh, D., Tabach, M., & Levenson, E. (2010). Multiple solution methods and multiple outcomes—Is it a task for kindergarten children? Educational Studies in Mathematics, 73, 217–231.
Tyrrel, D. J., Stauffer, L. B., & Snowman, L. G. (1991). Perception of abstract identity/difference relationships by infants. Infant Behavior & Development, 14, 125–129.
Unsworth, N., & Spillers, G. J. (2010). Working memory capacity: Attention control, secondary memory, or both? A direct test of the dual-component model. Journal of Memory and Language, 62, 392–406.
van der Maas, H. L. J., Dolan, C. V., Grasman, R. P. P. P., Wicherts, G. J. M., Huizenga, H. M., & Raijmakers, M. E. J. (2006). A dynamical model of general intelligence: The positive manifold of intelligence by mutualism. Psychological Review, 113, 842–861.
van Fraassen, B. C. (2010). Scientific representation: Paradoxes of perspective. Oxford: Oxford University Press.
van Geert, P. (1994). Dynamic systems of development: Change between complexity and chaos. New York: Harvester Wheatsheaf.
Vosniadou, S. (Ed.). (2008). International handbook of research on conceptual change. London: Routledge.
Vosniadou, S., & Brewer, W. F. (1992). Mental models of the earth: A study of conceptual change in childhood. Cognitive Psychology, 24, 535–585.
Wagner, S., Winner, E., Cicchetti, D., & Gardner, H. (1981). "Metaphorical" mapping in human infants. Child Development, 52, 728–731.
Watson, G. B., & Glaser, E. M. (1980). WGCTA Watson-Glaser Critical Thinking Appraisal Manual: Forms A and B. San Antonio: The Psychological Corporation.
Wellman, H. M. (1990). The child’s theory of mind. Cambridge: Bradford.
Westerberg, H. (2004). Working memory: Development, disorders, and training. Stockholm: Karolinska Institutet.
Whitherington, D. C. (2011). Taking emergence seriously: The centrality of circular causality for dynamic systems approaches to development. Human Development, 54, 66–92.
Wildenger, L. K., Hofer, B. K., & Burr, J. E. (2010). Epistemological development in very young knowers. In L. Bendixen & F. Haerle (Eds.), Personal epistemology in the classroom: Theory, research, and implications for practice (pp. 220–257). Cambridge: Cambridge University Press.
Williamson, R. A., Jaswal, V. K., & Meltzoff, A. N. (2010). Learning the rules: Observation and imitation of a sorting strategy by 36-month-old children. Developmental Psychology, 46, 57–65.
Winship, C., & Korenman, S. (1997). Does staying in school make you smarter? The effect of education on IQ in the Bell Curve. In B. Devlin, S. E. Fienberg, D. P. Resnick, & K. Roeder (Eds.), Intelligence, genes, and success. Scientists respond to the Bell Curve (pp. 215–234). New York: Springer.
Wood, J. N. (2011). A core knowledge architecture of visual working memory. Journal of Experimental Psychology. Human Perception and Performance, 37, 357–381.
Xu, F., & Garcia, V. (2008). Intuitive statistics by 8-month-old infants. Proceeding of the National Academy of Sciences, 105, 5012–5015.
Yamagata, K. (2007). Differential emergence of representational systems: Drawings, letters, and numerals. Cognitive Development, 22, 244–257.
Yerushalmy, M. (1997). Mathematizing verbal descriptions of situations: A language to support modeling. Cognition and Instruction, 15, 207–264.
Zelazo, P. D. (2004). The development of conscious control in childhood. Trends in Cognitive Sciences, 8, 12–17.
Zelazo, P. D. (2011). Mindfulness training in childhood. Human Development, 54, 61–65.
Zelazo, P. D., & Frye, D. (1998). Cognitive complexity and control: The development of executive function. Current Directions in Psychological Science, 7, 121–126.
Zelazo, P. D., Müller, U., Frye, D., Marcovitch, S., Argitis, G., Boseovski, J., Chiang, J. K., Hongwanishkul, D., Schuster, B. V., Sutherland, S., Carlson, S. M. (2003). The development of executive function in early childhood. Monographs of the Society for Research in Child Development, 68, (Serial No. 3).
Zelazo, P. D., Qu, L., & Müller, U. (2005). Hot and cool aspects of executive function: Relations with early development. In W. Schneider, R. Schumann, R. Hengsteler, & B. Sodian (Eds.), Young children’s cognitive development: Interrelationships among executive functioning, working memory, verbal ability, and theory of mind (pp. 71–93). Mahwah: Lawrence Erlbaum.
Zosh, J. M., Halberda, J., & Feigenson, L. (2011). Memeory for multiple visual ensembles in infancy. Journal of Experimental Psychology. General, 140, 141–158.