La emergencia de la planificación cognitiva a corto plazo : desempeño de niños preescolares en una tarea de resolución de problemas.
El objetivo del presente estudio es identificar los patrones del proceso de planificación cognitiva de niños pequeños que tienen lugar en el contexto de una situación de resolución de problemas. Utilizando un enfoque de sistemas dinámicos complejos, el presente estudio describe las principales características de la planificación cognitiva a corto plazo. Los participantes fueron 45 niños en edad preescolar (3,5 y 3,6 años), de los cuales se describen en detalle dos estudios de caso. El método microgenético fue utilizado para capturar, en dos meses, el proceso de planificación en tiempo real durante seis sesiones de recogida de datos. De esta manera se obtuvieron 96 puntos de medición por cada niño de la muestra. Como instrumento se utilizó u... Ver más
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Marlenny Guevara Guerrero - 2015
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La emergencia de la planificación cognitiva a corto plazo : desempeño de niños preescolares en una tarea de resolución de problemas. Preescolares Acta Colombiana de Psicología Artículo de revista 2 18 Variabilidade Técnica state space grid Pré-escolares Planejamento cognitivo Videogame Desenvolvimento cognitivo Variabilidad Técnica state space grid Universidad Católica de Colombia Planificación cognitiva Desarrollo cognitivo Juego de computador Puche-Navarro, Rebeca Guevara Guerrero, Marlenny El objetivo del presente estudio es identificar los patrones del proceso de planificación cognitiva de niños pequeños que tienen lugar en el contexto de una situación de resolución de problemas. Utilizando un enfoque de sistemas dinámicos complejos, el presente estudio describe las principales características de la planificación cognitiva a corto plazo. Los participantes fueron 45 niños en edad preescolar (3,5 y 3,6 años), de los cuales se describen en detalle dos estudios de caso. El método microgenético fue utilizado para capturar, en dos meses, el proceso de planificación en tiempo real durante seis sesiones de recogida de datos. De esta manera se obtuvieron 96 puntos de medición por cada niño de la muestra. Como instrumento se utilizó una tarea de resolución de problemas en un formato virtual, que exige la elaboración de un plan para alcanzar la meta. La primera parte del análisis consistió en caracterizar los desempeños de planificación de la muestra mediante el análisis de conglomerados. Como resultado, dos clústers fueron identificados. Posteriormente, para ilustrar los desempeños de la muestra, se seleccionó al azar un niño de cada clúster como estudio de caso. La segunda parte del análisis consistió en describir los dos estudios de caso. Se utilizó la técnica State Space Grids (SSG) para mostrar el surgimiento a corto plazo de la planificación cognitiva. Los resultados de los estudios de caso revelaron dos tipos de desempeño: un patrón de reducción y un patrón estable de planificación cognitiva. Estos patrones en los desempeños indican la capacidad de los niños para integrar las restricciones de la tarea y considerar estados futuros en sus acciones. En contraste con la literatura, los resultados de este estudio revelan los recursos de habilidades de planificación en niños preescolares, tales como su auto-regulación de acciones dirigidas a una meta y la anticipación de futuros estados. Morganti F., Carassa A., Geminiani G. (2007) Planning optimal paths: A simple assessment of survey spatial knowledge in virtual environments. Computers in Human Behavior, 23(4), 1982P-1996. Rattermann, M. J., Spector, L., Grafman, J., Levin, H. and Harward, H. (2001), Partial and total-order planning: Evidence from normal and prefrontally damaged populations. Cognitive Science, 25, 941–975. doi: 10.1207/s15516709cog2506_3. Puche-Navarro, R., Combariza, E. & Ossa, J. C. (2012). La naturaleza no lineal de los funcionamientos inferenciales: Un estudio empírico con base en el humor gráfico [The nonlinear nature of the inferential performances: An empirical study based on the graphic humor]. Avances en Psicología Latinoamericana, 30(1) 27-38. Puche-Navarro, R. (2000). Formación de herramientas científicas en el niño pequeño [Emergence of scientific tools in the young child]. Bogotá: Arango Editores. Prabhakar, J., & Hudson, J. A. (2014). The development of future thinking: Young children’s ability to construct event sequences to achieve future goals. Journal of Experimental Child Psychology, http://dx.doi.org/10.1016/j.jecp.2014.02.004 . Phillips, L.H., Wynn, V.E., McPherson, S. & Gilhooly, K.J. (2001). Mental planning and the Tower of London task. Quarterly Journal of Experimental Psychology, 54, 579-598. Pea, R. D. (1982). What is planning development the development of? New Directions for Child Development: Children’s Planning Strategies, 18, 5–27. Newman, S.D., Greco, J.A., Lee, D. (2009). An fMRI study of the Tower of London: A look at problem structure differences. Brain Research, 1286, 123-132. Meindertsma, H. B., van Dijk, M. W., Steenbeek, H. W., & van Geert, P. L. (2013). Assessment of Preschooler’s Scientific Reasoning in Adult–Child Interactions: What Is the Optimal Context? Research in Science Education, 1-23. Miller, P. H. & Coyle, T. R. (1999). Developmental change: Lessons from microgenesis. En E. K. Scholnick, K. Nelson, S. A. Gelman & P. H. Miller (Eds.), Conceptual development. Piaget’s legacy. Rose, L. T. & Fischer, K. W. (2009) Dynamic Development: a neo-Piagetian perspective. En: J. I. M.Carpendale & U.Mueller (eds), The Cambridge Companion to Piaget (Cambridge, Cambridge University Press), pp. 400–421. McCormack, T., & Atance (2011). Planning in young children: A review. Developmental Review, 31(1), 1-31. Matute, E., Chamorro, Y., Inozemtseva, O., Barrios, O., Rosselli, M., & Ardila A. (2008). Efecto de la edad en una tarea de planificación y organización en escolares [Effect of age on task planning and school organization]. Rev Neurol, 47, 61-70. Lewis, M. D., Lamey, A. V., & Douglas, L. (1999). A new dynamic systems method for the analysis of early socioemotional development. Developmental Science, 2(4), 457–475. http://dx.doi.org/10.1111/1467-7687.00090 . Lamey, A., Hollenstein, T., Lewis, M.D., & Granic, I. (2004). GridWare (Version 1.1). [Computer software]. http://statespacegrids.org . Kunnen, S. & van Geert, P (2011). A Dynamic Systems Approach of Adolescent Development. In Kunnen, E.S. (Ed.), A dynamic systems approach to adolescent development. London-New York: Psychology Press (pp. 3-14). Kuhn, D. (1989). Children and adults as intuitive scientists. Psychological Review, 96, 674- 689. Kuhn, D. & Dean, D. (2004) Connecting scientific reasoning and causal inference Journal of cognition and development 5(2) 261-288. Kelso, J. A. S. (2000). Principles of dynamic pattern formation and change for a science of human behavior. In L. R. Bergman, R. B. Cairns, L. Nilsson, & L. Nystedt (Eds.), Developmental science and the holistic approach (pp. 63–83). Mahwah, NJ: Lawrence Erlbaum Associates. Rojas, T. (2006). Planificación cognitiva en la primera infancia: Una revisión bibliográfica [Cognitive planning in early childhood: a literature review]. Acta Colombiana de Psicología, 9(2), 101-114. Spencer, J.P. & Perone, S. (2008). Defending qualitative change: The view from dynamical systems theory. Child Development, 79, 1639-1647. Siegler, R. S. (2002). Variability and infant development. Infant Behavior & Development 25, 550–557. info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_2df8fbb1 http://purl.org/redcol/resource_type/ART info:eu-repo/semantics/publishedVersion http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 Text http://purl.org/coar/resource_type/c_6501 Zimmerman, C. (2007). The development of scientific thinking skills in elementary and middle school. Developmental Review, 27, 172-223. Siegler, R. S. (2006). Microgenetic analyses of learning. En W. Damon & R. M. Lerner (Series Eds.) & D. Kuhn & R. S. Siegler (Vol. Eds.), Handbook of child psychology: Volume 2: Cognition, perception, and language (6th ed., pp. 464-510). Hoboken, NJ: Wiley Yan, Z., & Fischer, K. (2002). Paper human development. Always under construction, dynamic variations in adult cognitive microdevelopment. Human Development, 45, 141-160. van Geert, P., & van Dijk, M. (2002). Focus on variability: New tools to study intra-individual variability in developmental data. Infant Behavior and Development, 25(4), 340-374. Kagan, J. (2008). In defense of qualitative changes in development, Child Development, 79, 1606-1624. van Geert, P. (2003). Dynamic systems approaches and modeling of developmental processes. In J. Valsiner and K. J. Conolly (Eds.), Handbook of developmental Psychology. London: Sage. pp. 640-672. van Dijk, M. & van Geert, P. (2007). Wobbles, humps and sudden jumps: A case study of continuity, discontinuity and variability in early language development. Infant and Child Development, 16, 7-33. van Dijk, M. & van Geert, P. (2011). Heuristic techniques for the analysis of variability as a dynamic aspect of change. Infancia y Aprendizaje, 34(2), 151-168. van Dijk, M. & van Geert, P. (2015). The nature and meaning of intraindividual variability in development in the early life span. In D. Manfred, K. Hooker, & M.J. Sliwinkski (Eds.), Handbook of Intraindividual Variability across the Life Span. (pp. 37-58). Routledge. Taylor and Francis group. Thelen, E., & Smith, L. B. (1994). A dynamic systems approach to the development of cognition and action. Cambridge (MA): Bradford Books/MIT Press. Siegler, R.S., & Crowley, K. (1991). The microgenetic method: A direct means for studying cognitive development. American Psychologist, 46, 606–620. Kaller, C. P., Rahm, B., Spreer, J., Mader, I., & Unterrainer, J. M. (2008). Thinking around the corner: The development of planning abilities. Brain and Cognition, 67, 360-370. Colunga, E., & Smith, L. (2008). Flexibility and variability: Essential to human cognition and the study of human cognition New Ideas in Psychology, 26 174–192. Hudson, J. A., Mayhew, E. M. Y., & Prabhakar, J. (2011). The development of episodic foresight: Emerging concepts and methods. Advances in Child Development and Behavior, 40, 95–137. application/pdf Adolph, K, Robinson S., Young, J, Gil Álvarez, F. (2008). What is the shape of developmental Change, Psychological Review 115(3), 527–543. Howe, M.L. & Lewis, M.D. (2005). The importance of dynamic systems approaches for understanding development. Developmental Review, 25(3-4), 247-251. Marlenny Guevara Guerrero - 2015 https://creativecommons.org/licenses/by-nc-sa/4.0/ Inglés https://actacolombianapsicologia.ucatolica.edu.co/article/view/111 Journal article Atance, C. M., & Meltzoff, A. N. (2005). My future self: Young children’s ability to anticipate and explain future states. Cognitive Development, 20, 341–361. Variability State space grid technique Preschoolers Cognitive planning Computer game Cognitive development The aim of this study is to identify patterns of the cognitive planning process of young children emerging in the context of a problem solving task. Using a complex dynamic systems approach, this paper depicts the main features of cognitive planning in the short term. Participants were 45 preschool children (aged 3.5 and 3.6 years) of which two case studies are described in detail. The microgenetic method was used to capture, in two months, the planning process in real time during six sessions of data collection. Thus, 96 measuring points were obtained for each child of the sample. The instrument used was a problem solving task in a virtual format, which requires the development of a plan to attain the goal. The first part of the analysis characterizes the children’s planning performance by means of cluster analysis. Two clusters were identified as a result of this analysis. In order to illustrate the performance of the sample, one child from each cluster was randomly selected as a case study. The second part of the analysis describes the two case studies. The State Space Grids (SSG) technique was used to show the short-term emergence of cognitive planning. Results of the case studies revealed two types of performance: a reduction pattern and a stable pattern of cognitive planning. These patterns indicate the ability of children to integrate the constraints of the task and consider future states in their actions. In contrast to the literature, the findings of this study reveal the resources in planning skills of preschoolers, such as self-regulation of actions aimed at attaining a goal and anticipation of future states. Atance, C. M. (2008). Current Directions in Psychological Science, 17 (4), 295-298. Publication Baker-Sennett, J., Matusov, E., & Rogoff, B. (2008). Children’s planning of classroom plays with Adult or child Direction. Social Development, 17(4), 998-1018. Baughman, F., & Cooper, R. (2007). Inhibition and Young children’s performance on the Tower of London Task. Cognitive Systems Research 8(3) 216-226. Hollenstein, T., Granic, I., Stoolmiller, M., & Snyder, J. (2004). Rigidity in parent-child interactions and the development of externalizing and internalizing behavior in early childhood. Journal of Abnormal Child Psychology, 32, 595-607. Hollenstein, T. (2007). State space grids: Analyzing dynamics across development. International Journal of Behavioral Development, 31, 384-396. Guevara, M. & Puche-Navarro, R. (2009). ¿Avanza y cambia la psicología del desarrollo hacia los sistemas dinámicos no lineales? [Is developmental psychology advancing and changing towards the nonlinear dynamic systems?] Revista Avances en Psicología Latinoamericana, 27(2), 327-340. Guevara, M., van Dijk, M., & van Geert, P. (2014, May). Building knowledge together: How communication and interaction in dyads supports scientific reasoning skills. Presented at the symposium ‘Peer interaction and Development’. 44th Annual Meeting of Jean Piaget Society, San Francisco, CA. Granott, N., Fischer, K.W., & Parziale, J. (in press). Bridging to the unknown: A fundamental mechanism in learning and problem-solving. In N. Granott & J. Parziale (Eds.), Microdevelopment. Cambridge, U.K.: Cambridge University Press. Fischer, K. W., & Bidell, T. R. (2006). Dynamic development of action, thought and emotion. In W. Damon & R. M. Lerner (Eds.), Theoretical models of human development Handbook of child psychology (6th ed., Vol. 1, pp. 313-399). New York: Wiley. Cox, R., & Smitsman, A. (2006). Action planning in young children’s tool use. Developmental Science, 9(6), 628-641. Combariza, E., Puche-Navarro, R. (2009). ¿Entonces, es multifractal la variabilidad? El uso de la wavelet para el estudio de los funcionamientos inferenciales en niños pequeños. En R., Puche-Navarro (comp.), ¿Es la mente no lineal? [Is the mind not lineal](pp. 111-135). Fondo Editorial de la Universidad del Valle. The emergence of cognitive short-term planning : performance of preschoolers in a problem-solving task. Claxton, L., McCarty, M., & Keen, R. (2009). Self-directed action affects planning in tool-use task with toddlers. Infant Behavior & Development, 32, 230-233. Chen, Y., & Keen, R. (2010). Movement planning reflects skill level and age changes in toddlers. Child Development, 81(6), 1846–1858. Cazzato, V., Basso, D., Cutini, S., & Bisiacchi, P. S. (2010). Gender differences in visuospatial planning: An eye movements study. Behavioral Brain Research, 206(2), 177-183. Bull, R., Espy, K. A., & Senn, T. E. (2004). A comparison of performance on the Towers of London and Hanoi in young children. Journal of Child Psychology and Psychiatry, 45,(4), 743-754. Bishop, D. V. M., Aamodt-Leeper, G., Creswell, C., McGurk, R., & Skuse, D. H. (2001). Differences in Cognitive Planning on the Tower of Hanoi Task: Neuropsychological Maturity or Measurement Error? Journal of Child Psychology and Psychiatric, 42(4), 551-556. Berg, W.K., Byrd, D.L., McNamara, J.P.H., & Case, K. (2010). Deconstructing the tower: Parameters and predictors of problem difficulty on the Tower of London task. Brain and Cognition, 72, 472-482 1909-9711 0123-9155 2015-07-01 2015-07-01T00:00:00Z https://actacolombianapsicologia.ucatolica.edu.co/article/download/111/266 2015-07-01T00:00:00Z 10.14718/ACP.2015.18.2.2 https://doi.org/10.14718/ACP.2015.18.2.2 27 13 |
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UNIVERSIDAD CATÓLICA DE COLOMBIA |
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https://nuevo.metarevistas.org/UNIVERSIDADCATOLICADECOLOMBIA/logo.png |
country_str |
Colombia |
collection |
Acta Colombiana de Psicología |
title |
La emergencia de la planificación cognitiva a corto plazo : desempeño de niños preescolares en una tarea de resolución de problemas. |
spellingShingle |
La emergencia de la planificación cognitiva a corto plazo : desempeño de niños preescolares en una tarea de resolución de problemas. Puche-Navarro, Rebeca Guevara Guerrero, Marlenny Preescolares Variabilidade Técnica state space grid Pré-escolares Planejamento cognitivo Videogame Desenvolvimento cognitivo Variabilidad Técnica state space grid Planificación cognitiva Desarrollo cognitivo Juego de computador Variability State space grid technique Preschoolers Cognitive planning Computer game Cognitive development |
title_short |
La emergencia de la planificación cognitiva a corto plazo : desempeño de niños preescolares en una tarea de resolución de problemas. |
title_full |
La emergencia de la planificación cognitiva a corto plazo : desempeño de niños preescolares en una tarea de resolución de problemas. |
title_fullStr |
La emergencia de la planificación cognitiva a corto plazo : desempeño de niños preescolares en una tarea de resolución de problemas. |
title_full_unstemmed |
La emergencia de la planificación cognitiva a corto plazo : desempeño de niños preescolares en una tarea de resolución de problemas. |
title_sort |
la emergencia de la planificación cognitiva a corto plazo : desempeño de niños preescolares en una tarea de resolución de problemas. |
title_eng |
The emergence of cognitive short-term planning : performance of preschoolers in a problem-solving task. |
description |
El objetivo del presente estudio es identificar los patrones del proceso de planificación cognitiva de niños pequeños que tienen lugar en el contexto de una situación de resolución de problemas. Utilizando un enfoque de sistemas dinámicos complejos, el presente estudio describe las principales características de la planificación cognitiva a corto plazo. Los participantes fueron 45 niños en edad preescolar (3,5 y 3,6 años), de los cuales se describen en detalle dos estudios de caso. El método microgenético fue utilizado para capturar, en dos meses, el proceso de planificación en tiempo real durante seis sesiones de recogida de datos. De esta manera se obtuvieron 96 puntos de medición por cada niño de la muestra. Como instrumento se utilizó una tarea de resolución de problemas en un formato virtual, que exige la elaboración de un plan para alcanzar la meta. La primera parte del análisis consistió en caracterizar los desempeños de planificación de la muestra mediante el análisis de conglomerados. Como resultado, dos clústers fueron identificados. Posteriormente, para ilustrar los desempeños de la muestra, se seleccionó al azar un niño de cada clúster como estudio de caso. La segunda parte del análisis consistió en describir los dos estudios de caso. Se utilizó la técnica State Space Grids (SSG) para mostrar el surgimiento a corto plazo de la planificación cognitiva. Los resultados de los estudios de caso revelaron dos tipos de desempeño: un patrón de reducción y un patrón estable de planificación cognitiva. Estos patrones en los desempeños indican la capacidad de los niños para integrar las restricciones de la tarea y considerar estados futuros en sus acciones. En contraste con la literatura, los resultados de este estudio revelan los recursos de habilidades de planificación en niños preescolares, tales como su auto-regulación de acciones dirigidas a una meta y la anticipación de futuros estados.
|
description_eng |
The aim of this study is to identify patterns of the cognitive planning process of young children emerging in the context of a problem solving task. Using a complex dynamic systems approach, this paper depicts the main features of cognitive planning in the short term. Participants were 45 preschool children (aged 3.5 and 3.6 years) of which two case studies are described in detail. The microgenetic method was used to capture, in two months, the planning process in real time during six sessions of data collection. Thus, 96 measuring points were obtained for each child of the sample. The instrument used was a problem solving task in a virtual format, which requires the development of a plan to attain the goal. The first part of the analysis characterizes the children’s planning performance by means of cluster analysis. Two clusters were identified as a result of this analysis. In order to illustrate the performance of the sample, one child from each cluster was randomly selected as a case study. The second part of the analysis describes the two case studies. The State Space Grids (SSG) technique was used to show the short-term emergence of cognitive planning. Results of the case studies revealed two types of performance: a reduction pattern and a stable pattern of cognitive planning. These patterns indicate the ability of children to integrate the constraints of the task and consider future states in their actions. In contrast to the literature, the findings of this study reveal the resources in planning skills of preschoolers, such as self-regulation of actions aimed at attaining a goal and anticipation of future states.
|
author |
Puche-Navarro, Rebeca Guevara Guerrero, Marlenny |
author_facet |
Puche-Navarro, Rebeca Guevara Guerrero, Marlenny |
topicspa_str_mv |
Preescolares Variabilidade Técnica state space grid Pré-escolares Planejamento cognitivo Videogame Desenvolvimento cognitivo Variabilidad Técnica state space grid Planificación cognitiva Desarrollo cognitivo Juego de computador |
topic |
Preescolares Variabilidade Técnica state space grid Pré-escolares Planejamento cognitivo Videogame Desenvolvimento cognitivo Variabilidad Técnica state space grid Planificación cognitiva Desarrollo cognitivo Juego de computador Variability State space grid technique Preschoolers Cognitive planning Computer game Cognitive development |
topic_facet |
Preescolares Variabilidade Técnica state space grid Pré-escolares Planejamento cognitivo Videogame Desenvolvimento cognitivo Variabilidad Técnica state space grid Planificación cognitiva Desarrollo cognitivo Juego de computador Variability State space grid technique Preschoolers Cognitive planning Computer game Cognitive development |
citationvolume |
18 |
citationissue |
2 |
publisher |
Universidad Católica de Colombia |
ispartofjournal |
Acta Colombiana de Psicología |
source |
https://actacolombianapsicologia.ucatolica.edu.co/article/view/111 |
language |
Inglés |
format |
Article |
rights |
info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 Marlenny Guevara Guerrero - 2015 https://creativecommons.org/licenses/by-nc-sa/4.0/ |
references_eng |
Morganti F., Carassa A., Geminiani G. (2007) Planning optimal paths: A simple assessment of survey spatial knowledge in virtual environments. Computers in Human Behavior, 23(4), 1982P-1996. Rattermann, M. J., Spector, L., Grafman, J., Levin, H. and Harward, H. (2001), Partial and total-order planning: Evidence from normal and prefrontally damaged populations. Cognitive Science, 25, 941–975. doi: 10.1207/s15516709cog2506_3. Puche-Navarro, R., Combariza, E. & Ossa, J. C. (2012). La naturaleza no lineal de los funcionamientos inferenciales: Un estudio empírico con base en el humor gráfico [The nonlinear nature of the inferential performances: An empirical study based on the graphic humor]. Avances en Psicología Latinoamericana, 30(1) 27-38. Puche-Navarro, R. (2000). Formación de herramientas científicas en el niño pequeño [Emergence of scientific tools in the young child]. Bogotá: Arango Editores. Prabhakar, J., & Hudson, J. A. (2014). The development of future thinking: Young children’s ability to construct event sequences to achieve future goals. Journal of Experimental Child Psychology, http://dx.doi.org/10.1016/j.jecp.2014.02.004 . Phillips, L.H., Wynn, V.E., McPherson, S. & Gilhooly, K.J. (2001). Mental planning and the Tower of London task. Quarterly Journal of Experimental Psychology, 54, 579-598. Pea, R. D. (1982). What is planning development the development of? New Directions for Child Development: Children’s Planning Strategies, 18, 5–27. Newman, S.D., Greco, J.A., Lee, D. (2009). An fMRI study of the Tower of London: A look at problem structure differences. Brain Research, 1286, 123-132. Meindertsma, H. B., van Dijk, M. W., Steenbeek, H. W., & van Geert, P. L. (2013). Assessment of Preschooler’s Scientific Reasoning in Adult–Child Interactions: What Is the Optimal Context? Research in Science Education, 1-23. Miller, P. H. & Coyle, T. R. (1999). Developmental change: Lessons from microgenesis. En E. K. Scholnick, K. Nelson, S. A. Gelman & P. H. Miller (Eds.), Conceptual development. Piaget’s legacy. Rose, L. T. & Fischer, K. W. (2009) Dynamic Development: a neo-Piagetian perspective. En: J. I. M.Carpendale & U.Mueller (eds), The Cambridge Companion to Piaget (Cambridge, Cambridge University Press), pp. 400–421. McCormack, T., & Atance (2011). Planning in young children: A review. Developmental Review, 31(1), 1-31. Matute, E., Chamorro, Y., Inozemtseva, O., Barrios, O., Rosselli, M., & Ardila A. (2008). Efecto de la edad en una tarea de planificación y organización en escolares [Effect of age on task planning and school organization]. Rev Neurol, 47, 61-70. Lewis, M. D., Lamey, A. V., & Douglas, L. (1999). A new dynamic systems method for the analysis of early socioemotional development. Developmental Science, 2(4), 457–475. http://dx.doi.org/10.1111/1467-7687.00090 . Lamey, A., Hollenstein, T., Lewis, M.D., & Granic, I. (2004). GridWare (Version 1.1). [Computer software]. http://statespacegrids.org . Kunnen, S. & van Geert, P (2011). A Dynamic Systems Approach of Adolescent Development. In Kunnen, E.S. (Ed.), A dynamic systems approach to adolescent development. London-New York: Psychology Press (pp. 3-14). Kuhn, D. (1989). Children and adults as intuitive scientists. Psychological Review, 96, 674- 689. Kuhn, D. & Dean, D. (2004) Connecting scientific reasoning and causal inference Journal of cognition and development 5(2) 261-288. Kelso, J. A. S. (2000). Principles of dynamic pattern formation and change for a science of human behavior. In L. R. Bergman, R. B. Cairns, L. Nilsson, & L. Nystedt (Eds.), Developmental science and the holistic approach (pp. 63–83). Mahwah, NJ: Lawrence Erlbaum Associates. Rojas, T. (2006). Planificación cognitiva en la primera infancia: Una revisión bibliográfica [Cognitive planning in early childhood: a literature review]. Acta Colombiana de Psicología, 9(2), 101-114. Spencer, J.P. & Perone, S. 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