Estudios sobre comprensión y control de la comprensión en resolución de problemas académicos

  1. Carlos Gómez-Ferragud 1
  2. Vicente Sanjosé 2
  3. Joan Josep Solaz- Portolés 2
  1. 1 Florida Universitaria, España
  2. 2 Universidad de Valencia, España
Revista:
Revista de enseñanza de la física

ISSN: 0326-7091,  2250-6101

Any de publicació: 2016

Volum: 28

Número: 1

Pàgines: 21-35

Tipus: Article

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Altres publicacions en: Revista de enseñanza de la física

Resum

This paper aims at summarizing in a cohesive way some research developed and focused on understanding word problems. Four empirical studies are described: The first study was devoted to the analysis of the initial steps in the transfer process, codifying and mapping. The second study added the relationship between the adequate construction of analogies and success in problem solving. The following study tried to go deep in cognitive difficulties appearing in solving-by-analogy processes. Finally, we explored students’ monitoring when they try to understand solved problems provided by teachers.

Referències bibliogràfiques

  • Buteler, L.; Gangoso, Z.; Brincones, I. y González Martínez, M. (2001). La resolución de problemas en física y su representación: un estudio en la Escuela Media. Enseñanza de las Ciencias, 19 (2), 285-295.
  • Coleoni, E.A.; Otero, J.C.; Gangoso, Z. y Hamity, V. (2001). La construcción de la representación en la resolución de un problema de física. Investigaçoes em Ensino de Ciências, 6 (3). Disponible en: www.if.ufrgs.br/public/ensino/revista.htm.
  • Chen, Z., y klahr, D. (2008). Remote transfer pf scientific reasoning and problem solving strategies in children. en R.V. Kail (ed.), Advances in child development and behaviour (pp. 419-470). Amsterdam: Elsevier.
  • Chi, M. T. H., Feltovich, P. S. y Glasser, R. (1981).Categorization and representation of physics problems by experts and novices. Cognitive science, 5, 121-152.
  • Chinn, C.A. y Brewer, W.F. (1993). The Role of Anomalous Data in Knowledge Acquisition: A Theoretical Framework and Implications for Science Instruction. Review of Educational Research, 63 (1), 1-49.
  • Driver, R. (1985).Children's ideas in science. McGraw-Hill Education (UK).
  • Gentner, D. (1983). Structure-mapping.A theoretical framework for analogy. Cognitive Science, 7, 155-170. Doi: 10.1016/S0364-0213(83)80009-3
  • Gil-Perez, D., y Martinez-Torregrosa, J. (1983). A model for problem-solving in accordance to scientific methodology. European Journal of Science Education, 5 (4), 447-455.
  • Gómez-Ferragud, C.B.; Solaz-Portolés, J.J. y Sanjosé, V. (2013). Analogy Construction and Success in Mathematics and Science Problem-Solving: a Study with Secondary Students. Revista de Psicodidáctica, 18(1), 81-108.
  • Gómez-Ferragud, C.B., Solaz-Portolés,. J. J., y Sanjosé, V. (2014). Dificultades para codificar, relacionar y categorizar problemas verbales algebraicos: Dos estudios con alumnos de Secundaría y profesores en formación. Bolema, 28(50), 1239-1261.
  • Gómez-Ferragud, C.B., Solaz-Portolés,. J.J., y Sanjosé, V. (2015). Effects of topic familiarity on analogical transfer in problem-solving: a think-aloud study of two singular cases. Eurasia Journal of Mathematics, Science and Technology Education, 11(4), 875-887.
  • Greeno, J.G. (1989). Situations, Mental Models, and Generative Knowledge. En D. Klahr y K. Kotovsky (eds.). Complex Information Processing: The Impact of Herbert Simon, pp. 285-318. Hillsdale, NJ: Lawrence Erlbaum.
  • Holyoak, K.J. (1984). Analogical thinking and human intelligence. In R.J. Sternberg (Ed.). Advances in the psychology of human intelligence. Vol. 2, (pp. 199-230). Hilsdale, NJ: Erlbaum.
  • Jonassen, D.H. (2000). Toward a design theory of problem-solving. Educational Technology: Research and Development, 48, 63-85.
  • Kintsch, W. (1998).Comprehension: a paradigm for cognition. Cambridge, UK: Cambridge University Press.
  • Kintsch, W. y Greeno. J.G. (1985).Understanding and solving word arithmetic problems. Psychological Review, 92 (1), 109-129.
  • Lorenzo, M. (2005).The development, implementation, and evaluation of a problem solving heuristic. International Journal of Science and Mathematics Education, 3, 33-58.
  • Mayer, R. E., y Wittrock, M. C. (1996). Problem-solving transfer. En D. C. Berliner y R. C. Calfee (eds.), Handbook of educational psychology (pp. 47–62). NewYork: Macmillan.
  • Nelson, T.O. y Narens, L. (1990). Metamemory: A theoretical framework and new findings. En H.B. Gordon (Ed.), Psychology of Learning and Motivation, 26 (pp.125-173). San Diego, CA: Academic Press.
  • Newell, A., y Simon, H.A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice Hall.
  • Novick, L. (1988). Analogical transfer, problem similarity, and expertise. Journal of Experimental Psychology: Learning, Memory and Cognition, 14, 510-520.
  • Rebello, N.S., Cui, L., Bennet, A.G., Zollman, D.A. y Ozimek, D.J. (2007). Transfer of learning in problem solving in the context of mathematics and physics. En: D. Jonassen (Ed.). Learning to solve complex scientific problems. Hillsdale, N. J.: Lawrence Earlbaum, pp. 217-250.
  • Reed, S. K. (1987). A structure-mapping model for word problems. Journal of Experimental Psychology: Learning, Memory and Cognition, 13, 124-139. Doi: 10.1037//0278-7393.13.1.124
  • Reeves, L. M., y Weisberg, R. W. (1994). The role of content and abstract information in analogical transfer. Psychological Review, 115, 381-400.
  • Sanjosé, V., Fernandez, J.J, y Vidal-Abarca, E. (2010). Importancia de las destrezas de procesamiento de la información en la comprensión de textos científicos Infancia y Aprendizaje, 33 (4), 529-541.
  • Solaz-Portoles, J.J. y Sanjosé, V. (2007). Cognitive variables in Science problem solving: a review of research. Journal of Physics Teachers Education online, 4 (2), 25-32. Disponible en: http://www.phy.ilstu.edu/jpteo
  • Otero, J. (2009). Question generation and anomaly detection in texts.En D. Hacker, J. Dunlosky y Graesser (Eds.), Handbook of metacognition in education (pp. 47-59). New York: Routledge.
  • Otero, J., Campanario, J.M. y Hopkins, K.D. (1992). The relationship between academic achievement and metacognitive comprehension monitoring ability of Spanish secondary school Students.Educational & Psychological Measurement, 52, 419-430.
  • Truyol, M.E., Gangoso, Z. y Sanjosé, V. (2012). Latin American Journal of Physics Education, 6 (suppl. I), 260-265. Disponible online en: http://www.lajpe.org
  • Truyol, M.E., Sanjosé, V. y Gangoso, Z. (2014). Baltic Journal of Science Education, 13 (6), 883-895.
  • Viennot, L. (1978). Le rasonnaiment spontané en dynamique élémentaire. Revue française de pedagogie, 45 (1), 16-24.
  • Wang, M.C., Haertel, G.D. y Walberg, H.J. (1993). Toward a knowledge base for school learning. Review of Educational Research 63 (3), 249-294.
Fuente de los datos: Dialnet