Wednesday, February 13, 2019
A Cognitive Model of New Data on Human Problem Solving Essay -- Psycho
A cognitive Model of New Data on Human Problem solutionI. Project Descriptioncognitive stickering is the creation of models which resemble and apologize the way in which humans do things. What makes them so interesting to me is the lick though which cognitive scientists go in order to create these models. Cognitive scientists often use a generative theory in creating such models. A generative theory is a theory that explains a chastise of empirical observations by actually generating them (as opposed to just summarizing them or characterizing them with equations or logic). Thus, a generative theory has to be executable, like a information processing system program or a recipe.The system on which Im basing my use is named go down (VenLehn, Jones & Chi, 1991). Cascade was originally developed to explain the cognitive mechanisms involved in the self-explanation effect (Chi et al., 1989 Fergusson-Hessler & de Jong, 1990 Pirolli & Bielaczyc, 1989). Simplifying a bit, the effect shows that people learn to a greater extent effectively by canvas examples when they are careful to explain to themselves as many steps of the example as they can. Students who do not guardedly explain worked out example steps do not fare as well on subsequent problems. Cascade models the potential acquire mechanisms that cause this effect.I now wish to apply the Cascade model to a new problem playing area and a new good deal of mental data. Originally, Cascade was written to solve problems in Newtonian physics, the domain used in Chi et al.s study. Since Cascade was first created additional psychological research has been done in other problem domains. Due to the versatility of Cascade, applying the Cascade model to other problem domains would be beneficial. In the fall of 2000 I... ...nnual conference of the Cognitive Science Society.Newell, A., & Simon, H. A. (1972). Human Problem Solving. New Jersey Prentice-Hall Inc.Pirolli, P., & Bielaczyc, K. (1989). empiric analyse s of self-explanation and transfer in learning to program. In G. M. Olson & E. E. Smith (Eds.), Proceedings of the 11th Annual Conference of the Cognitive Science Society (pp. 450-457). Hillsdale, NJ Lawrence Erlbaum.Renkl, A., Atkinson, R. K., & Maier, U. H. (2000). From studying examples to solving problems Fading worked-out solution steps helps learning. In L. R. Gleitman & A. K. Joshi (Eds.), Proceedings of the ordinal Annual Conference of the Cognitive Science Society (pp. 393-398). Mahwah, NJ Lawrence Erlbaum.VanLehn, K., Jones, R. M., & Chi, M. T. H. (1991). A model of the self-explanation effect. Journal of the Learning Sciences, 2, 1-59.