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(2018) Invited lectures from the 13th international congress on mathematical education, Dordrecht, Springer.
This chapter presents a proposal for an exploratory confluence model of mathematical problem solving in different instructional contexts. The proposed model aims at bridging the knowledge of how problem solving occurs and the knowledge of how to enhance problem solving. The model relies of the premise that a key solution idea to a problem is constructed as a result of shifts of attention stipulated by the solver's individual resources, interaction with peers, or with a source of knowledge about the solution. The exposition converges to the conclusion that successful problem solving is likely to occur in choice-affluent learning environments, in which the solvers are empowered to make informed choices of a challenge to cope with, problem-solving schemata, a mode of interaction, an extent of collaboration, and an agent to learn from. The theoretical argument is supported by an example from an empirical study.
Publication details
DOI: 10.1007/978-3-319-72170-5_18
Full citation:
Koichu, B. (2018)., Mathematical problem solving in choice-affluent environments, in G. Kaiser, H. Forgasz, M. Graven, A. Kuzniak, E. Simmt & B. Xu (eds.), Invited lectures from the 13th international congress on mathematical education, Dordrecht, Springer, pp. 307-324.
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