A Review of General Strategy Instruction and Schema Based Instruction in Solving Mathematical Base Word Problems.

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A Review of General Strategy Instruction and Schema Based Instruction in Solving Mathematical Base Word Problems.

Problem solving within mathematics is important as children need to apply and transfer their learning of how to solve calculations into everyday situations. Enabling children to deduce what algorithm is required in a given situation is important as the way in which a problem is approached (NCTM, 1989) is an essential skill, in addition to arriving at a correct answer. Furthermore the NCTM (1980) recognised that teaching problem solving to children develops their skills and knowledge that are used in everyday life whereby the inquiring mind, tenacity and receptiveness to problems are developed.

One area of problem solving is word problems which Jonassen (2003) summarises in his research that “Story problems are the most common kind of problem encountered by students in formal education.” (p. 294). Given that word problems are the most frequently visited type of problem solving the type of instruction and modelling of approaching and solving word problems must be carefully considered and as Haylock (2010) comments the teachers need to “… focus on children’s graspof the logical structure of situations…” (p. 95).

A review of the literature associated with solving mathematical based word problems showed a vast array of research examining the instruction of how to approach and solve word problems. In particular two different approaches to problem solving; general based instruction (GSI) and schema-based instruction (SBI).

GSI uses metacognitive and cognitive processes. Pólya (1957) details in his book How to Solve it, four principles in approaching a given problem (i. understand the problem, ii. devise a plan, iii. carr...

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... the students had not answered the problem as they had focused on the numbers provided and not what was asked and Dickson, Brown and Gibson (1995) comment that students must be enabled to “… transfer problems into their symbolic representation…” (p. 361) so as to help them approach more difficult problems with the appropriate algorithm.

The fourth stage requires reflection (Pólya, 1957) checking the calculation (Rich, 1960) and verification (Garofalo and Lester, 1985). The fourth stage is where the student needs to reflect on all three previous stages and that their conjectures in the first two stages were realised in the third stage. In addition students need to demonstrate that the computations used in stage three can be applied to problems of a similar nature. Potentially students may use “Proof by exhaustion [and] deductive reasoning”, (Haylock, 2006, p. 322.

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