Strategy Instruction in Mathematics

1989 ◽  
Vol 12 (1) ◽  
pp. 43-55 ◽  
Author(s):  
Susan R. Goldman

Mathematics performance is conceptualized as a problem-solving situation consisting of cognitive and metacognitive processes associated with (a) representing the problem, (b) planning a solution, (c) carrying out the operations entailed by the plan, and (d) monitoring the course of solution. Strategies for accomplishing these activities have been instructed within a variety of instructional models, three of which are discussed: direct instruction, self-instruction, and mediated performance (guided learning). Strategy instruction studies representative of each method have been applied to mathematics computation tasks and to word problem solving. These studies are reviewed with a focus on what makes for effective strategy instruction for learning disabled children. Conclusions center on the need to deal explicitly with problem representation and conceptual understanding of the task, task-specific planning and computation skills, and general organizational frameworks for systematically monitoring solution progress. Finally, it is recommended that strategy instruction studies make provision for component practice sufficient to develop efficient access to and use of the available knowledge base as well as of the instructed strategies.

2017 ◽  
Vol 38 (3) ◽  
pp. 181-192 ◽  
Author(s):  
Emily Sharp ◽  
Minyi Shih Dennis

This study used a multiple probe across participants design to examine the effects of a model drawing strategy (MDS) intervention package on fraction comparing and ordering word problem–solving performance of three Grade 4 students. MDS is a form of cognitive strategy instruction for teaching word problem solving that includes explicit instruction in drawing bar diagrams to represent problem components. Results suggest the intervention package was effective for improving the fraction word problem solving of students with learning disabilities and that effects were maintained 2 and 4 weeks after intervention. Implications of these findings and indications for future research are discussed.


Author(s):  
Maria Karyotaki ◽  
Athanasios Drigas

Problem solving is the skill that coordinates all the cognitive, metacognitive and behavioral processes taking place when individuals encounter a previously unprecedented situation or difficulty. Metacognitive processes seem to play the most important role for resolving a problematic situation as individuals reflect on their acquired knowledge, skills and experiences, thus become aware of their capabilities and how to regulate them. Therefore, metacognitive awareness is the competence that mostly assists individuals in their attempt to construct new knowledge and reach their goals. Furthermore, individuals’ self-assessment and peer-assessment processes could reveal their level of metacognitive awareness and therefore, by far, their problem solving competency. Consequently, ICTs could capture individuals’ problem solving skills through tracking down and analyzing the latters’ cognitive and metacognitive processes as well as their behavioral patterns. The aforementioned computer-based assessment could consist of a fuzzy expert system with domain knowledge from an automated task-based test with particular solution strategies in combination with log data for identifying and classifying one’s level of problem solving ability according to specific criteria.


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