Training strategic problem solvers

ABSTRACT

Making the leap from a problem statement to a solution program is a difficult task for novice programmers, even when they may have a sound knowledge of a particular programming language. To bridge this gap students are expected to implicitly build their own strategies through practice exercises. In this paper we argue that a more explicit approach to teaching problem solving strategies may lead to better problem solvers. We suggest a framework that can be used in instruction and assessment of problem solving strategies.

REFERENCES

• 1: ACM IEEE Joint Task Force on Computing Curricula, Computing Curricula 2001, Computer Science. 2001, IEEE Computer Society, Association for Computing Machinery. p. 240.
• 2: de Raadt, M., R. Watson, and M. Toleman. Language Trends in Introductory Programming Courses. in The Proceedings of Informing Science and IT Education Conference. 2002. Cork, Ireland: InformingScience.org.
• 3: Michael de Raadt , Richard Watson , Mark Toleman, Introductory programming: what's happening today and will there be any students to teach tomorrow?, Proceedings of the sixth conference on Australasian computing education, p.277-282, January 01, 2004, Dunedin, New Zealand
• 4: Raymond Lister , John Leaney, Introductory programming, criterion-referencing, and bloom, Proceedings of the 34th SIGCSE technical symposium on Computer science education, February 19-23, 2003, Reno, Navada, USA
• 5: Polya, G., How to Solve It!: A New Aspect of Mathematical Method. 1957, Garden City, N. Y.: Doubleday.
• 6: Ron Porter , Paul Calder, A pattern-based problem-solving process for novice programmers, Proceedings of the fifth Australasian computing education conference on Computing education 2003, p.231-238, February 01, 2003, Adelaide, Australia
• 7: Romberg, T. A., Classroom Instruction That Fosters Mathematical Thinking and Problem Solving: Connections Between Theory and Practice, in Mathematical Thinking and Problem Solving, A. H. Schoenfield, Editor. 1994, Lawrence Erlbaum Associates, Inc.: New Jersey. p. 287--304.
• 8: E. Soloway, Learning to program = learning to construct mechanisms and explanations, Communications of the ACM, v.29 n.9, p.850-858, Sept. 1986 [doi>10.1145/6592.6594]
• 9: Elliot Soloway , Jeffrey Bonar , Kate Ehrlich, Cognitive strategies and looping constructs: an empirical study, Communications of the ACM, v.26 n.11, p.853-860, Nov. 1983 [doi>10.1145/182.358436]

INDEX TERMS

Keywords:
novice-expert, problem solving, programming instruction