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The traditional approach to teaching science problem solving is having the students work individually on a large number of problems. This approach has long been overtaken by research suggesting and testing other methods, which are expected to be more effective. To get an overview of the characteristics of good and innovative problem-solving teaching strategies, we performed an analysis of a number of articles published between 1985 and 1995 in high-standard international journals, describing experimental research into the effectiveness of a wide variety of teaching strategies for science problem solving. To characterize the teaching strategies found, we used a model of the capacities needed for effective science problem solving, composed of a knowledge base and a skills base. The relations between the cognitive capacities required by the experimental or control treatments and those of the model were speci®ed and used as independent variables. Other independent variables were learning conditions such as feedback and group work. As a dependent variable we used standardized learning effects. We identi®ed 22 articles describing 40 experiments that met the standards we deemed necessary for a meta-analysis. These experiments were analyzed both with quantitative (correlational) methods and with a systematic qualitative method. A few of the independent variables were found to characterize effective strategies for teaching science problem solving. Effective treatments all gave attention to the structure and function (the schemata) of the knowledge base, whereas attention to knowledge of strategy and the practice of problem solving turned out to have little effect. As for learning conditions, both providing the learners with guidelines and criteria they can use in judging their own problem-solving process and products, and providing immediate feedback to them were found to be important prerequisites for the acquisition of problem-solving skills. Group work did not lead to positive effects unless combined with other variables, such as guidelines and feedback. ß 2001 John Wiley & Sons, Inc. J Res Sci Teach 38: 442 ± 468, 2001 Problem-solving strategies play a central role in education. Many tasks performed in professional and daily life require such strategies, which we de®ne as planned sequences of activities leading to a goal, the solution of the problem. Examples of such tasks are writing an informative text, designing a product, and solving a management problem or a technical or scienti®c problem. Much research has been carried out into problem solving, analyzing and describing strategies for solving different types of problems, designing instruction and/or

According to theories of students' test preparation, students may optimize their test performance by paying special attention to important information and processing this information in ways that are appropriate to the type of questions included in the forthcoming test. However, research is unclear about the conditions under which students adapt study strategies to the demands of test preparation tasks. Moreover, little is known about the processes and abilities involved. In this article, we present a theoretical model that integrates various factors that seem relevant to strategy adaptation in test preparation, including the teacher's intended task demands, students' perceptions of these demands, students' personal goals for studying, and their ability to adapt and implement strategies. The aim of our model is to stimulate further research on strategy adaptation, which may eventually provide evidence-based guidelines that could help teachers support the development of students' strategy adaptability and use tests as learning tools.

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