Metacognitive monitoring and regulation play an essential role in mathematical problem solving. Therefore, it is important for researchers and practitioners to assess students' metacognition. One proven valid, but time consuming, method to assess metacognition is by using think-aloud protocols. Although valuable, practical drawbacks of this method necessitate a search for more convenient measurement instruments. Less valid methods that are easy to use are self-report questionnaires on metacognitive activities. In an empirical study in grade five (n039), the accuracy of students' performance judgments and problem visualizations are combined into a new instrument for the assessment of metacognition in word problem solving. The instrument was administered to groups of students. The predictive validity of this instrument in problem solving is compared to a wellknown think-aloud measure and a self-report questionnaire. The results first indicate that the questionnaire has no relationship with word problem solving performance, nor the other two instruments. Further analyses show that the new instrument does overlap with the thinkaloud measure and both predict problem solving. But, both instruments also have their own unique contribution to predicting word problem solving. The results are discussed and recommendations are made to further complete the practical measurement instrument.
Many theories on college retention recognize the significance of student satisfaction as a positive factor in students' persistence. Yet, there are few theories that address the relationship of degree program satisfaction to study behaviour and dropout. This paper explores the impact of degree program satisfaction on academic accomplishment and dropout. The impact of degree program satisfaction was studied within a multitheoretical framework. The results of the study show that student accomplishment not only depends on differences in academic ability but also on degree program satisfaction. Decreased degree program satisfaction appears to diminish both study motivation and study behaviour. The authors discuss some implications for current educational practice.
The aim of the study is to investigate the influence of gender and gender pairing on students' learning performances and knowledge elaboration processes in Computer-Supported Collaborative Learning (CSCL). A sample of ninety-six secondary school students, participated in a two-week experiment. Students were randomly paired and asked to solve several moderately structured problems concerning Newtonian mechanics. Students' pretest and posttest performances were analyzed to see whether students' gender and the gender pairing (mixed or single-gender) were significant factors in their problem solving learning in CSCL. Students' online interactions were also analyzed to unravel the dynamic process of individual knowledge elaboration. The multilevel analyses revealed that a divergent pattern of knowledge elaboration was a significant predictor for students' learning achievement, and in mixed-gender dyads students' knowledge elaboration processes were more inclined to diverge from each other. Moreover, females in single-gender dyads significantly outperformed females in mixed-gender dyads. But this was not the case for male students.
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