| Summary: | 博士 === 國立高雄師範大學 === 科學教育研究所 === 91 === Abstract
The purpose of this study is to develop an assessment system of cognitive styles, central personality dimension, for science learning in Taiwan. Literature of learning theory shows that students’ cognitive style has highly related to individualized science learning performance. Therefore, developing a reliable and valid assessment of cognitive style is meaningful for science learning. Based on Riding’s CSA, FCSA─a revised version, applies fuzzy theory to get a better clustering of individualized cognitive style, proposes the related clustering and explores its appropriateness in science learning.
This study adopts multiple research methodology. The subject consists of sixty-two students from Kaohsiung county at junior high school level. Qualitative and quantitative research was mixed and designed in this study. The implementation of questionnaires and qualitative observation activities has been conducted. The data analysis also is verified through triangulation to get higher reliable results. Then, the appropriateness of FCSA has explored and proved in the latter process.
The results of this study consist of five findings as follows: In the two axis of assessment, “verbaliser vs. imager” and “wholist vs. analytic”, R1 and R2 are cognitive style indexes that stand for preference of knowledge representation and information organization respectively. Two methods of clustering, ‘clustering by cut-off points’ and ‘fuzzy clustering’ , are suggested in different use. The reliability of test vs. re-test is 0.847 and 0.879 (p< .01) on the verbaliser-imager and wholist-analytic dimensions respectively. It shows that fuzzy theory has been applied appropriately. The validity evidence is presented by the consistency and correlation between results of FCSA and individual cognitive styles in science learning. Concept, substantive, structure, and external factors aspects of validity have been fully discussed to verify the validity of this study. Finally, the implications of FCSA in science learning and suggestions for future research are also included.
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