A MULTI-DIMENSIONAL INSTRUMENT FOR EVALUATING TAIWANESE HIGH SCHOOL STUDENTS' SCIENCE LEARNING SELF-EFFICACY IN RELATION TO THEIR APPROACHES TO LEARNING SCIENCE

Tzung Jin Lin, Chin Chung Tsai*

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

33 引文 斯高帕斯(Scopus)

摘要

In the past, students' science learning self-efficacy (SLSE) was usually measured by questionnaires that consisted of only a single scale, which might be insufficient to fully understand their SLSE. In this study, a multi-dimensional instrument, the SLSE instrument, was developed and validated to assess students' SLSE based on the previous literature. Besides, the interrelations between students' approaches to learning science and SLSE were explored. A total of 311 Taiwanese eighth graders were invited to respond to the SLSE instrument and the Approaches to Learning Science (ALS) questionnaire. After ensuring several types of validity (e.g. construct validity and criterion-related validity) and the reliability of the SLSE questionnaire, the results suggested that the SLSE instrument should have satisfactory validity and reliability to measure Taiwanese eighth graders' SLSE in terms of 5 dimensions: Conceptual Understanding, Higher-Order Cognitive Skills, Practical Work, Everyday Application, and Science Communication. Moreover, through Pearson correlation analyses, the results revealed that the Taiwanese eighth graders who perceived themselves as having a deep motive, along with the orientation of surface motive, tended to report higher SLSE. Also, those students who reported adopting deep strategies to learn science were more likely to possess higher SLSE. The regression results indicated that, overall, the students' deep strategies and deep motive were strong predictors of their SLSE, particularly for the Higher-Order Thinking Skills SLSE. Yet, the Practical Work SLSE could only be predicted by the Deep Strategy dimension of ALS.

原文英語
頁(從 - 到)1275-1301
頁數27
期刊International Journal of Science and Mathematics Education
11
發行號6
DOIs
出版狀態已發佈 - 2013 十二月

ASJC Scopus subject areas

  • 教育
  • 數學(全部)

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