The application of Simulation-Assisted Learning Statistics (SALS) for correcting misconceptions and improving understanding of correlation

T. C. Liu, Y. C. Lin, Kinshuk

研究成果: 雜誌貢獻文章

23 引文 斯高帕斯(Scopus)

摘要

Simulation-based computer assisted learning (CAL) is recommended to help students understand important statistical concepts, although the current systems are still far from ideal. Simulation-Assisted Learning Statistics (SALS) is a simulation-based CAL that is developed with a learning model that is based on cognitive conflict theory to correct misconceptions and enhance understanding of correlation. In this study, a mixed method (embedded experiment model) was utilized to examine the effects of SALS-based learning compared with lecture-based learning. The sample was composed of 72 grade-12 students, who were randomly assigned to either the experimental group or the comparison group. The findings reveal that the SALS-based learning approach is significantly more effective than lecture-based learning terms of correcting students' misconceptions and improving their understanding of correlation. The study also uses quantitative and qualitative data to examine how the learning model of the SALS-based learning approach contributes to the enhanced learning outcomes. Finally, practical suggestions were made with regard to directions for future studies.

原文英語
頁(從 - 到)143-158
頁數16
期刊Journal of Computer Assisted Learning
26
發行號2
DOIs
出版狀態已發佈 - 2010 四月 1

ASJC Scopus subject areas

  • Education
  • Computer Science Applications

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