Searching for Explanations in Science Trade Books: What can we learn from Coh-Metrix?

Laura B. Smolkin, Erin M. McTigue, Yi fen Y. Yeh

研究成果: 雜誌貢獻期刊論文同行評審

6 引文 斯高帕斯(Scopus)

摘要

Given the importance of explanation in science texts for children, this research explored Coh-Metrix as a tool for rapidly determining the presence of explanations in science trade books. Variables from Coh-Metrix specifically addressing cause (causal content, causal cohesion, and positive causal connectives) were correlated with an existing, high-inference causal variable from previous research. Moderate correlations were found for causal cohesion and positive causal connectives (both r(18) = 0.46, p < 0.05); no correlation was found with causal content. Somewhat stronger correlations were found with two, co-referential Coh-Metrix variables, argument overlap and stem overlap. These findings suggest that Coh-Metrix may be used for an initial screening to determine if a science text has the necessary conditions to be explanatory.

原文英語
頁(從 - 到)1367-1384
頁數18
期刊International Journal of Science Education
35
發行號8
DOIs
出版狀態已發佈 - 2013 6月
對外發佈

ASJC Scopus subject areas

  • 教育

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