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Students' Academic Language Use When Constructing Scientific Explanations in an Intelligent Tutoring System

机译:在智能辅导系统中构建科学解释时学生的学术语言使用

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In the present study, we examined the use of academic language in students' scientific explanations in the form of written claim, written evidence, and written reasoning (CER) statements during science inquiry within an intelligent tutoring system. Results showed that students tended to use more academic language when constructing their evidence and reasoning statements. Further analyses showed that both the number of words and pronouns used by students were significant predictors for the quality of students' written CER statements. The quality of claim statements was significantly reduced by the lexical density (type-token ratio), but the quality of reasoning significantly increased with lexical density. The quality of evidence statements increased significantly with the inclusion of causal and temporal relationships, verb overlap, and descriptive writing. These findings indicate that students used language differently when constructing their CER statements. Implications are discussed in terms of how to increase students' knowledge of and use of academic language.
机译:在本研究中,我们研究了在智能辅导系统中进行科学探究时以书面声明,书面证据和书面推理(CER)陈述的形式,在学生的科学解释中使用了学术语言。结果表明,在构建证据和推理陈述时,学生倾向于使用更多的学术语言。进一步的分析表明,学生使用的单词和代词数量都是学生书面CER陈述质量的重要预测指标。词汇密度(类型标记比)显着降低了索赔陈述的质量,但是词汇密度却大大提高了推理的质量。由于包含因果关系和时间关系,动词重叠和描述性写作,证据陈述的质量显着提高。这些发现表明,学生在构建自己的CER陈述时使用的语言有所不同。讨论了如何增加学生对学术语言的了解和使用的含义。

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