衡量学术写作中的创造力:大学先修课程语言与写作论文分析

IF 1.3 Q3 EDUCATION, SPECIAL
Janessa Bower, Selcuk Acar, Ugur Kursuncu
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引用次数: 1

摘要

对创造性劳动力的需求从未像现在这样高,然而学校却很难有效地教授和评估学生的创造力。作文是在整个课程中融入创造力的有效途径;然而,评估论文的质量或创造力是费时的。本研究探讨了(a)高创造力得分是否与学术写作的高质量和复杂性有关,以及(b)现有的文本挖掘工具是否有效地识别学术论文的质量、复杂性和创造力。4名教师对15-17岁学生在大学先修课程语言与写作考试中所写的230篇作文的质量、复杂性和创造性进行了分析。我们还使用文本挖掘工具(如语义距离、香农熵、思想密度)对这些文章进行评分。教师打分的创造力得分与质量和复杂程度得分相关,也与一些文本挖掘工具相关,这表明这些工具除了创造力之外,还可以捕捉质量和复杂程度。讨论了对教育实践的启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Creativity in Academic Writing: An Analysis of Essays in Advanced Placement Language and Composition
The demand for a creative workforce has never been higher, yet schools struggle to teach and assess creativity among students efficiently. Compositions are an effective way to incorporate creativity across the curriculum; however, essays are time consuming to evaluate for quality or creativity. This study explored (a) if high creativity scores are related to high quality and sophistication in academic writing, and (b) if extant text-mining tools effectively identify quality, sophistication, and creativity in academic essays. Four teacher raters analyzed quality, sophistication, and creativity of 230 essays written by students aged 15–17 for Advanced Placement Language and Composition. We also used text-mining tools (e.g., semantic distance, Shannon's entropy, idea density) to score these essays. Teacher-rated creativity scores correlated with quality and sophistication scores, as well as with some of the text-mining tools, suggesting that these tools can capture quality and sophistication in addition to creativity. Implications for educational practice are discussed.
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来源期刊
Journal of Advanced Academics
Journal of Advanced Academics EDUCATION, SPECIAL-
CiteScore
4.30
自引率
20.00%
发文量
16
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