Comparing the Effect of Contextualized Versus Generic Automated Feedback on Students' Scientific Argumentation

Q3 Social Sciences
Margarita Olivera-Aguilar, Hee-Sun Lee, Amy Pallant, Vinetha Belur, Matthew Mulholland, Ou Lydia Liu
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引用次数: 0

Abstract

This study uses a computerized formative assessment system that provides automated scoring and feedback to help students write scientific arguments in a climate change curriculum. We compared the effect of contextualized versus generic automated feedback on students' explanations of scientific claims and attributions of uncertainty to those claims. Classes were randomly assigned to the contextualized feedback condition (227 students from 11 classes) or to the generic feedback condition (138 students from 9 classes). The results indicate that the formative assessment helped students improve their scores in both explanation and uncertainty scores, but larger score gains were found in the uncertainty attribution scores. Although the contextualized feedback was associated with higher final scores, this effect was moderated by the number of revisions made, the initial score, and gender. We discuss how the results might be related to students' familiarity with writing scientific explanations versus uncertainty attributions at school.

Abstract Image

情境化与一般性自动反馈对学生科学论证的影响比较
这项研究使用了一个计算机化的形成性评估系统,该系统提供自动评分和反馈,以帮助学生在气候变化课程中撰写科学论点。我们比较了情境化与通用自动化反馈对学生对科学主张的解释和对这些主张的不确定性归因的影响。班级被随机分配到情境化反馈条件(来自11个班级的227名学生)或一般反馈条件(来自9个班级的138名学生)。结果表明,形成性评价有助于提高学生的解释和不确定性得分,但不确定性归因得分的提高幅度较大。虽然情境化反馈与较高的最终分数有关,但这种影响受到修改次数、初始分数和性别的影响。我们讨论了结果可能与学生在学校对写作科学解释的熟悉程度和不确定性归因之间的关系。
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来源期刊
ETS Research Report Series
ETS Research Report Series Social Sciences-Education
CiteScore
1.20
自引率
0.00%
发文量
17
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