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Comparison of Human and Machine Scoring of Essays: Differences by Gender, Ethnicity, and Country

机译:论文的人机评分比较:性别,种族和国家的差异

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Essay scores generated by machine and by human raters are generally comparable; that is, they can produce scores with similar means and standard deviations, and machine scores generally correlate as highly with human scores as scores from one human correlate with scores from another human. Although human and machine essay scores are highly related on average, this does not eliminate the possibility that machine and human scores may differ significantly for certain gender, ethnic, or country groups. Such differences were explored with essay data from two large-scale high-stakes testing programs: the Test of English as a Foreign Language and the Graduate Record Examination. Human and machine scores were very similar across most subgroups, but there were some notable exceptions. Policies were developed so that any differences between humans and machines would have a minimal impact on final reported scores.View full textDownload full textRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/08957347.2012.635502
机译:由机器和人工评估者生成的作文评分通常具有可比性;也就是说,他们可以产生具有相似均值和标准偏差的分数,并且机器分数通常与人类分数高度相关,就像一个人的分数与另一人的分数相关。尽管人文和机器分数的平均得分高度相关,但这并不能消除某些性别,种族或国家群体的机器和人类分数可能存在显着差异的可能性。利用两个大型高风险测试程序的论文数据探讨了这种差异:英语作为外语测试和研究生成绩考试。在大多数子组中,人和机器的得分非常相似,但是有一些值得注意的例外。制定了政策,使人与机器之间的任何差异对最终报告的分数影响最小。查看全文下载全文相关变量add add_id Delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/08957347.2012.635502

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