预测学习者学习成果改善的项目特征。
Program Characteristics that Predict Improved Learner Outcomes.
作者信息
Patterson Margaret Becker, Mellard Daryl
机构信息
University of Kansas.
出版信息
Adult Basic Educ Lit J. 2007 Jun;1(2):83-92.
This study identifies adult education program characteristics that predict improved learner outcomes through statistical analyses of data across four years in a single state. Data indicate that, collectively, several predictors contribute to our understanding of learner outcomes, including (a) learner entry level, (b) size of community, (c) staff qualifications, and (d) learner exposure to high quality services. A surprising finding was the lack of robust outcome predictors that maintain consistency from one year to another.
本研究通过对一个州四年的数据进行统计分析，确定了能够预测学习者取得更好成果的成人教育项目特征。数据表明，总体而言，有几个预测因素有助于我们理解学习者的成果，包括（a）学习者入学水平，（b）社区规模，（c）工作人员资质，以及（d）学习者接受高质量服务的情况。一个令人惊讶的发现是，缺乏从一年到下一年保持一致性的有力成果预测因素。
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