外语自主学习环境下阅读效率数据分析软件的开发与应用

Reading Efficiency Data Analyzer (Reda) in Autonomous Learning: Development and Applications

近年来，自主学习日益成为研究的热点。文章讨论外语自主学习环境下英语阅读效率数据分析软件的开发问题，并以某综合性大学英语专业2006 至2009 级421 名本科生为研究对象，通过分离样本前后测设计，探讨自主学习环境下学习者及教师利用英语阅读效率数据分析软件，考察学习者阅读效率的可行性及有效性。研究表明，阅读效率数据分析软件可帮助学习者客观分析自己的学习状况，有利于学习者提高自主学习能力，同时也有助于教师在教学实践中，针对不同学生采取与之相和训练手段。

Learner’s autonomy has attracted more and more attention in recent years. This thesis discusses the development of Reading Efficiency Data Analyzer (Reda) and its applications to autonomous learning. Separate sample pretest-posttost design has been adopted， which involves 421 undergraduates majoring in English from a comprehensive university. Research results indicate that Reda can be applied and it helps learners to promote their ability to learn autonomously and facilitate teachers to adopt appropriate teaching approaches in dealing with different students.