基于大数据分析的在线课程学习过程测评和优化

摘要

How to build up a teaching evaluation system for online courses is a pressing issue in an era when online learning is becoming more and more popular. Lacking a face-to-face communication and an accurate classroom appraisal of students’ ability, online learning overlooks process evaluation, which results in a one-way and oversimplified evaluation. After analyzing the existing problems and the evaluation data, this article puts forward an optimized evaluation system for online course learning. Linguistics and program language courses are taken as examples to prove that the above mentioned optimized evaluation strategies can help students improve their study and make better use of the courses.%随着在线学习迅速发展，如何构建在线课程教学评价体系，有效发挥评价机制成为亟需解决的问题。由于在线学习无法进行课堂上的面对面交流和对学生能力的准确定位，往往存在评价单向性、忽视过程评价、评价形式简单等问题与局限。文章在对在线课程教学评估现状分析的基础上，通过对课程在线学习测评数据进行大数据分析，提出了基于形成性评价的在线课程教学评价优化方案，并以语言类、程序语言类等课程为例，验证了文中所提算法可以给出优化的评价策略，保证学生的学习质量，提升课程的利用率。