中文摘要：

针对目前高校课程评价手段单一,不能满足学生个性化学习的要求,本文提出了一种具有个性化和发展性特征的学习评价模型。该模型基于学生课堂教学、课外自学和部分日常生活构成的大数据,通过数据挖掘技术,给出课程学习过程中对每个学生的评价。学习评价关注学习的每个阶段,给出的建议符合学生个性化要求,并可帮助教师因材施教。教学实践结果显示,这种学习评价有助于改善学生的学习。

英文摘要：

The present students＇ learning evaluation of higher education lacks flexibility and its simplified form of current evaluation system can hardly meet the need of the features of personality and development. Regarding these problems, a personalized and developmental learning evaluation model is proposed in this article based on the big data composed of classroom instruction, independent learning after class and partly daily lives＇ information. Meanwhile, with the technology of data mining,every single student＇s evaluations and suggestions are given periodically both to students and teachers, which focus on every stage of student＇s study. Finally, the experimental results is fit for the requirement of talent, helps teachers teach in accordance of students＇ aptitude, and improve students＇ study.