基于大数据的自适应学习模型研究及实现

Implementation and Research of Self-adaptive Learning Model Based on Large Data

大数据时代,高等职业院校传统教育教学模式已不能完全满足社会对新型人才培养的需要,如何将大数据的自适应学习模式与高等职业教育充分融合是当前亟待解决的问题。从大数据自适应学习概念出发,在综述大数据自适应模型及工作流程的基础上,介绍了基于大数据的自适应学习实现过程,并与传统教学进行对比。利用大数据自适应学习,有利于学生对于知识点的掌握,提高学习成绩,并激发学生学习兴趣。

The traditional education teaching model in higher vocational colleges can not fully meet the social requirements of new talent training in the era of big data,and it is an urgent problem to integrate self-adaptive learning with higher vocational education.The conception of big data-based self-adaptive learning is defined,its models and the working flow are reviewed for the introduction of the implementation process and comparison to traditional teaching.To apply self-adaptive learning is helpful for students to master knowledge points,improve academic performance and arouse their learning interest.