基于教育大数据的混合式教学决策优化方法研究

Research on decision-making optimization method for blended-learning based on educational big data

针对混合式教学在教学过程中存在的不足,文章以山西大学商务学院“C语言程序设计”课程的混合式教学为具体研究对象,从数据优势与教学经验有机结合的思路出发,采集并分析线上教学产生的教育大数据。分析结果对混合式教学模式下教师的决策优化提供数据支持,实现了科学调整教师教学决策、精准推荐学生个性化学习内容的目的,对完善高校人才培养新模式构建进行了积极探索与研究。

Aiming at the shortcomings of the blended-learning existing in the teaching process,this paper takes the teaching process of"C Language Programming"course in Business College of Shanxi University as the specific research object,starting from the idea of organic combination of data advantages and teaching experience,collects and analyzes the educational big data produced in online teaching.The analysis results provide teachers'decision-making optimization with data support under the blendedlearning mode.It can realize the purpose of scientific adjustment of teachers'teaching decision-making,and accurate recommendation of students'personalized learning content,which actively explores and studies the construction of the new mode of talent cultivation in colleges and universities.