基于多模式样本t检验的精准化学习模型构建与研究

Construction and Research of Accurate Learning Model Based on Multi-Modal Sample t Test

现代高职教育受到多种因素的影响,学生水平参差不齐,如何通过大数据技术实现高职院校学生学习绩效因素的对比研究,是目前高职教育亟待解决的问题.通过高职院校学生抽取数据样本进行独立样本t检验及成对样本t检验等模式分析多种因素对学生学习绩效的影响,以学院随机试题库以及核心专业课程学习时长为示例研究对象提供精准化数据样本,为大数据背景下精准化教学提供了数据依据,对于学生学习绩效提高更具针对性、实时化、高度差异化和个性化.

Modern higher vocational education is affected by many factors such as the uneven level of students.How to realize the comparative study of students’learning performance factors in higher vocational colleges through big data technology is an urgent problem to be solved.This paper analyzes the influence of various factors on students’learning performance through the sample of the students in the vocational colleges,and the independent sample t test and the paired sample t test.The random sample test bank and the core professional course study time are provided as sample research objects.Accurate data samples provide a data basis for accurate teaching in the context of big data,and are more targeted,real-time,highly differentiated and personalized for the improvement in student learning performance.