财经院校学生在线学习行为分析研究

分析学生在线学习行为,定制个性化学习实效路径,顺应信息时代高等教育发展的趋势和潮流。该文以财经院校学生在线学习行为数据为依托,首先建立熵权TOPSIS在线学习行为分析模型,对财经院校各专业学生的在线学习行为进行评价和比较分析。然后用障碍度模型识别财经院校各专业在线学习行为障碍因子的共性特征和差异性特征。最后提出促进财经院校学生在线学习实效的路径,为在线学习师生提供更多的实践参考与理论依据。

Students’ online learning behavior is analyzed, personalized learning effectiveness path is customized, which conforms to the development trend of higher education in the information age. Based on the online learning behavior data of students in financial colleges and universities, this paper first establishes the entropy weight TOPSIS online learning behavior analysis model to evaluate and compare the online learning behavior of students in financial colleges and universities. Then, the obstacle degree model is used to identify the common characteristics and difference characteristics of online learning behavior obstacle factors of various majors in financial institutions. Finally, the paper puts forward the path to promote the effectiveness of online learning of students in finance and economics colleges, and provides more practical reference and theoretical basis for online learning teachers and students.