数据驱动的本科计算机在线学习智能模式研究

Research on Data-Driven Intelligence Model of Online Learning for Undergraduates

随着教育方式和学习方法的变革,在线学习已经成了一种广泛应用的学习模式。搭建学习平台的技术和题库资源日趋成熟,但对于学习效果的理解和分析却相对落后与陈旧。随着数据科学的发展和人工智能技术的进步,将大众类在线学习平台转变为因材施教的个性化学习平台是在线学习发展的必然趋势。针对学习效果分析和个性化学习,以本科计算机课程为例,提出了一种数据驱动的在线学习智能模式。该模式可以针对本科学生的学习需求和特点,生成对应的个性化学习方案和测评方案,以提高学习效率,达到更好的学习效果。

With the transform of education and learning methods,online learning has become a widely used learning mode.The technol⁃ogy and resources of building learning platform are becoming mature,but the understanding and analysis of learning effect are relatively outdated.In pacewith the development of data science and the progress of artificial intelligence technology,it is an inevitable trend for online learning to transform the popular online learning platform into individualized learning platform.Aiming at the analysis of learning effect and personalized learning,taking undergraduate computer course as an example,a data-driven online learning intelligent model is proposed.According to the learning needs and characteristics of undergraduate students,this model can generate corresponding indi⁃vidualized learning programs and evaluation programs,so as to improve learning efficiency and achieve better learning results.