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在线学习具有拓展教学时空,扩大优质教育资源等优势,然而,却容易遭遇“高辍课率”“低参与性”“难以深度学习”等质量危机,在高职在线教育领域,此危机尤为突出。基于大数据环境下高职学生在线学习成效提升研究现状,提出高职学生在线学习成效模型及提升路径要素,从大数据环境下在线学习环境构建,高职学生在线学习成效提升的教学设计实施,高职学生个性化在线学习流程设计及评价干预等方面提升高职学生的在线学习成效,对提高在线学习质量、促进在线教育发展、推动教育信息化建设、培养高素质技能型人才等具有十分重要的意义。
Online learning has the advantages of expanding the teaching space and expanding the resources of high quality education. However, it is easy to encounter the quality crisis such as “high dropout rate”, “low participation”, and “difficulty in deep learning” In the area, this crisis is particularly prominent. Based on the present situation of higher learning students’ online learning effectiveness in big data environment, this paper puts forward the online learning effectiveness model and the path elements for higher vocational students. The author puts forward the teaching design and implementation of online learning environment in higher data learning environment, Higher vocational students personalized online learning process design and evaluation of intervention and other aspects to enhance the effectiveness of online learning for vocational students, to improve the quality of online learning, to promote online education, promote education information technology, training high-quality skilled personnel is very important Meaning.