3P学习分析框架下大学生在线学习参与度的影响因素及提升策略——基于NVivo12的质性研究

Factors Influencing College Students’Online Learning Engagement and Strategies for Improving it under the 3P Learning Analytics Framework--A Qualitative Study Based on NVivo12

随着在线学习从个别化参与走向全员参与,如何消解学习者在线学习中的不良情绪、提升在线学习参与度、为学习者的终身学习奠定基础成为亟待解决的问题。通过深度访谈采集数据,并以此为原始资料,采用扎根理论的质性研究方法对访谈资料进行三级编码,提取主要概念和范畴,进而构建影响因素理论模型。研究发现,在线学习中学习参与度受个体学习特点、教师能力要素、课程基本属性、在线学习环境、教学过程体验的影响,在此基础上基于3P学习分析框架构建“学习预备—学习过程—学习结果”的影响因素作用机制模型。研究表明,未来高校在线学习的开展需要充分关注学习者的学习背景,注重学习者信息素养的提升,为有效学习的发生创造条件。在此基础上,教师应进一步完善在线学习活动设计,优化在线学习评价模式,主动变革教学过程中所使用的技术工具,为收集学生全过程的学习数据,提供精准化、个性化的学习反馈创造条件,从而提升人才培养的质量。

With online learning transitioning from individual participation to full-time engagement,addressing learners’negative emotions,enhancing their participation,and laying the foundation for lifelong learning have become an urgent issue.The study collected data through in-depth interviews and utilized grounded theory’s qualitative research method to perform three-level coding on the interview materials,extracting key concepts and categories,and thus constructing a theoretical model of influencing factors.The research revealed that learners’participation in online learning is influenced by individual learning characteristics,teacher competence,course attributes,online learning environment,and teaching experiences.Building upon this,a model of influencing factors mechanism was developed based on the 3P learning analysis framework,which consists of“Learning Preparedness—Learning Process—Learning Outcomes”.The study indicates that future development of online learning in higher education should pay full attention to learners’learning backgrounds,prioritize the improvement of learners’information literacy,and create conditions for effective learning.In addition,teachers should further refine online learning activity design,optimize online learning evaluation methods,proactively innovate the technological tools used in teaching processes,and create conditions for collecting comprehensive learning data from students throughout the learning process,providing precise and personalized learning feedback to enhance the quality of talent cultivation.