基于学习者画像的思政课混合式学习精准预警干预模式分析

Yang Zhang
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引用次数: 0

摘要

提高思想政治课教学效果,学习预警与干预是关键。在学习分析的基础上,提出了构建学习者画像的过程和原则,并设计了包括基本信息、内在特征、学习风格、学习行为、情感态度和社会互动六个维度的“BILDES”六边形学习者画像模型。以学习者的形象为基础,从理论层面构建思想政治课混合学习的准确预警干预模型。在预警模式下,通过红灯或绿灯、电子邮件、数字仪表板和新闻推送等方式向学生发出警告。在干预模式中,系统自动干预与人工干预相结合。通过准确识别、有效预警、精准个性化干预,有效化解学习危机,提高思想政治课教学质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis on Accurate Early Warning and Intervention Model of Blended Learning in Ideological and Political Courses Based on Learner Portrait
To improve the teaching effect of ideological and political courses, learning early warning and intervention is the key to it. On the basis of learning analysis, this paper puts forward the process and principle of constructing learner portrait, and design the “BILDES” six-side learner portrait model, which includes six dimensions: basic information, internal characteristics, learning style, learning behavior, emotional attitude and social interaction. Based on the portraits of learners, an accurate early-warning and intervention model of blended learning of ideological and political courses is constructed from the theoretical level. In the earlywarning mode, warnings are given to students through red lights or green lights, emails, digital dashboards and news push. In the intervention mode, systematic automatic intervention and manual intervention are combined. Through accurate identification, effective early warning, accurate and individualized intervention, the learning crisis can be effectively resolved and the quality of ideological and political courses can be improved.
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