基于平时行为多维度数据分析的个性化人才培养  

作　　者：付佳[1] 范志祥[2] 樊群超[2] 蒋珍菊[2] 

机构地区：[1]西华大学物理系,成都610039 [2]西华大学,成都610039

出　　处：《高教学刊》2023年第11期169-171,175,共4页Journal of Higher Education

基　　金：四川省“课程思政”示范教学团队“大学物理课程群教学团队”(RC21000001462);四川省教改项目“夯实教学‘新基建’,构建西部地方高校高质量人才培养体系探索与实践”(JG2021-910);“双万计划背景下理工类课程‘一二三多维度线上线下混合智慧教学模式’的构建和实践”(JG2021-925);西华大学教育教学改革项目“本科生多维平时行为与期末成绩相关性研究”(xjjg2019045);“基于证据的通识教育内容选择研究”(xjjg2019046)。

摘　　要：因材施教是最为理想的教育模式,然而由于教育资源的不足和教学条件的限制,目前普通高校仍然无法做到针对学生的个性化培养,只能进行缺点明显的批量教育。为平衡资源消耗与因材施教的矛盾,很多高校实施聚焦战略,对少数精英学生给予大量关注,甚至成立独立学院实施针对性服务。然而研究表明,相较于精英学生,存在学业成绩异变的另一类少数学生群体更值得被优先关注。遗憾的是,现有的人才培养模式难以提前感知这部分学生,针对他们的个性化培养充满挑战。该文基于大数据的信息处理技术,以西华大学物理专业大三的学生为例,利用学生平时行为产生的多角度信息,构建学业成绩波动与社交生活异变的关联模型,实现学业成绩异变的低成本提前预测,使得针对学业成绩异变群体的个性化人才培养成为可能。The ideal education is teaching students in accordance with their aptitude.However,due to the lack of resources,colleges and universities still cannot achieve personalized training for students,and can only carry out batch education with obvious shortcomings.In order to balance the contradiction between resource consumption and personalized education,many colleges and universities have implemented the focus strategy that pay attention to a small number of elite students,and even established independent colleges to provide targeted services.However,research shows that compared with elite students,another student group with academic achievement fluctuation deserves priority attention.Unfortunately,the existing teaching model is difficult to perceive these students in advance,and their personalized training is full of challenges.Based on the information processing technology of big data,using the multidimensional information generated by students'usual behavior,this paper constructs the correlation between academic achievement fluctuation and social life change to predict academic achievement change with low cost,which makes it possible to provide personalized training for groups with academic achievements fluctuation.

关 键 词：因材施教 学业反常 社交结构异变 实证研究 个性化教育 

分 类 号：C961[经济管理—人力资源管理]