【摘要】 2020年春季全国高校响应国家号召,广泛开展远程学习、线上教学。远程教学使得教学管理者不能直接接触感知学生学习行为,给客观评估学生表现带来了一定困难。本文致力于建立一套高校学生学习行为量化评估体系,通过采集学生日常表现因子,建立学生学习行为表现数据集,进而对有损学生日常表现的表现因子进行损益赋值,建立学习行为损益因子实时量化评估模型。通过该模型评估学生集体对相应科目的整体表现以及单个学生的个人表现,完成对学生集体和学生个人培养全过程实时表现的精细化分析,利于精准施策、管控预警。更多还原

【Abstract】 In the spring of 2020, colleges and universities across the country will respond to the call of the state and widely carry out distance learning and online teaching. Distance teaching makes teaching managers unable to directly contact and perceive students’ learning behavior, which brings some difficulties to objectively evaluate students’ performance. This paper is committed to the establishment of a quantitative evaluation system of college students’ learning behavior. By collecting students’ daily performance factors, the data set of students’ learning behavior performance is established, and then the profit and loss of performance factors that damage students’ daily performance are assigned, and the real-time quantitative evaluation model of learning behavior profit and loss factors is established. The model is used to evaluate the overall performance of the student group on the corresponding subjects and the individual performance of the individual student, and complete the fine analysis of the real-time performance of the whole process of student collective and individual training, which is conducive to accurate policy implementation, control and early warning.更多还原