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Assessing Attendance by Peer Information
arXiv - CS - Computers and Society Pub Date : 2021-06-06 , DOI: arxiv-2106.03148 Pan Deng, Jianjun Zhou, Jing Lyu, Zitong Zhao
arXiv - CS - Computers and Society Pub Date : 2021-06-06 , DOI: arxiv-2106.03148 Pan Deng, Jianjun Zhou, Jing Lyu, Zitong Zhao
Attendance rate is an important indicator of students' study motivation,
behavior and Psychological status; However, the heterogeneous nature of student
attendance rates due to the course registration difference or the
online/offline difference in a blended learning environment makes it
challenging to compare attendance rates. In this paper, we propose a novel
method called Relative Attendance Index (RAI) to measure attendance rates,
which reflects students' efforts on attending courses. While traditional
attendance focuses on the record of a single person or course, relative
attendance emphasizes peer attendance information of relevant individuals or
courses, making the comparisons of attendance more justified. Experimental
results on real-life data show that RAI can indeed better reflect student
engagement.
中文翻译:
通过同行信息评估出勤率
出勤率是学生学习动机、行为和心理状态的重要指标;然而,由于课程注册差异或混合学习环境中的在线/离线差异,学生出勤率的异质性使得比较出勤率具有挑战性。在本文中,我们提出了一种称为相对出勤指数 (RAI) 的新方法来衡量出勤率,该方法反映了学生参加课程的努力。传统考勤侧重于单个人或课程的记录,而相对考勤则强调相关个人或课程的同行考勤信息,使考勤的比较更加合理。现实生活数据的实验结果表明,RAI 确实可以更好地反映学生的参与度。
更新日期:2021-06-08
中文翻译:
通过同行信息评估出勤率
出勤率是学生学习动机、行为和心理状态的重要指标;然而,由于课程注册差异或混合学习环境中的在线/离线差异,学生出勤率的异质性使得比较出勤率具有挑战性。在本文中,我们提出了一种称为相对出勤指数 (RAI) 的新方法来衡量出勤率,该方法反映了学生参加课程的努力。传统考勤侧重于单个人或课程的记录,而相对考勤则强调相关个人或课程的同行考勤信息,使考勤的比较更加合理。现实生活数据的实验结果表明,RAI 确实可以更好地反映学生的参与度。