FAIS: A System for Effectively Learning Students Names and Faces in Massive Courses

J. Munoz-Gama, Raul Alvarez-Esteban, José Montalva-Carmona, Jorge A. Baier
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Abstract

Low classroom engagement and distractions are important challenges of massive courses. The literature shows that those problems could decrease when the teacher addresses the students by their names. Learning all the names and faces for a small course is not a difficult task. However, in massive courses, this becomes a tedious and time-consuming task, making it not very practical. This work presents FAIS, a system for effectively learning students names and their corresponding faces, especially designed for massive courses. The system is based on memorization by repetition and gamification techniques, requiring less effort and including a playful perspective. A preliminary experience shows the learning of 105 students names and surnames, just during the daily commutes of the 10 days previous to the start of the course.
FAIS:在大规模课程中有效学习学生姓名和面孔的系统
课堂参与度低和注意力分散是大规模课程的重要挑战。文献表明,当教师直呼学生的名字时,这些问题可能会减少。在一门小课程中记住所有的名字和面孔并不是一件困难的任务。然而,在大规模的课程中,这就变成了一项繁琐而耗时的任务,使得它不太实用。本文介绍了FAIS系统,这是一个专门为大规模课程设计的有效学习学生姓名和相应面孔的系统。该系统是基于重复记忆和游戏化技术,需要更少的努力,包括一个有趣的角度。初步经验显示,在课程开始前10天的日常通勤中,学习了105名学生的名字和姓氏。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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