基于微信小程序的现场课堂教学数据采集的设计

Design of On-Site Classroom Teaching Data Collection Based on WeChat Applet

人才培养质量是高校的生命线,直接关乎学校的生存和学生的就业质量,建立科学合理的教学质量监控机制是提高人才培养质量的有效途径。近年来大数据技术得到空前的发展,已成功应用在城市、医疗、交通等领域,并已经取得显著的经济社会效益。将大数据技术应用于教学质量监控系统中首先要解决的问题就是海量数据的获取。文章主要探讨基于微信小程序的现场课堂教学数据采集,采集的数据仅是教学质量监控评价中的课堂教学这一维度。

Talent training quality is the lifeline of colleges and universities,which is directly related to the survival of schools and the employment quality of students.Establishing a scientific and reasonable teaching quality monitoring mechanism is an effective way to improve the quality of talent training.In recent years,big data technology has developed unprecedentedly,has been successfully applied in urban,medical,transportation and other fields,and has achieved remarkable economic and social benefits.The first problem to be solved in applying big data technology to teaching quality monitoring system is the acquisition of massive data.This paper mainly discusses the on-site classroom teaching data collection based on WeChat applet.The data collected in this paper is only the dimension of classroom teaching in teaching quality monitoring and evaluation.