数据驱动的高校课堂教学多元评价研究与实践

Research and Practice of Data-Driven Multi-Evaluation of Classroom Teaching in Colleges and Universities

教学评价是教学运行的重要环节,也是构成高校教学质量保障体系的重要组成部分。信息技术与大数据的广泛应用为开展课堂教学多元化评价提供了可能。本研究采用数据驱动研究视角,面向高校课堂教学全程,研究了课堂教学多元评价维度与教学评价大数据采集策略,在此基础上,聚焦课前、课中与课后三个关键教学环节,构建高校课堂教学多元评价体系,并将其用于指导课堂教学实践。确定多元教学评价维度是开展多元教学评价的前提,学习大数据是开展多元教学评价实践的基石,面向教学全程开展多元教学评价是学习者实现课前、课中与课后学习无缝衔接的有效机制。

Teaching evaluation is an important part of both teaching operation and teaching quality assurance system of colleges and universities.The wide application of information technology and big data provides the possibility to carry out diversified evaluation of classroom teaching.This paper adopts a data-driven research perspective and faces the whole process of classroom teaching in colleges and universities to study the multiple evaluation dimension of classroom teaching and the big data collection strategy of teaching evaluation.On this basis,focusing on the three key teaching links of pre-class,in-class and after-class,this paper constructs a multi-evaluation system for classroom teaching in colleges and universities,uses it to guide classroom teaching practice,and confirms that the dimension of multiple teaching evaluation is the prerequisite for the development of multiple teaching evaluation,the learning of big data is the cornerstone of the development of multiple teaching evaluation practice,and the development of multiple teaching evaluation for the whole teaching process is an effective mechanism for learners to achieve seamless connection during pre-class,in-class and after-class learning.