Relationship Between Big Data and Teaching Evaluation

Qing-Hui DAI, Yu-Zhao CHEN, Guan-Ru HUA

Abstract


The current teaching quality evaluation system has been difficult to adapt to the class in era of big data. Due to the limited amount of information, the limited data sources, the current teaching evaluation is more of the result-based evaluation and empirical evaluation. Teaching evaluation of supervision is not only to distinguish the different teaching levels of teachers, more important is to understand the situation of teaching and learning, so as to develop personalized program to better achieve the training objectives. This requires that teaching evaluation is a formative evaluation. Network teaching will be the substitute for modern classroom teaching. Through the reflection on the teaching quality evaluation system, it points out the problems of the teaching quality evaluation system, analyzes the reasons and puts forward the suggestions to solve the problems. Construction of teaching quality data monitoring platform and improving the teaching supervision of data literacy is an effective way to make the teaching supervision from the "experience" to "data type". It can be predicted that Web school will be a substitute for classroom teaching.

Keywords


Teaching Evaluation, Classroom Teaching, Web School, Big Data


DOI
10.12783/dtssehs/icesd2017/11577

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