Study on Evaluation Model of International Chinese Teachers’ Digital Competence in Online Teaching Based on K-Means Clustering Algorithm

Abstract

The research aim of this paper is to evaluate the digital competence of international Chinese teachers.In order to accurately and objectively evaluate the international Chinese teachers’ digital competence standards, we used methods of data mining.The research procedure included the establishment of indicators of teachers’ digital competence and the construction of models.We chose the European Teachers’ Digital Competence Framework which includes 22 research indicators as the index dimension and used a developed convolutional neural network, k clustering and the fuzzy clustering algorithm. We created an evaluation model as a result. The results of several tests show that the model is stable and plausible. The model can be used to analyze the trend and distribution of digital ability among international Chinese teachers, as well as to evaluate international Chinese teachers’ s digital ability. The innovation of the result is the creation of a theoretical evaluation model to evaluate teachers’ digital ability.