Research on the Competency Evaluation of Teaching Positions of Private University Teachers Based on K-means Clustering Algorithm

By evaluating the teaching competency of private university teachers, we can understand their teaching level and abilities, provide targeted training and development opportunities for teachers. In order to improve the accuracy of teacher teaching competency evaluation and reduce evaluation time, a K-means clustering algorithm based teaching competency evaluation method for private university teachers is proposed. Firstly, the K-means clustering algorithm is used to fully collect the teaching situation data of private university teachers, providing an effective data basis for job competency assessment. Based on the collected data, construct a competency evaluation index system for teaching positions. Finally, calculate the weight of evaluation indicators and use the fuzzy comprehensive evaluation method to evaluate the competency of teachers in teaching positions. The experimental results show that compared with existing evaluation methods, the evaluation performance of our method has been effectively improved, with a maximum evaluation accuracy of 98.7%.