Application Of C4.5 Decision Tree Algorithm For Evaluating Research-Oriented Dual-Qualified Teacher

Based on the integration of discipline knowledge among majors, education and research, the Profession Education Study Capability (PESC) system is proposed. The system includes 14 feature indexes and 2 evaluation indexes, and uses C4.5 algorithm for intelligent selection of teachers’ feature to build an evaluation model for research-oriented dual-qualified teacher. On the basis of capability assessment, the college carries out four-stage collaborative management for different types of teachers. There are some differences in the PESC level of teachers in higher vocational colleges. Teachers’ professional competence and educational capability are related to their research capability. After the implementation of the four-stage collaborative management, teachers’ PESC level is significantly improved. The capability assessment model for research-based dual-qualified teacher can comprehensively analyze the feature of teachers’ multiple abilities and effectively improve the problems existing in the positioning and development of teachers. Intelligent analysis method has important application value in the construction of teaching staff with complex personnel structure and difficult management.