Research on Teachers’ Career Development Path and Education Management Quality Improvement Strategy in Artificial Intelligence Environment

Teacher’s professional development is in a fundamental and critical position in the progress of higher education in China. The experience of successive industrial revolutions and educational changes tells us that the key to the success of talent cultivation in colleges and universities in the era of intelligent education lies with teachers. This paper applies data mining techniques and the Apriori algorithm to examine teacher’s career development paths and education management using 2023 data from the academic affairs management system of a higher vocational college as the sample dataset. The Apriori algorithm is a powerful tool for discovering hidden patterns and correlations among teacher characteristics, such as education level, workload, and teaching effectiveness, thereby supporting data-driven decision-making in staff development. The results of the study show that encouraging young teachers to pursue further studies, encouraging experienced teachers to lead and help young teachers to study professional technology, enabling teachers to complete the transformation of ‘dual-teacher’ teachers, and creating a teacher team suitable for higher vocational colleges and universities are the main points of the work of higher vocational colleges and universities in the construction of the teacher team.