Construction and Improvement Path of Digital Literacy Evaluation Model for Higher Vocational Teachers Based on Deep Learning and Soft Computing

Abstract

In view of the rapid development of information technology, the cultivation and promotion of digital literacy of higher vocational teachers has become an important issue in the field of education. The application of deep learning and soft computing technology provides strong technical support for this. This paper is to explore the construction and promotion path of digital literacy evaluation model of higher vocational teachers from the perspective of “AI+”. This study deeply analyzes the status quo of digital literacy of higher vocational teachers, and focuses on the combination and application potential of deep learning and intelligent algorithm in the evaluation model and promotion path of digital literacy of higher vocational teachers based on “AI+” perspective. This research plays an important role in promoting personalized education and cultivating talents with high-quality technical skills. Future research will further deepen relevant theories and promote the scientific, standardized and intelligent evaluation model of digital literacy of higher vocational teachers.