Author(s)

Angelina Sue Chen

Corresponding Author

Angelina Sue Chen

Abstract

With the advent of the artificial intelligence (AI) era, the education industry has entered a stage of high-quality development. Based on the concept of smart education driven by educational modernization, innovative propositions need to be proposed to better meet the needs of teacher career development. Based on the dynamic evolution of AI technology, a theoretical analysis framework for the changes in teacher professional satisfaction is constructed according to the internal logic of upgrading the education ecosystem. This framework can explain the new development path of the education industry generated by the participation of technological innovation and teacher role evolution, as well as the cycle mechanism of teaching effectiveness. From the perspective of multi-dimensional changes and practical deduction in teacher work content, teacher-student relationships, and personal development, we will continue to explore the possibility of moving towards the goal of high-quality education development. AI technology aims to provide teaching aids that meet the teacher’s expected standards and work to perfect teaching quality and improve teacher professional satisfaction. To this end, measures such as strengthening the application control of educational technology based on the internal circulation of teaching quality, constructing a quality perception interaction mechanism between teachers and AI technology integration, and establishing a continuing education and ability evaluation system should be taken to achieve high-quality development of the education industry, promote the professional growth of teachers, and truly meet the professional development and psychological demands of teachers in the AI era.

Keywords

Artificial intelligence; Teachers' professional development; Satisfaction; Teaching quality; Role transformation