Research on the Connotation, Dilemmas, and Practical Path of Digital and Intelligent Competency of University Teachers in the "Big Data + Artificial Intelligence" Era

Abstract

In the context of the "Big Data + Artificial Intelligence" era, higher education is facing unprecedented challenges in technological transformation and educational innovation. As the core of the education system, the improvement of teachers' digital and intelligent competency directly influences the quality of education and teaching effectiveness. This paper aims to explore the connotation, development dilemmas, and practical paths of university teachers' digital and intelligent competency in the "Big Data + Artificial Intelligence" era. Through an explanation of the essence and connotation of digital and intelligent competency, this paper constructs a theoretical framework for university teachers' digital and intelligent competency and analyzes the ability bottlenecks and transformation dilemmas teachers face when applying big data and artificial intelligence technologies. The paper further discusses the current dilemmas in the development of university teachers' digital and intelligent competency and proposes targeted practical paths to provide theoretical guidance and a practical framework for enhancing university teachers' digital and intelligent competency. The research conclusions indicate that the improvement of teachers' digital and intelligent competency requires not only technological support but also joint efforts from the education system and the teachers themselves.