Smart Education-Oriented Teaching Reform in Computer Science

Abstract

With the rapid development of artificial intelligence technology, computer technology is showing a rapid iterative trend. As a key link in the cultivation of computer professionals, it has been difficult for the traditional computer professional teaching model to meet the needs of society for high-quality talent, and teaching reform is imperative. The application of artificial intelligence technology in professional computer teaching is not only a key measure to respond to the development strategy of smart education in colleges and universities but also the core driving force to promote the digital upgrading of professional computer teaching. This research is based on the connotation and core characteristics of smart education and deeply analyzes the internal adaptability of artificial intelligence technology and professional computer teaching. On this basis, specific reform strategies are proposed from the dimensions of building a smart teaching platform, constructing an “AI + hierarchical teaching” model, innovating a personalized learning support system, and establishing an intelligent teaching evaluation system, aiming to fully explore the teaching potential of artificial intelligence technology and provide a theoretical reference and practical paths for the high-quality development of computer professional teaching.