AI Quality Cultivation and Application Ability Training for Normal University Students
Song Liu, Xiaoyao Xie
Abstract
The rapid integration of AI technology and education will have a profound impact on the traditional education and teaching ideas, forms, contents, methods, and will also put forward new and higher requirements for teachers' professional quality and teaching ability. For normal university students, AI quality cultivation and application ability training are particularly important. Based on the previous research, this paper holds that digital literacy, computational thinking, programming ability and deep cognition of intelligent society are the important contents of AI technology literacy of normal university students. And put forward that under the AI environment, normal university students' learning ability, teaching ability, teaching research ability three aspects, as well as basic ability, deepening application, application innovation three levels of ability training strategy. And points out that normal university students should learn AI technology and theory in practice, cultivate AI quality and application ability in teaching, and improve human-machine cooperation skills in exploration.