Exploration on Cultivation of Practical Ability of Artificial Intelligence Talents in Universities in the Context of Innovation and Entrepreneurship Education
Jiao Ge, Lang Li, Hongwei Deng, Guangyong Zheng, Yi Zou, Junxia Zhao
Abstract
In recent years, AI technology has been widely used in the areas of health care, transportation, robot control, financial trade, retail and agriculture. According to TalentSeer's “2020 AI Talent Report”, the demand for AI (artificial intelligence) talent has increased by 74% annually in 2016-2019, with a talent gap of up to one million. Universities are the core force to build the world AI innovation center. It is the current direction of university talent training reform to integrate the idea of innovation and entrepreneurship education into the AI talent training program and cultivate innovative talents in the realm of AI to gratify social and industrial demands. To this end, we have made a detailed discussion on the cultivation of artificial intelligence talents' practical ability from the aspects of establishing open source thinking development innovation practice project, relying on discipline competition to increase undergraduate innovative and entrepreneurial capabilities, designing a multi-disciplinary practice teaching model, and constructing innovative and entrepreneurial practice platforms to meet industrial requirements.