With the continuous update of the version of ChatGPT, the application of artificial intelligence in all walks of life has become more popular, and AI has brought about changes in the demand for skilled talents, which has put forward new requirements for the training of skilled talents in colleges and universities.
"Applied universities and vocational colleges should vigorously cultivate a large number of talents who can be proficient in the use of industrial software, especially domestic software, and college teachers cannot underestimate the impact of artificial intelligence on education, and prepare for the transformation of the intelligent era." On June 6, at the "New Engineering" Reshaping and Upgrading and Independent Training of Industrial Software Talents Summit Forum held in Zhengzhou, Henan Province, Li Peigen, academician of the Chinese Academy of Engineering and professor of Huazhong University of Science and Technology, proposed in an online keynote speech that "AI Big Model +" will become a new "Internet +", and universities and their teachers should do a good job in talent training transformation in the digital and intelligent era.
Lee cited a set of data from a McKinsey study of 2017-11 occupations in 46 countries at the end of November 400, suggesting that by 800, 2030% of global jobs (about 20 million) will be affected by AI. Between 8 million and 3900 million jobs in the U.S. will be replaced by AI, and at least 7300 million workers will find jobs again in the next 4 years.
Li Peigen believes that the impact of artificial intelligence large models, such as ChatGPT, on various industries is huge and far-reaching, and the change in the demand for skilled talents by AI is even more obvious, "Many of the current skills may not be needed in the future, at least the corresponding talent demand is greatly reduced." The future will require some new skills, new careers."
Li Peigen proposed that through simulation on the virtual model of industrial software, enterprises can make new, rapid and scientific decisions, which is very important for the high-quality development of enterprises. At present, the number of engineers in China who know how to apply industrial software is small, especially in the field of factory simulation. As an application-oriented university and vocational college, we should vigorously cultivate talents who can be proficient in the use of industrial software.
Secondly, affected by artificial intelligence, the demand for talents in numerical control and robot programming will be greatly reduced in the future, and the relationship between man and machine will be reversed from the master-slave relationship between man and computer supplement. In the future, prompt engineers (aka AI trainers) will become a new hot profession.
"Prompt engineers are about writing relevant prompts by interacting with AI, helping users operate AI to generate better content, and helping companies train employees to use these tools." Lee explains, "In short, prompting engineers is a combination of designer, copywriter and programmer. ”
Li Pecon believes that the development of "new industrial apps" deserves the attention of college teachers. At present, knowledge and software are changing, human knowledge and experience can be precipitated into industrial apps, and quality inspection after the event can be turned into real-time online monitoring and control. These "new industrial apps" are of great significance to ensure industrial quality.
Li Bacon said that in the future, the development of low-code will also be particularly important. With low-code, even the average technician who doesn't know how to program can develop many application functions. Similarly, if enterprises can provide employees with a low-code development platform for artificial intelligence, it will also increase the use rate of artificial intelligence in enterprises.
Li Peigen believes that in addition to learning new tools such as platform applications and industrial app development, students of applied universities and vocational colleges should also make full use of AI's interdisciplinary knowledge and rich case studies in the future, as well as the connections that AI can know but are difficult for people to understand. "AI Big Model+" will be applied in various industries and verticals like "Internet +" many years ago.
The new demand for skilled talents in the AI era will inevitably bring about the transformation and change of teaching. "'What to teach' needs to be revisited." Li Peigen believes that in the future transformation of engineering teaching, the creation of teaching content can no longer stop at tinkering, but must be re-examined and have the courage to do addition and subtraction.
Li Pecon proposed that many traditional content, which students can easily learn by themselves through other channels, should be cut. "It is necessary to pay more attention to the nodes and perspectives cultivated by students, provide students with opportunities and environments for self-study, let students learn through self-search and dialogue with large models, and focus on the development of new means and new platforms." He said.
Li Bacon said that the popularization of artificial intelligence will rely more on data, and data distortion and data distortion will appear more frequently, so teachers should add new teaching content related to data.
Li Peigen suggested that college teachers should think about how to consolidate their irreplaceable advantages and capabilities in talent training in the future. Today, when we are gradually entering the era of artificial intelligence, this is actually a question that each of us needs to ask ourselves.
China Youth Daily / China Youth Network Reporter Pan Zhixian Intern Guo Qiulin Source: China Youth Daily