The CCF Vocational Education Conference 2022 (CCVE 2022) was successfully held on July 22-24. The main venue was located in Dalian, and branch venue in Guangzhou with live broadcast online. The conference was hosted by China Computer Federation (CCF, a first-level institute in China), organized by CCF Education Development Committee (CCF VC) and Liaoning Vocational College of Light Industry, and co-organized by Neusoft Education Technology Co., Ltd. and Guangdong Polytechnic of Science and Trade. Titled New Vocational Education, New Mission, New Journey, the conference included 5 main forums and 3 sub-forums, with over 50 speakers sharing professional reports and opinions. It attracted over 30,000 attendees, including government leaders in the vocational education field in China, heads of teaching and research institutions, industrial enterprises, higher vocational schools, experts and teachers, with 200 on the site and 29,800 online.
Professor Xu Jianjun, vice president of NJCIT, gave a keynote report From College and Enterprise to the Community of Shared Destiny. She illustrated her ideas with typical cases of NJCIT in light of the college profile, specialty construction, and university-industry integration. The lecture was brilliant with novel ideas, and exerted a positive role in deepening university-industry integration and school-enterprise cooperation, facilitating reforms of cultivation method, school-running mode, management system, and safeguard mechanism, and building high-level vocational schools and professional groups.
As the vice chairman of CCF VC and the chairman of the organizing committee of the conference as well as Dean of the School of Intelligent Transportation of NJCIT, Professor Li Jianlin hosted the awarding ceremony of the first CCF National Electric Vehicle Remote Fault Diagnosis Skills Competition and the launching ceremony of the next. Professor Li reviewed the first competition, commended the winners and participating colleges, and announced the official launch of the second CCF National Electric Vehicle Remote Fault Diagnosis Skills Competition.
Photo/Text by Qiu Yayu, School of Intelligent Transportation
Reviewed by Li Jianlin, School of Intelligent Transportation