🎤 Speech Title: Educational informationization

Abstract

This report presents the education informatization plan of the Hongmian Master Studio at Guangzhou Institute of Science and Technology. Amid the AI transformation and the industry-education integration requirements of the 15th Five-Year Plan, universities face faculty gaps, a disconnect between academia and industry, and skill mismatches which can be reduced to three shared problems across student development, teaching support, and industry-research collaboration: siloed data, inaccurate evaluation, and imprecise matching. The plan is delivered through three systems: multimodal classroom sensing with "four-assist" teaching agents, industry-research data fusion and matching with quantitative impact evaluation, and a five-dimension student profile with a closed-loop growth navigation supported by the FDE on-site delivery model that puts students in front of real clients.

Biography

He holds a Ph.D. in Electronic Information and is a Professor-level Senior Engineer in Artificial Intelligence Application and a Senior Technician in Artificial Intelligence Training. He is an IPMA Level A® Certified International Project Director and a Fellow of the Institution of Engineering and Technology, UK (FIET). He concurrently serves as a Chair Professor at the School of Business Administration, South China University of Technology, and as an Enterprise Supervisor for professional doctoral programs at Xidian University. He heads the "Ma Xiaoliang Model Worker and Craftsman Talent Innovation Studio" of the Guangzhou Municipal Federation of Trade Unions.

Over the past three years he has published more than 10 SCI- and EI-indexed papers. He has achieved five breakthrough inventions in dialect speech recognition and cloud-network computing power scheduling, of which four were assessed as "internationally leading" and one as "nationally leading"; the related technologies have been incorporated into industry standards. He holds 9 granted invention patents and 3 software copyrights. As a core contributor, he has received 9 provincial- and ministerial-level science and technology awards in the past three years, including the Second Prize of the Guangdong Provincial Science and Technology Progress Award in 2021 and 2024, and the Second Prize of the Wu Wenjun Artificial Intelligence Science and Technology Progress Award. Three of his core technologies have been promoted and applied nationwide across the customer service industry, and three standards he co-drafted are in full use in China's government affairs sector.