From September 12 to 15, the 3rd Green Engineering Education and Future Engineers Forum took place in Qinhuangdao, with the theme "Digital Empowerment for Green Engineering · Integration to Create a Sustainable Future". On the afternoon of September 13, the "Chemical Engineering Education + AI" sub-forum, hosted by Tsinghua University, Tianjin University, and Dalian University of Technology, was successfully convened. Focusing on the topic of "Chemical Engineering Education + AI", nearly 80 experts and scholars from various universities gathered to discuss the exploration and practice of education, teaching, and talent training in the digital intelligence era. The sub-forum was chaired by Cui Wenquan from North China University of Science and Technology, Li Hua from Xi'an Shiyou University, and Xu Jialiang from Beijing Technology and Business University. Additionally, on the morning of September 14, Professor Zhao Jinsong from the Department of Chemical Engineering at Tsinghua University delivered a report titled "Opportunities and Challenges of Engineering Ethics Education in the Wave of AI + Chemical Engineering" at the closing plenary forum of the conference.

Scene of the sub-forum

Hosts of the Sub-Forum (from left to right: Cui Wenquan, Xu Jialiang, Li Hua)

In the thematic report session, 9 experts and scholars from various universities systematically shared their achievements in integrated education exploration, combining the characteristics of their respective institutions:Zhu Xuedong, Director of the Academic Affairs Office of East China University of Science and Technology, delivered a report titled "Exploration and Practice of Talent Training in the Digital Intelligence Era—Curriculum Construction and Management of Undergraduate Education and Teaching at ECUST". He shared insights from three aspects: educational reforms in the context of the digital intelligence era, explorations of AI-enabled undergraduate talent training, and practices of AI-empowered undergraduate education and teaching.

Han You, Vice Dean of the School of Chemical Engineering at Tianjin University, presented "Exploration of Talent Training in Chemical Engineering at Tianjin University Amid the AI Wave". He introduced the development of artificial intelligence in chemical engineering at Tianjin University, the "Chemical Engineering + AI" integrated curriculum system, and explorations of AI-enabled chemical engineering talent training.

Tang Shengwei, Vice Dean of the School of Chemical Engineering at Sichuan University, gave a report titled "Thoughts and Practices on Interconnected Chemical Engineering". From the perspective of industrial development needs, he introduced the professional construction practices of Sichuan University.

Li Lin, Vice Dean of the School of Chemical Engineering at Dalian University of Technology, delivered a report titled "Grasping the Connotation of 'New Quality': Exploration and Practice of Intelligent + Chemical Engineering Talent Training", specifically introducing the practices of cultivating high-quality top-notch innovative talents in the new era at Dalian University of Technology.

Professor Zhao Liang from China University of Petroleum (Beijing) shared "Reflections on Talent Training in Chemical Engineering Discipline for the 'Low-Carbon + Smart' New Paradigm". He elaborated on four aspects: the background of the "Low-Carbon + Smart" era, intelligent empowerment of low-carbon processes, scientific research challenges and explorations, and talent training challenges and explorations.

Wang Kai, Deputy Dean of Teaching in the Department of Chemical Engineering at Tsinghua University, presented "AI + ChE: A New Paradigm of Interdisciplinary Education for Chemical Engineering Students at Tsinghua University". He shared the reshaping of scientific research paradigms by AI, specific measures for chemical engineering professional construction, and further reflections on cultivating students in the artificial intelligence era.

Li Chengxi, Deputy Director of the Institute of Pharmaceutical Sciences at the College of Chemical and Biological Engineering, Zhejiang University, took the specific course "Medical Artificial Intelligence" as an example to detail the application and reflections on AI tools in the curriculum.

Professor Sun Baochang from the School of Chemical Engineering at Beijing University of Chemical Technology shared "Exploration of AI-Assisted Chemical Engineering Talent Training Model", mainly introducing the college's discipline and professional construction, as well as explorations of AI-enabled talent training for undergraduates and postgraduates.

Yu Hao, Vice Dean of the School of Chemistry and Chemical Engineering at South China University of Technology, delivered a report titled "Thoughts and Practices on AI-Assisted Chemical Engineering Professional Talent Training". From the perspective of frontline teachers, he mainly shared insights and suggestions on Generative AI (GAI) and higher education, as well as GAI and chemistry and chemical engineering education.

Zhu Xuedong, Han You, Tang Shengwei, Li Lin, Zhao Liang, Wang Kai, Li Chengxi, Sun Baochang, Yu Hao (from top to bottom, left to right)

Through in-depth discussions, this sub-forum showcased the explorations and practices of various universities in "Chemical Engineering + AI" education, teaching, and talent training, and built a bridge for academic exchanges in the chemical engineering discipline. Participants stated that they will join hands to continuously explore the construction of the chemical engineering discipline, build a new "Teacher-Student-AI" educational ecosystem, and jointly cultivate chemical engineering talents oriented towards the future.