In order to deepen the reform of education and teaching, promote the deep integration of artificial intelligence and teaching, consolidate the foundation of curriculum construction, and improve the innovation ability of full-time teachers and the quality of professional talent training, on the morning of July 9, the School successfully organized and carried out the application review process of the "AI-Assisted Biomedicine Smart Curriculum Construction" project. This review strictly follows the principles of fairness, impartiality, and merit selection, standardizes the review process, and strictly controls the quality of project submissions.
This review meeting was coordinated and arranged by the School. Li Chong, Secretary of the Party Branch, Liu Yi, Vice Dean, and Directors and Deputy Directors of each teaching and research department jointly formed a review expert group to participate in the entire project review and guidance. The review process is carried out in an orderly manner according to the process of project reporting, expert evaluation, centralized comments, summary and deployment.
At the meeting, the applying teachers elaborated on the research background of the topic, curriculum construction ideas, AI technology application scenarios, teaching innovation highlights, implementation plans and expected educational results and other core contents. They clearly demonstrated the research value and implementation feasibility of the topic, and fully demonstrated the professionalism of teachers in the School who are deeply engaged in teaching and research and have the courage to innovate.
During the centralized evaluation process of the review team, the directors and deputy directors of each teaching and research section combined front-line teaching experience and discipline construction practices to conduct detailed comments and cross-discussions from professional perspectives such as course adaptability, teaching implementation, and practicality of topics, focusing on AI We put forward optimization suggestions on key issues such as the fit between technology and the core courses of each major, the difficulty of implementing the subject, and the adaptability of the teaching application scenario. We focused on daily teaching pain points to sort out the direction of subject improvement, and effectively ensured that the applied subject meets the needs of professional education and has actual promotion value. Based on the development characteristics of each major, Vice Dean Liu Yi proposed targeted and implementable optimization plans in terms of topic selection, technology implementation, curriculum practice, innovation and quality improvement, etc., providing comprehensive guidance for teachers to improve the topic structure, refine research content, and promote subsequent course construction.
Li Chong, Secretary of the General Party Branch, fully affirmed the effectiveness of this project application and the initiative and enthusiasm of teachers, and put forward clear expectations and requirements for subsequent smart curriculum construction and project research. He emphasized that all teachers should base their efforts on improving the quality of professional talent training, closely follow the development trend of AI-enabled education, focus on the pain points and difficulties of biomedical teaching, polish high-quality project results, and effectively use AI to empower classroom teaching to help the construction of teaching systems and the steady improvement of the quality of professional talent training.
