基于新一代人工智能科教平台的课程教学模式研究OA

Against the background that artificial intelligence(AI)technology has profoundly reformed higher education,the teaching of AI courses in universities is facing structural challenges such as outdated content,insufficient computing resources,weak ethical education,and monotonous assessment.Taking the"Introduction to Artificial Intelligence"course at Zhejiang University as an example,this paper analyzed the design and implementation effectiveness of its integrated theory-practice teaching model of"classroom teaching+platform training"supported by a new-generation science and education platform.The research showed that this model effectively promoted the formation of students'ability structure of"cognitive spiral development"through dynamic content updating,progressive practice,full-process ethical guidance,and multi-dimensional evaluation integration.Empirical results indicated that platform training significantly improved students'practical abilities and learning outcomes,while course perception and environmental support had a significant positive impact on AI literacy.Based on multi-source feedback,this paper put forward optimization strategies from four aspects:course content,platform functionality,evaluation mechanisms,and governance frameworks,aiming to provide an operable reference model for AI curriculum reform and the cultivation of interdisciplinary talents in universities.