人工智能时代的大学教学变革

University Teaching Reform in the Era of Artificial Intelligence

人类社会即将迈入人工智能时代.作为一种技术性变革力量,人工智能对大学教育教学的影响可谓"牵一发而动全身".大学教学需要根据人工智能时代的人才素质规格进行结构性变革,主要包括:教学目标重置:培养适应智能化时代的创新创业型人才;教学内容重构:对接行业与市场的核心知识与关键能力;教学范式再造:基于智能信息技术的多元教学场域与形态;学习方式革新:指向自主建构和发展的个性化深度学习;师生关系重塑:凸显学生中心逻辑的有效性互动与合作.如此,方可推动大学在人工智能时代更好地发挥教学育人功能,保障大学创造更高质量的社会效益.

Human society is about to enter the era of artificial intelligence.As a technological transformation force,the impact of artificial intelligence on university education and teaching can be described as " to move the whole body in one stroke".University teaching needs to undergo structural changes according to the talent’s quality specifications in the era of artificial intelligence,mainly including:resetting teaching goals:cultivating innovative and entrepreneurial talents adapting to the intelligent era,restructuring of teaching content:docking core knowledge and key capabilities in the industry and the market,teaching paradigm reconstruction:multiple teaching fields and forms based on intelligent information technology,learning method innovation:personalized deep learning directed to independent construction and development,teacher-student relationship remodeling:highlighting the effective interaction and cooperation of student-centered logic.In this way,it can promote universities to better play the role of teaching and education in the era of artificial intelligence,and ensure that universities create higher-quality social benefits.