脑认知科学和人工智能驱动的未来教育变革  

The Future Educational Evolution Driven by Brain and Cognitive Science and Artificial Intelligence

作　　者：薛贵[1] 刘德建 Xue Gui;Liu Dejian

机构地区：[1]北京师范大学认知神经科学与学习国家重点实验室 [2]北京师范大学智慧学习研究院

出　　处：《学术前沿》2024年第17期24-40,共17页Frontiers

摘　　要：脑认知科学与人工智能快速发展,推动人类社会加速向智能时代演进,对人类生存发展能力提出了全新要求,也推动教育目标和方式发生根本性变革。未来教育体系的设计需要突破知识传递的限制,以推动人类持续繁衍与进化为目标、以学习力培养为核心、以个性化按需学习为导向、以人脑学习规律为指导、以技术创新为依托,帮助个体培养有机的知识体系、强大的认知能力和持久的学习动力。实现未来教育目标,需要社会各界从教育政策、科学研究、教师教育、考试评价、课程设置和技术创新等方面协同行动,推动未来教育变革从理论走向实践。The rapid development of brain and cognitive science and artificial intelligence is accelerating the evolution of human society into the intelligent era,placing new demands on human survival and developmental capabilities.This also drives fundamental changes in educational goals and methods.The design of future education systems needs to go beyond the transmission of knowledge.Instead,it should aim to promote continued human development and evolution,by focusing on cultivating learning capabilities,being oriented towards personalized learning on demand,being guided by the principles of human brain learning,and relying on technological innovation.This approach will help individuals develop an organic knowledge system,strong cognitive abilities,and enduring learning motivation.To achieve the goals of future education,all sectors of society must collaborate on education policies,scientific research,teacher education,assessment and evaluation,curriculum design,and technological innovation.This collaborative effort will drive the transformation of future education from theory into practice.

关 键 词：脑科学 人工智能 教育变革 学习力 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] G521[自动化与计算机技术—控制科学与工程]