摘要
因材施教是一种因人而异的教学模式,但在现实中,因材施教的教育实践面临着不少困难。教育人工智能可以通过信息获取、信息处理和信息运用,将教育要素模式化、学习过程透明化、运用场景多样化,通过对学生学情的精准分析,对教育资源整合运用,更好地实现“因材”;在此基础上,通过教学信息的动态匹配、一对一智能导师系统和多元全面的评价方式来优化“施教”。教育人工智能还通过支持学生的自主学习、泛在学习与合作学习超越了“因材施教”中对“教”的强调,更加重视对“学”的设计,从而转变了教师职能,为教育带来变革。
By ways of information obtaining,processing and applying,it is possible for AI technology to mold the key factors of education,to make the learning process transparent,to diversify the teaching-learning situations,to accurately analyze students’ levels and to integrate educational resources so as to realize"teaching students individually".Meanwhile,teaching will be optimized through dynamic information matching,one-onone intelligent tutoring system and multi-evaluation.Moreover,AI technology supports self-learning,extensive and cooperative learning,which focus more on the design for"learning",transform the role of teachers and bring about reforms of education.
出处
《延边大学学报（社会科学版）》
2021年第5期110-118,143,144,共11页
Journal of Yanbian University：Social Science Edition
基金
四川省社会科学研究“十三五”规划基地重大项目(SC17EZD028)。
关键词
因材施教
教育人工智能
差异化教学
个性化学习
teaching students individually
AI in education
differentiated teaching
personalized teaching
