在2020年底举办的2020年人工智能与教育大数据大会上，中国教育国际交流协会会长刘利民表示，教育领域已成为人工智能重要应用场景之一。构建网络化、数字化、智能化、终身化教育体系，支撑引领教育现代化，是智能教育的核心，是推动人工智能与教育教学深度融合的目标。 据了解，目前人工智能已经与教育领域深度融合，利用大数据开展的个性化学习已覆盖学生超千万。在2020年高考阅卷工作中，已经有9个省针对语文、英语作文等主观性命题引入了机器阅卷。 不过，大部分教育领域的专家尤其是从事作文教学的专家认为，主观题尤其是作文，不能依赖人工智能进行简单评判，以一套数字化的“标准”去衡量作文水平的方式尚不可取。从事作文教学30多年的特级教师贾丽娟说，作文里包含的情感、思想以及隐喻手法等，仅凭目前的人工智能很难判断其水平高低。她说：“如果利
At the 2020 big data conference on artificial intelligence and education held at the end of 2020, Liu Limin, President of China Association for international exchange of education, said that the field of education has become one of the important application scenarios of artificial intelligence. It is the core of intelligent education and the goal of promoting the deep integration of artificial intelligence and education and teaching to build a network, digital, intelligent and lifelong education system to support and lead the modernization of education. It is understood that at present, artificial intelligence has been deeply integrated with the field of education, and personalized learning using big data has covered more than 10 million students. In the college entrance examination marking work in 2020, nine provinces have introduced machine marking for subjective propositions such as Chinese and English compositions. However, most experts in the field of education, especially those engaged in composition teaching, believe that subjective questions, especially compositions, can not be judged simply by artificial intelligence, and it is not advisable to use a set of digital "standards" to measure composition level. Jia Lijuan, a special grade teacher who has been engaged in composition teaching for more than 30 years, said that it is difficult to judge the level of emotions, thoughts and metaphors contained in compositions only by the current artificial intelligence. She said, "if you don't want to go there, you can go there
