Specifically in the field of education, the most urgent problem that needs to be solved is the contradiction between large-class teaching and personalized tailor-made teaching. ai+education can precisely solve these problems. ai+education can solve the problem of data collection and realize the digitalization from digitization to datamaterialization; it can reduce the burden of teachers and increase the efficiency of teachers, reducing the time of teachers' simple and repetitive work; and it can realize the personalized analysis of the students, It can realize personalized analysis of students, tailor teaching to learning, and improve the efficiency and quality of learning; it can provide big data for teaching management to assist decision-making and advice, and provide support for scientific governance.
Overall, AI+Education has the potential to make the centuries-old educational dream of "teaching students according to their aptitude" come true, and to truly enhance the quality, efficiency and fairness of our education.
Specifically, the combination of AI and education has already been reflected in the application of education teaching, learning, examination, evaluation and management in various segments.
For example, the realization of machine marking. Under the organization of the Examination Center, KDDI's all-discipline intelligent marking technology has been verified in multiple, multi-range pilots in academic level tests, such as the fourth and sixth grades of university English, as well as large-scale exams, such as college entrance exams, middle school exams, and adult college entrance exams, in many provinces across the country. The validation results show that the computerized scoring results have reached the level of on-site marking teachers and fully meet the needs of large-scale examinations. In the past, conducting the analysis of hundreds of thousands or millions of exam paper samples required huge human resources and had low feasibility, but nowadays, through accurate graphic recognition as well as massive text retrieval technology, it is possible to quickly check and inspect the text of all the exam papers that are similar to the target, and to quickly extract and mark the papers that may have problems.
In terms of personalized teaching, big data technology can collect and analyze the data generated during students' daily learning and homework, accurately informing the teacher of each student's mastery of knowledge, so that the teacher can target each student's learning situation to assign homework and achieve the effect of tailoring teaching to the student's needs. In terms of teaching methods, the smart classroom can provide teachers with richer teaching tools, full-time interaction, learning to teach, teachers are no longer only a textbook, but can be accessed at any time to the background of the massive amount of high-quality learning resources.
In terms of management, the Smart Campus solution covers the school's Academic Affairs Office, Student Affairs Office, School Office, and School Affairs Office to meet the needs of regular campus management. For example, with the implementation of the new college entrance examination, class scheduling has become a new teaching mode, and in the face of diverse demands for class selection, how to reasonably schedule classes has become an urgent problem to be solved. When there is no artificial intelligence, it often takes several weeks for teachers to schedule classes, and it is not guaranteed that students are satisfied. Now with AI algorithms for scheduling, students only need to submit their course selections, the system can combine courses, classrooms, teachers for rapid scheduling, greatly improving efficiency and student satisfaction, which is a major reform of artificial intelligence in teaching and learning.
So, for teachers and school administrators, the changes brought about by AI+Education are precisely "to make up for their shortcomings with their strengths", and AI will play a role in the middle of the teaching and management process as a "threading needle" to give teachers and principals the opportunity to make supportive or decision-making decisions. AI will play the role of "threading the needle" in the teaching and management process, providing teachers and principals with assistance or decision-making analysis. In the future, the convenience of utilizing AI technology will be one of the main ways for teachers and principals to work.