The “13th Five-Year” education plan clearly emphasizes the use of big data to optimize the teaching model. However, the reality is that many managers cannot quantify the quality of teaching. Teachers can't understand the students' staged learning in real time. Most parents only pay attention to the scores. The right and wrong questions can't be done in the opposite direction, all of which are caused by the lack of procedural data. We hope to deepen the value of data through the collection and analysis of chemical industry data such as practice, homework, exams, etc., to help teachers achieve learning and precision teaching, help students achieve personalized learning, and help parents understand student learning in real time. Love, scientific counseling.

Through big data analysis, teachers can preset classroom teaching priorities, focus on common weak knowledge points, and significantly improve teaching efficiency, such as the efficient lectures conducted by Hefei Qizhong and Fuzhou Bazhong School, and the 45-minute exercises will be compressed to 15 Minutes explain common problems, the rest of the time is used for group discussion or expansion of learning; through targeted evaluation and analysis, in the Hengshui School, Beijing Normal University Second Attachment, Hefei Jiuzhong, Chongqing Erwai and other unique Chinese and English essays Lessons, directly attacking the weak points of the class composition, greatly improved the pertinence of classroom teaching; based on the knowledge point map and adaptive recommendation engine, we can build adaptive learning of online and offline progress visualization without changing the traditional teaching mode. Help students understand a lot of mistakes in the short term.

At present, the vast majority of parents and students focus on test scores, often overlooking the learning problems behind the results. Although the competent departments of education at all levels continue to guide, breaking the score-based theory has a long way to go. Through the data collection and analysis of the whole teaching scene, Zhixue.com realizes the diagnosis analysis and personalized service. The analysis of the situation mainly tells the students where the mistakes are, the causes of the mistakes and the suggestions for the study, including the students' analysis of the steps, the analysis of the partial subjects, the analysis of the problem of the points, the analysis of the knowledge points, and the suggestions for the expert learning. In the accurate understanding of the weak points of the students On the basis of the situation, through the creation of the practice and measurement closed loop, to provide students with personalized learning services, based on the wrong questions for students to recommend one-on-three exercises, can help students get rid of the sea tactics and reduce the academic burden.

In order to help teachers to accurately teach and individualized learning, we first expand the breadth of data collection and the height of artificial intelligence in the collection process. On the basis of realizing the daily data collection of daily examinations, homework, quizzes, etc., we integrate humanity. Intelligent technology has realized the collection of subjective data such as Chinese and English essays; secondly, the depth of extension evaluation analysis. At present, it provides 15 modules for all levels of competent departments, principals, teachers, students and parents, and comprehensive development of more than 80 indicators. Sexual evaluation report; followed by expanding the breadth of resource ecology, through long-term cooperation with Lele classrooms, English weekly newspapers and other national quality resource manufacturers, providing users with more than 5 million test resources, more than 10,000 sections and knowledge points Corresponding full-disciplinary boutique micro-curriculum resources. Secondly, it is to increase the thickness of self-learning. The process of teaching students in accordance with their aptitude is on the one hand the teaching accuracy, and on the other hand, creating independent learning scenarios, and this depends on the adaptive recommendation engine of Xunfei Research Institute.

In addition to the core technological advantages, the company has jointly established the “China Basic Education Quality Monitoring Collaborative Innovation Center” with Beijing Normal University and other units, and jointly established a national-level educational big data project with the Ministry of Education Examination Center. The core value of big data is to teach students in accordance with their aptitude, and our poetry and distance are based on the advantages of resources and technology to achieve the educational dream of every family.

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