1. Mining and Intelligent Analysis of Educational Data

Educational data mining is the comprehensive use of mathematical statistics, machine learning and data mining technologies and methods to process and analyze educational big data. Through data modeling, we can find the correlation between learners' learning results and variables such as learning content, learning resources and teaching behavior, so as to predict learners' future learning trends.

2. Early education robots

In recent years, intelligent service robots have gradually penetrated into all aspects of human life. It is not only the best partner and production tool of human beings, but also has gradually become a reliable "family member". With the prevalence of children's economy, the proportion of children's education industry consumption in total household consumption has gradually increased.

Intelligent early education robot has replaced traditional e-learning products and become the mainstream of future home early education products. It can not only accompany children, but also guide them to learn.

3. Artificial intelligence can play a very important role in the assessment learning process.

He can analyze your mastery of knowledge, the subject ability of each knowledge point, your core literacy, your healthy physical and mental development and so on. It can make our educational evaluation move from a single subject knowledge evaluation to a comprehensive evaluation; It can change our evaluation from just a final exam to a process evaluation.