A Brief Analysis of the New Opportunity of Teacher Evaluation in the Era of Artificial Intelligence

Abstract

The root cause of education gap is the gap between teachers, and the improvement of teacher quality is still the product of the continuous improvement of evaluation methods. The drawbacks of traditional teacher evaluation methods have been highlighted in the era of big data, such as low efficiency, poor accuracy, and lack of scientific basis, which greatly slow down the improvement of teachers' teaching quality. However, with the gradual penetration of artificial intelligence into the field of education, the transformation of teacher evaluation methods has ushered in new opportunities. Many rely on the teachers' evaluation technology of artificial intelligence has been forming, matching of products is also increasing, and set up the entity is no longer the condition of less demanding trial, if researchers are enough to test, observation, improvement, in the near future, widespread applied to colleges and universities, education institutions at various levels is expected.