Author(s)

Ge Cui

Corresponding Author

Ge Cui

Abstract

This article delves into the role of big data technology in evaluating and making decisions regarding the effectiveness of teacher training. By analyzing how big data comprehensively and accurately captures teachers' learning behavior during training, this paper elaborates on its important role in monitoring and decision-making of educational quality, and forms a data-driven evaluation basis for teacher training effectiveness. It reveals the changes that big data brings to educational evaluation and decision-making, and proposes innovative paths.

Keywords

Big Data, Teacher Training, Evaluation, Innovation Path