Innovation in Education Management and Talent Cultivation Models for New Quality Productivity: Based on Data Driven and Intelligent Teaching Management

Yuwen Li; Xiaoxi Ding; Jianfeng Li; Haichu Pan; Xiajing Chen; Yunting Fan

doi:10.54097/7rrg1f17

Authors

Yuwen Li
Xiaoxi Ding
Jianfeng Li
Haichu Pan
Xiajing Chen
Yunting Fan

DOI:

https://doi.org/10.54097/7rrg1f17

Keywords:

Instructional Management, Data-Driven, New Quality Productivity, Talent Development

Abstract

The rapid development of information technology and the emergence of new quality productivity, the education management and talent cultivation models that meet the needs of modern society have to be innovated. Data-driven education management combined with intelligence, is an important innovation direction that improves the utilization of teaching resources, optimizes the teaching process, and provides customized learning support for students by leveraging data analysis and intelligent algorithms, has become an important innovation direction. This paper elaborated the key concepts and principles of data-driven, intelligent-based teaching management mode, and analyzed the realization and roles of data-driven, intelligent-based teaching management mode in terms of education management, and talent cultivation. The application of intelligent teaching management model based on data has achieved positive results. Teachers have given a positive evaluation of the model proposing that it can improve the utilization efficiency of teaching resources, optimize the teaching process, and personalize the support of student learning.

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