Research on Dynamic Learning Intervention Driven by Data

Abstract

With the rapid development of the Internet and mobile information technology, the traditional learning environment has undergone great changes and gradually formed a hybrid learning environment that integrates virtual digital environment and real physical environment. In order to optimize the effect of blended learning in primary and secondary schools and improve the comprehensive literacy of students, the following practical problems need to be solved: How to build a dynamic diagnostic and intervention system based on the education cloud environment and serve primary and secondary schools to carry out IT-supported blended learning? This study proposes a “framework for the analysis and design of data-driven dynamic learning intervention models” based on Parsons’ “AGIL” model and constructs a data-driven dynamic learning intervention model in an educational cloud environment based on the results of questionnaires surveys and expert interviews. It is used in teaching practice activities in middle school to diagnose learners full of personality differences, and implement targeted learning intervention activities according to the diagnosis results to improve students’ academic level. It is found that the data-driven dynamic learning intervention model built in the education cloud environment can be well applied to the blended learning model in secondary schools, which effectively improves students’ learning performance and realizes data-based decision-making and implementation of the learning process.