Digital Intelligence Technology Empowers New Quality Talents Training:Support Individual Differential Growth
The education system needs to actively explore how to guide learners to consciously become new quality talents who shoulder the national development mission and have responsibility for adapting the formation and development needs of new quality productivity and implementing the national high-quality development strategy.There are differences among learning individuals,and it is challenging to meet the needs of each learner to grow together if we rely on a single teaching model.This study proposes that the formation of individual core literacy should not simply rely on external teaching factors but on individuals with primary responsibility and resilience.By analyzing the evolution logic of technology applied to education,this study proposes that education ecology based on digital intelligence technology will affect individual resilience and expand individual differences.The reconstruction of digital intelligence learning space from the perspective of promoting cognitive generation is conducive to promoting the cooperation of multiple agents,optimizing the learning process,and improving the learning model.This study found that creating cognitive scenes adapted to students'cognition with digital intelligence learning space can support different subjects to establish differentiated learning behaviors in the same learning timeline,activate students'subjective consciousness and responsibility,provide different subjects with differentiated cognitive opportunities,and promote the formation of core literacy.Understanding the value of new quality talent training enabled by digital intelligence technology can support different learners in establishing differentiated cognitive paths and achieving a unified high level.
digital intelligence technologynew quality talentscore competencydigital intelligence learning spacelearning model
万方数据
维普
