Intelligent Evolution of Evidence in Evidence-based Teacher Education:Connotation and Its Control Mechanism
Having a deep integration of theory and practice during the teacher education,evidence-based teacher education has become a development tend in teacher education.The key part is to rely on evidence to es-tablish evidence-based teacher education practices.Evidence here refers to the information carrier for effective teacher education.In the era of intelligence,the evidence optimization of evidence-based teacher education needs AI and other technologies to give full play to the advantages of technology in helping evidence production,selection and use and forming a"crowd intelli-gence"effect on the use effect.The"human-machine cooperation"will differentiate the scientific nature,function-ality and corresponding cases of evidence to form a dynamic semantic link that can be infinitely expanded and optimized,and thus realize the"evidence-man-case"integration,which will keep optimizing evidences in specific practice cases.The construction of teacher education running mechanism needs the application of intelligent tech-nology to develop content optimization,scope expansion and connection optimization of evidence,coupled with the supporting conditions such as algorithms,memory and usage feedback.Based on this,a technical implementa-tion architecture of evidence intelligent evolution is designed to provide a feasible reference framework for evi-dence management and platform optimization in evidence-based teacher education.
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