循证教师教育中证据智能进化:内涵及其控制机制  

Intelligent Evolution of Evidence in Evidence-based Teacher Education:Connotation and Its Control Mechanism

作　　者：吴南中[1] 陈恩伦[1] 杜文峰 Wu Nanzhong;Chen Enlun;Du Wenfeng(the School of Education,Southwest University,Chongqing 400715;Chongqing Academy of Education Science,Chongqing 401120)

机构地区：[1]西南大学教师教育学院,重庆400715 [2]重庆市教育科学研究院,重庆401120

出　　处：《中国远程教育》2024年第9期42-53,共12页Chinese Journal of Distance Education

基　　金：2021年全国教育科学规划国家一般课题“基于双师课堂的乡村教师专业发展路径研究”(课题编号:BCA210088)。

摘　　要：循证教师教育实现了教师教育过程中理论与实践的深度交融,已成为教师教育的发展趋势,其关键是依托证据建构证据为本的教师教育实践,其中证据是指有效开展教师教育的信息载体。在智能时代,循证教师教育的证据优化需要借助人工智能等技术,发挥技术在辅助制证、辅助取证、辅助用证等方面的优势,并在使用效果上形成“众智”效应,通过“人机协同”对证据的科学性、实用性和对应情境予以标识,形成动态的、可无限拓展和优化的语义关联,实现证据、人与情境的交互,使证据在具体循证教师教育实践中不断优化。构建循证教师教育证据优化的运行机制需要应用智能技术,配合算法、存储和使用反馈等支持性条件,形成证据的内容优化、范畴拓展和关联优化。基于此设计了循证教师教育证据智能进化的技术实现架构,以期为证据管理和平台优化提供可行的参考框架。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 establish 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 intelligence”effect on the use effect.The“human-machine cooperation”will differentiate the scientific nature,functionality 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 technology 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 implementation architecture of evidence intelligent evolution is designed to provide a feasible reference framework for evidence management and platform optimization in evidence-based teacher education.

关 键 词：循证教师教育 人工智能 证据 智能控制 信息化 

分 类 号：G451[文化科学—教育学]