摘要
人工智能快速发展的背景下,高校教师专业发展成为推动教育现代化的关键所在。然而,当前高校教师专业发展存在教学能力标准固化、科研能力评估偏颇、学科知识标准陈旧以及信息素养要求模糊等问题。基于此,本文提出建立教学能力智能评估体系、构建科研能力多元评价机制、开发学科知识监测系统以及制定信息素养分级指标等策略,旨在构建人工智能背景下高校教师专业发展标准化路径,以期研究成果能够为其他学者提供参考与借鉴。
Under the background of the rapid development of artifi cial intelligence,the professional development of college teachers has become the key to promote the modernization of education.However,there are some problems in the professional development of college teachers,such as fi xed teaching ability standards,biased evaluation of scientifi c research ability,outdated discipline knowledge standards and fuzzy information literacy requirements.Based on this,this paper proposes strategies such as establishing an intelligent evaluation system for teaching ability,constructing a multiple evaluation mechanism for scientifi c research ability,developing a subject knowledge monitoring system,and formulating information literacy grading indicators,which aims to build a standardization path for the professional development of college teachers under the background of artifi cial intelligence.The research results are expected to provide references for other scholars.
作者
李媛
LI Yuan(University of Chinese Academy of Social Sciences)
出处
《中国标准化》
2025年第18期225-228,共4页
China Standardization
基金
四川省高等教育学会数字经济研究中心2024年课题“人工智能驱动下高校教师专业发展策略的创新与实践探索”(项目编号:SZJJ2024YB-021)资助。
关键词
人工智能
高校教师
专业发展
标准化路径
artifi cial intelligence
college teachers
professional development
standardization path
