文献类型：期刊文献

中文题名：连续统视域下高校学生智能素养评价体系构建

英文题名：Construction of AI Literacy Evaluation System for College Students from the Continuum Perspective

作者：李楠[1];刘申奥[1];吉久明[1]

机构：[1]华东理工大学科技信息研究所,上海200237

年份：2025

卷号：48

期号：1

起止页码：150

中文期刊名：情报理论与实践

外文期刊名：Information Studies:Theory & Application

收录：;北大核心:【北大核心2023】；

基金：国家社会科学基金项目“面向2035的国民信息素养教育体系研究”的成果,项目编号:21BTQ098。

语种：中文

中文关键词：连续统;智能素养;KSAVE模型;评价体系

外文关键词：continuum;AI literacy;KSAVE model;evaluation system

摘要：[目的/意义]数智社会对高校学生核心素养发展提出新的要求,有待进一步明晰智能素养内涵并构建面向高校学生的智能素养评价指标体系,为学生智能素养发展状态测评、能力提升和培育提供参考支持。[方法/过程]从素养连续统的视角出发,系统梳理智能素养的缘起与发展,通过对素养内容解构与要素集结,映射于智能素养的指标体系。基于KSAVE模型提出高校学生智能素养评估框架,通过文献调研界定指标内涵,进而运用德尔菲法优化初步构建的评价指标体系,利用群决策层次分析法确定评价指标权重。[结果/结论]构建了由意识态度、知识与技能、高阶思维能力、智能伦理和价值实现5个一级指标以及19个二级指标构成的高校学生智能素养评价体系,并从认知站位、内驱路径和情景创建三个方面提出智能素养的培养策略。
[Purpose/significance]The digital society has put forward new requirements for the development of core literacy of college students.It is necessary to further clarify the connotation of AI literacy and construct an AI literacy evaluation index system for students in colleges and universities,so as to provide reference support for the assessment of students’AI literacy development status,ability improvement and cultivation.[Method/process]From the perspective of the literacy continuum,the study systematically reviewed the origin and development of AI literacy,and through the deconstruction and reorganization of the content and elements of the continuum,mapped it to the construction of the index system of AI literacy.Then,we constructed an AI literacy evaluation framework for college students based on the KSAVE model and defined the connotation of elements through literature research.And then,the Delphi method was used to consult on the preliminary construction of the evaluation index system for AI literacy,and the analytic hierarchy process was used to determine the weight of evaluation indicators.[Result/conclusion]An evaluation system for college students’AI literacy consisting of 5 first-level indicators and 19 second-level indicators is constructed.The cultivation strategy of AI literacy is proposed from the three aspects of cognitive position,internal driving path and diversified scenario creation.