摘要
在AI技术视角下构建民办大学通识教育课程设计的综合评价系统,以解决传统评价系统中评价方式单一化、反馈迟缓、缺乏动态监测等问题。采用课前、课堂、课后三个阶段的综合评价法,构建包括知识维度、能力维度、态度维度、反馈维度的多维度评价指标。以某民办高校两门通识课程教学班为研究对象,分别设置实验组与对照组,进行比较研究。研究结果表明,AI平台的监测与反馈能够提升评估结果的科学性与教育反馈的实效性,提升学生的学习效率与课堂参与度,使学生的自主学习能力得到有效增强。评价数据可以为教师提供精准的教学反馈支持,帮助其优化教学设计与资源分配。
The study constructs a comprehensive evaluation system for the course design of general education in private universities from the perspective of AI technology to solve the problems of the traditional evaluation system,such as simple evaluation methods,slow feedback and lack of dynamic monitoring,etc.;and multi-dimensional evaluation index,including knowledge,ability,attitude and feedback dimension by using the comprehensive evaluation method of three stages before,in and after class.Through taking two general education classes of a private university as the research object,the study sets up the experimental group and the control group respectively to make a comparative study.The results show that the monitoring and feedback of AI platform can improve the scientificity of evaluation results and the effectiveness of education feedback,improve students’learning efficiency and class participation,and effectively enhance students’autonomous learning ability.Evaluation data can provide teachers with accurate teaching feedback support,and help them optimize teaching design and resource allocation.
作者
高帆
侯露露
Gao Fan;Hou Lulu(Xi’an Siyuan University,Xi’an 710038,China)
出处
《黑龙江科学》
2025年第5期109-111,共3页
Heilongjiang Science
基金
西安思源学院校长基金科研项目“Ai赋能国际中文数字化教学资源建设的路径探究”(项目编号:XASYA24Q04)的阶段性研究成果之一。
关键词
人工智能
民办高校
通识教育课程设计
综合评价法
Artificial intelligence
Private colleges and universities
General education curriculum design
Comprehensive evaluation method
