摘要
高职院校传统课堂教学评价存在评价维度单一、数据处理效率低、主体协同性不足等问题,难以满足职业教育个性化的发展需求,而人工智能技术的应用能够实现教学过程数据的全周期采集、多维度评价模型的构建及个性化改进方案的生成,推动教学评价从“经验驱动”向“数据驱动”转变。文章阐述了人工智能助力课程教学评价智能化改革的必要性,并对人工智能驱动下高职院校课程教学评价智能化路径展开详细探讨。
The traditional classroom teaching evaluation in higher vocational colleges has some problems such assingle evaluation dimensions,low data processing efficiency,and insufficient subject collaboration,which are difficult to meet the personalized development needs of vocational education.However,the application of artificial intelligence technology can achieve the full-cycle collection of teaching process data,the construction of multidimensional evaluation models,the generation of personalized improvement plans,and promote the transformation of teaching evaluation from“experience-driven”to“data-driven”.In this regard,this paper first elaborates on the necessity of artificial intelligence assisting in the intelligent reform of course teaching evaluation,then briefly analyzes the current situation of course teaching evaluation in higher vocational colleges,and finally conducts a detailed discussion on the intelligent path of course teaching evaluation in higher vocational colleges driven by artificial intelligence,hoping to provide a reference for subsequent related research.
作者
姚志兰
YAO Zhi-lan(Jiangsu Agri-animal Husbandry Vocational College,Taizhou Jiangsu 225300,China)
出处
《泰州职业技术学院学报》
2025年第6期23-26,共4页
Journal of Taizhou Polytechnic College
基金
国家级职业教育教师教学创新团队课题研究项目(ZI2021100104,项目主持人:王丽华).
关键词
人工智能
高职院校
课程教学
评价智能化
artificial intelligence
higher vocational colleges
course teaching
intelligent evaluation
