摘要
随着数字时代的发展,高等教育尤其是教学评价领域正经历重大转型。传统的教学评价方法在客观性和数据支持方面存在缺陷,这促使教育研究者探索以循证教学为基础的新方法。本研究采用文献综述和高校访谈法,对比分析传统教学评价方法与基于大数据和人工智能技术的新方法,提出了高校教学评价转型发展新路径。研究结果表明,循证教学在提升教学评价的客观性和全面性方面发挥关键作用,是数智化转型中不可或缺的一环。对于指导未来教育评价的实践和政策制定具有重要意义。
With the development of the digital era,higher education,especially in the field of teaching evaluation,is undergoing a significant transformation.Traditional methods of teaching evalu⁃ation have defects in terms of objectivity and data support,which urges education researchers to ex⁃plore the new method on the basis of evidence-based teaching.This study applies literature review and college interview,compares and analyzes traditional methods of teaching evaluation and the new method based on big data and artificial intelligence technology,and proposes the new path of transfor⁃mation development of teaching evaluation of colleges and universities.The results indicate that evidence-based teaching plays a key role in promoting the objectivity and comprehensiveness of teach⁃ing evaluation,and is an indispensable part of digital and intelligent transformation.It has important significance to guide the practice of future teaching evaluation and set policies.
作者
陈智勇
李晓琳
CHEN Zhiyong;LI Xiaolin(Guangdong Medical University,Network and Information Center,Zhanjiang 524023,China;Guangdong Medical University,Affiliated Hospital,Zhanjiang 524023,China)
出处
《中国医学教育技术》
2024年第5期639-643,共5页
China Medical Education Technology
基金
2022年度广东医科大学本科教学质量和教学改革工程项目(1JG22170)。
关键词
循证教学
数智化转型
教学评价
大数据
evidence-based teaching
digital and intelligent transformation
teaching evalua⁃tion
big data
作者简介
陈智勇(1980—),男,广东湛江人,高级实验师,硕士,研究方向为教学信息化建设;通信作者:李晓琳(1988—),女,广东湛江人,经济师,硕士,研究方向为数据统计分析。E-mail:xiaolinli@gdmu.edu.cn。
