摘要
自学考试作为一种灵活的学习方式,在高等教育领域发挥着重要作用。其评价体系的建设和完善,必须始终坚持公平性、科学性和有效性的原则,以确保自学考试制度能够持续为我国高等教育体系的完善、专门人才的培养以及服务社会经济建设做出应有的贡献。随着时代的变迁和技术的进步,自学考试学业综合评价体系也面临新的挑战和机遇。在人工智能技术发展的驱动下,如何合理利用人工智能技术在学业综合评价体系中更加公平、公正、高效地运作是自学考试目前亟待解决的问题。通过全方位了解自学考试学业综合评价的现状,发现其中存在的问题,并思考如何将人工智能技术融入自学考试学业综合评价体系中,最终达到提高评价过程的准确性和公平性的目的,以为自考生提供更个性化和适应性的学习体验,进而为构建终身教育的学习型社会添砖加瓦。
As a flexible learning mode,self-taught higher education examinations have played an important role in the field of higher education.And the fairness,scientificity and effectiveness of them are the key and cores of the exams;therefore,the construction and improvement of the evaluation system must also adhere to the principles of fairness,scientificity and effectiveness,so as to ensure that the system can continue to make outstanding contributions to the improvement of the higher education in China.However,with the change of the times and the progress of technology,the Continuous and Comprehensive Evaluation(CCE)of self-taught higher education examinations is facing both challenges and opportunities.In the context of AI,it has been an urgent problem for the self-taught higher education examinations to make good use of the artificial intelligence technology in the CCE,as well as to help the AI operate in a fair,just and efficient way.This article,by means of field research,questionnaire survey and interviews of the universities in Hubei province that have long been practicing CCE for the self-taught higher education examinations,intends to find out the problems,and think about how to integrate AI technology into the CCE for the exams,so as to ultimately achieve the goal of improving the accuracy and fairness of the evaluation process for the practitioners,providing students with a more personalized and adaptive learning experience,and helping with the construction of a lifelong learning society.
作者
谈雅君
娄晓雯
Tan Yajun;Lou Xiaowen(Wuhan Yangtze Training Institute of Education,Wuhan,Hubei 430205,China)
出处
《湖北招生考试》
2024年第2期23-27,共5页
Enrollment and Examination in Hubei
基金
国家教育考试科研规划2021年度课题“高等教育自学考试学业综合评价体系改革研究——以湖北省为例”(课题编号:GJK2021031)的研究成果
关键词
人工智能技术
自学考试
学业综合评价
artificial intelligence technology
self-taught higher education examinations
Continuous and Comprehensive Evaluation/CCE
