摘要
人工智能技术的发展为教育的发展变革提供了新环境,为大学生自主高效学习提供了新契机。大学生自主学习水平的高低主要通过前测分析、过程监督及后测总结三个方面来体现。前测,需要对学习者的个性化信息进行分析,即学习兴趣和学习风格,以及学习资源的精准提供;自主学习过程需要对学习者的注意力进行监督,并进一步对学习风格进行测评以实现学习过程的精准干预,同时利用技术手段实现优质资源的高效利用;后测,可以从多元角度对学习者的学习成效进行总结评价。在整个自主学习的阶段中,人工智能技术贯穿始终,成为大学生自主高效学习的重要辅助手段。
The development of artificial intelligence technology provides a new environment for the development and reform of education and a new opportunity for college students to learn independently and efficiently.The level of autonomous learning of college students is mainly reflected in three aspects:pretest analysis,process supervision and post test summary.The pretest needs to analyze the learners’ personalized information,e-learning interest and learning style,as well as the precise provision of learning resources.The autonomous learning process needs to supervise the learners’ attention,and further evaluate the learning style to achieve the precise intervention in the learning process,and at the same time use technical means to achieve the efficient use of high-quality resources.The post test can be conducted from many aspects which are used to evaluate the learning effect of learners.In the whole stage of autonomous learning,artificial intelligence technology runs through all the time and becomes an important auxiliary means for college students to study independently and efficiently.
作者
王涵
佟玉英
Wang Han;Tong Yuying(Institute of Educational Science,Heilongjiang University,Harbin150080,China)
出处
《齐鲁师范学院学报》
2020年第6期15-21,共7页
Journal of Qilu Normal University
基金
2017年黑龙江省教育科学“十三五”规划一般项目“大学生对教师课堂教学有效性多维评估体系构建”(编号:GBC1317108)
黑龙江大学2020年研究生创新科研项目“学习者角度下大学生在线学习效能提升策略研究”(YJSCX2020-093HLJU)
关键词
人工智能
大学生
自主学习
Artificial intelligence
College students
Autonomic learning