高职院校学生学习行为分析模型的构建被引量：3

Construction of a Learning Behavior Analysis Model for Vocational College Students

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摘要云大物智移技术飞速发展,改变了人类社会经济生活的方方面面,也对学校的教学模式、学习方式的创新提供了条件,线上线下混合式教学模式已成常态,智慧教学越来越受到关注,学生的学习呈现出协同化、数字化、泛在化及个性化的特点。构建学生学习行为分析模型,采集学生学习行为,利用聚类算法、相关性分析等对学生的行为进行分析,将分析结果反馈给学习利益相关者及学习平台,以优化教学内容与教学策略,改善学习行为与方法,提高学习效率。 The rapid development of cloud computing,big data,the Internet of Things,artificial intelligence,and mobile internet technology has changed all aspects of socio-economic life,and also has provided conditions for innovation in school teaching models and learning methods.Smart teaching is receiving increasing attention,and students'learning appears characteristics of collaboration,digitization,Ubiquity,and personalization.It has constructed an analysis model for students'learning behavior and applied personalized learning recommendation algorithms.It is a powerful means to promote personalized intelligent learning.The rapid development of cloud computing,big data,the Internet of Things,artificial intelligence,mobile internet technology has changed all aspects of socio-economic life,and also has provided conditions for innovation in school teaching models and learning methods.The mixed online and offline teaching mode has become the norm,and intelligent teaching is receiving increasing attention.Students'learning presents characteristics of collaboration,digitization,universality,and personalization.We construct an analysis model for students'learning behavior and collect their learning behavior,using clustering algorithms,correlation analysis,and other methods to analyze students'behavior,feedback the analysis results to learning stakeholders and learning platforms,in order to optimize teaching content and strategies,improve learning behavior and methods,improve learning efficiency.

作者李法春徐云剑 LI Fachun;XU Yunjian(Guangdong Agriculture Industry Business Polytechnic,Guangzhou 510507,China)

机构地区广东农工商职业技术学院

出处《广东农工商职业技术学院学报》 2023年第3期81-86,共6页 Journal of Guangdong Agriculture Industry Business Polytechnic

基金中国高校产学研创新基金(阿里云高校数字化创新专项立项课题2021ALA02023)。

关键词高职院校学习行为聚类算法相关性分析分析模型 vocational colleges learning behavior clustering algorithm correlation analysis analysis model

分类号 G715 [文化科学—职业技术教育学]

作者简介李法春(1969-),男,湖南临澧人,教授。研究方向:网络与数据库。