基于人工智能的大学生学业预警模式研究  

Research on college⁃students school precaution model based on artificial intelligence

作　　者：肖明[1,2] 余琳 肖毅 陈锟[3] 周东波[3] 赵亮[3] XIAO Ming;YU Lin;XIAO Yi;CHEN Kun;ZHOU Dongbo;ZHAO Liang(Hubei Key Laboratory of Digital Education,Central China Normal University,Wuhan 430079,China;Informatization Office,Central China Normal University,Wuhan 430079,China;Faculty of Artificial Intelligence in Education,Central China Normal University,Wuhan 430079,China;School of Information Management,Central China Normal University,Wuhan 430079,China)

机构地区：[1]华中师范大学数字教育湖北省重点实验室,湖北武汉430079 [2]华中师范大学信息化办公室,湖北武汉430079 [3]华中师范大学人工智能教育学部,湖北武汉430079 [4]华中师范大学信息管理学院,湖北武汉430079

出　　处：《现代电子技术》2025年第8期155-163,共9页Modern Electronics Technique

基　　金：国家自然科学基金项目(62177017);数字教育湖北省重点实验室开放基金项目(F2024G03);湖北省高等学校实验室研究项目(HBSY2024-40);校级实验室研究项目(2024sys02);教育部人文社会科学研究项目(21YJA630098);教育部产学合作协同育人项目(220504555160842);中央高校基本科研业务费专项资金项目(CCNU24ZZ131)。

摘　　要：人工智能如何赋能人才培养是新一代信息技术与教育深度融合的重要研究内容,赋能大学生的学业预警是及时发现大学生成长问题、确保其成才的重要手段。为此,提出一种基于人工智能的大学生学业预警模式,以某高校近1 000名大一新生为研究对象,在遵循隐私保护、防止个人隐私泄露的前提下,对所采集的校园网络大数据、上网行为数据、教务数据等进行脱敏处理,运用人工智能的感知、分析与反馈技术来探究大学生的上网等行为与其学业的相关性,构建学业预警模型。结果表明,所研究的学业预警模型能够较好地预测学生学业风险,有助于实现规模化学生群体下的个性化人才培养模式探索,可为人工智能技术的教育教学落地应用建立有效途径。How artificial intelligence empowers talent cultivation is an important research content for the deep integration of new generation information technology and education.Empowering college students with school precaution is an important means to timely discover their growth problems and ensure their success.A college student school precaution model based on artificial intelligence is proposed.Taking nearly 1000 freshmen in a college as the research object,under the premise of following privacy protection and preventing personal privacy leakage,the collected campus network big data,online behavior data,academic affairs data are desensitized,and artificial intelligence is used to perceive,analyze and feedback technology to explore the relevance of college students'online behavior and their studies,and build an academic early warning model.The results indicate that the researched school precaution model can effectively predict student precaution risks,which herps to explor personalized talent cultivation models for large-scale student groups,and establish effective ways for the implementation and application of artificial intelligence technology in education and teaching.

关 键 词：人工智能赋能 教育大数据 上网行为 学业预警 预警模型 隐私保护 

分 类 号：TN919-34[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]