人工智能背景下高校大学生个性化学习探索  

Exploration of Personalized Learning for College Students under the Background of Artificial Intelligence

作　　者：王琦[1] 王金水[1] 吴兴泉[1] 李桂玲[1] 李会云 WANG Qi;WANG Jinshui;WU Xingquan;LI Guiling;LI Huiyun(Henan University of Technology,Zhengzhou Henan 451100,China;Luoyang Normal University,Luoyang Henan 471002,China)

机构地区：[1]河南工业大学,河南郑州451100 [2]洛阳师范学院,河南洛阳471002

出　　处：《信息与电脑》2024年第24期227-229,共3页Information & Computer

基　　金：河南省通识教育示范课程(项目编号:教办高[2024]328号);2024年校级智慧课程建设项目“分子生物学”(项目编号:2024zhkc-38);2024年度国际教育学院教育教学改革研究与实践项目(项目编号:GJXY202419)。

摘　　要：文章探讨了人工智能(Artificial Intelligence,AI)技术在高校大学生个性化学习中的应用和潜力。AI技术通过分析学生数据,能为学生提供定制化学习资源和辅导,满足个性化需求,提高学习效率和质量。AI技术能够识别学习模式,预测学习困难,提供实时反馈,并通过智能推荐系统和信息管理工具改善学习资源获取与利用。同时,AI技术能激发学生学习兴趣,提高学生学习参与度,促进他们的协作学习。然而,AI技术在教育中的应用也面临挑战,包括技术有效性、公平性、保护隐私和数据安全,以及平衡技术应用与教师创造性教学等。未来研究需关注AI技术的长期效果,教育实践中应考虑伦理和隐私问题,确保学生数据安全,并克服技术和资源挑战,以实现个性化学习的广泛应用。The paper discusses the application and potential of artificial intelligence(AI)technology in the personalized learning of college students.By analyzing student data,AI technology can provide students with customized learning resources and tutoring to meet personalized needs and improve learning efficiency and quality.AI technology can identify learning patterns,predict learning difficulties,provide real-time feedback,and improve the acquisition and utilization of learning resources through intelligent recommendation systems and information management tools.At the same time,AI technology can stimulate students’interest in learning,improve students’learning participation,and promote their collaborative learning.However,the application of AI technology in education also faces challenges,including technical effectiveness,fairness,protection of privacy and data security,and balancing the use of technology with teachers’creative teaching.Future research needs to focus on the long-term effects of AI technology,and ethical and privacy issues should be considered in educational practice,to ensure the security of students’data,and to overcome technical and resource challenges to achieve the widespread application of personalized learning.

关 键 词：人工智能 高校大学生 个性化学习 

分 类 号：G434[文化科学—教育学]