人工智能背景下非物理类大学物理教学方法研究  

Research on the Teaching Methods of College Physics in Non-Physics Major under the Background of Artificial Intelligence

作　　者：曹洪 CAO Hong(School of Materials Science and Engineering,Chongqing Jiaotong University,Chongqing 400074)

机构地区：[1]重庆交通大学材料科学与工程学院,重庆400074

出　　处：《物理通报》2024年第6期11-13,共3页Physics Bulletin

摘　　要：通过在线课程和大数据技术对大学物理的教学方法进行了研究,主要从在线课程与考核相结合、课堂在线互动以及课后在线习题三方面对教学方法进行了探讨,研究发现,通过这三方面的教学改革可对学生学习情况进行深入地了解,并对学生实时督导.This article studied the teaching methods of college physics through online courses and big data technology.The teaching methods were explored from three aspects,including the combination of online courses and assessments,online classroom interaction,and online exercises after class.Research has found that through these teaching reforms measures,students can gain a deeper understanding of their learning situation and implement real-time supervision.

关 键 词：人工智能 大学物理 在线课程 大数据技术 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] O4-4[自动化与计算机技术—控制科学与工程] G642[理学—物理]