摘要
目的评估基于“人工智能”的个性化教学策略在口腔黏膜病学课程中的应用效果。方法本研究采用系统抽样法选取来自2019级、2020级和2021级的口腔医学本科生各20名,共计60名学生,随机分为传统教学模式(A组)和人工智能辅助个性化教学(B组)。通过理论考核和AI模拟标准化病人考核评估两组学生的学习效果,并进行问卷调查以获取对不同教学模式的主观反馈。结果B组的理论考核和AI模拟标准化病人考核成绩显著高于A组(P<0.0001),B组学员在各项考核中的平均分为(85.6±4.9),而A组为(78.4±6.2)。此外,人工智能教学策略显著提升了学生的学习兴趣,增加了对课程知识点的掌握,并更加乐于参与课堂互动(P<0.05)。结论基于“人工智能”的个性化策略在口腔黏膜病学的教学中,有效提升了学生的学习成绩和对课程的兴趣。研究结果为医学教育领域中的个性化教学提供了新的思路与实践依据,显示出人工智能在教育改革中的广泛应用潜力。
Objective To evaluate the effectiveness of personalized teaching strategies based on artificial intelligence in the course of oral mucosal diseases.Methods A systematic sampling method was used to select 20 undergraduate dental students from the class of 2019,2020,and 2021 cohorts,totaling 60 students.They were randomly assigned to traditional teaching model(Group A)and Al-assisted personalized teaching(Group B).The learning outcomes of the two groups were assessed through theoretical examinations and AI-simulated standardized patient assessments.Questionnaires were also administered to obtain subjective feedback on the different teaching modes.ResultsThe findings indicated that Group B scored significantly higher in both theoretical and simulated assessments than Group A(P<0.0001),with Group B achieving an average score of(85.6±4.9)compared to(78.4±6.2)for Group A.Additionally,the AI-based teaching strategy significantly enhanced students'interest in learning,increased their mastery of course knowledge points,and made them more willing to participate in classroom interactions(P<0.05).Conclusion The personalized strategies based on artificial intelligence effectively enhanced students'academic performance and interest in the course of oral mucosal diseases.The results provide new insights and practical references for personalized teaching in the field of medical education,demonstrating the broad potential of AI in educational reform.
作者
秦雯
刘青
孟凡辉
史志强
卞凤华
朱振来
牛丽娜
叶涛
QIN Wen;IU Qing;MENG Fanhui;HI Zhiqiang;BIAN Fenghua;ZHU Zhenlai;NIU Lina;YE Tao(State Key Laboratory of Oral&Maxillofacial Reconstruction and Regeneration&National Clinical Research Center for Oral Diseases,Shaanxi Xi'an 710032,China;Department of Oral Medicine,School of Stomatology,The Fourth Military Medical University,Shaanxi Xi'an 710032,China;Department of Medical Afairs Ofice,School of Stomatology,The Fourth Military Medical University,Shaanxi Xi'an 710032,China;Department of Prosthodontics,School of Stomatology,The Fourth Military Medical University,Shaanxi Xi'an 710032,China)
出处
《牙体牙髓牙周病学杂志》
2025年第8期493-496,共4页
Chinese Journal of Conservative Dentistry
基金
国家自然科学基金项目(82325012)
口颌系统重建与再生全国重点实验室自主课题项目(2024QN02)。
关键词
人工智能
个性化教学
口腔黏膜病学
教学效果
artificial intelligence
personalized teaching
oral mucosal diseases
teaching effectiveness
