Evaluation of the application effect of personalized strategies based on"artificial intelligence"in the teaching of oral mucosal diseases
QIN Wen
LIU Qing
MENG Fanhui
SHI Zhiqiang
BIAN Fenghua
ZHU Zhenlai
NIU Lina
YE Tao
Abstract：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 AI-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.Results The findings indicated that Group B scored significantly higher in both theoretical and simulated assessments than Group A(P＜0.000 1),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.
Keywords：artificial intelligencepersonalized teachingoral mucosal diseasesteaching effectiveness
Publication Date：2025-08-28
Online Publishing Date：2025-10-15(First online date of this platform, not the publication date of the document)
Pages：4( 493-496 )