Objective:To investigate the application effect of the SECI theoretical model-based training program in enhancing clinical nursing teachers‘information-based teaching capabilities.Methods:A self-control study design ...Objective:To investigate the application effect of the SECI theoretical model-based training program in enhancing clinical nursing teachers‘information-based teaching capabilities.Methods:A self-control study design was adopted,with 124 clinical nursing teachers from a tertiary hospital participating in the SECI training program from January 2024 to June 2025.The program was implemented through four stages:“Establishing Teacher Community(Socialization)”,“Case Teaching(Extravagant)”,“Integration of Discipline and Research(Fusion)”,and“Routine Application of Teaching(Implicit)”.Self-designed questionnaires were used to assess teachers’information-based teaching capabilities before and after training,covering four dimensions:awareness and attitude towards information-based teaching,foundational skills,teaching practice,and professional practice.Data analysis was performed using SPSS 26.0.Results:Post-training,the total score of clinical nursing teachers’information-based teaching capabilities increased from(53.47±15.56)to(78.92±12.34),showing statistically significant differences(t=15.732,P<0.001).Scores in all dimensions also showed significant improvements(P<0.05).Multivariate linear regression analysis revealed that educational background(β=0.198,P=0.026)and professional title(β=0.184,P=0.040)were primary influencing factors for pre-training information-based teaching capabilities,while their impact weakened post-training.Conclusion:The training program based on SECI theory effectively enhances clinical nursing educators’digital teaching capabilities.Its structured,spiral-up knowledge transformation process helps bridge competency gaps among teachers from diverse backgrounds,facilitates the mutual conversion and deep integration of tacit and explicit knowledge,and provides a practical new model for developing digital teaching competencies in clinical nursing education.展开更多
基金2023 Southwest Medical University Higher Education Teaching Reform and Research Project(Project No.:JG2023jdyb032)2023 Chengdu Medical College School-level Undergraduate Educational Reform Project(Project No.:JG2023057)-Context of“New Medical Science”。
文摘Objective:To investigate the application effect of the SECI theoretical model-based training program in enhancing clinical nursing teachers‘information-based teaching capabilities.Methods:A self-control study design was adopted,with 124 clinical nursing teachers from a tertiary hospital participating in the SECI training program from January 2024 to June 2025.The program was implemented through four stages:“Establishing Teacher Community(Socialization)”,“Case Teaching(Extravagant)”,“Integration of Discipline and Research(Fusion)”,and“Routine Application of Teaching(Implicit)”.Self-designed questionnaires were used to assess teachers’information-based teaching capabilities before and after training,covering four dimensions:awareness and attitude towards information-based teaching,foundational skills,teaching practice,and professional practice.Data analysis was performed using SPSS 26.0.Results:Post-training,the total score of clinical nursing teachers’information-based teaching capabilities increased from(53.47±15.56)to(78.92±12.34),showing statistically significant differences(t=15.732,P<0.001).Scores in all dimensions also showed significant improvements(P<0.05).Multivariate linear regression analysis revealed that educational background(β=0.198,P=0.026)and professional title(β=0.184,P=0.040)were primary influencing factors for pre-training information-based teaching capabilities,while their impact weakened post-training.Conclusion:The training program based on SECI theory effectively enhances clinical nursing educators’digital teaching capabilities.Its structured,spiral-up knowledge transformation process helps bridge competency gaps among teachers from diverse backgrounds,facilitates the mutual conversion and deep integration of tacit and explicit knowledge,and provides a practical new model for developing digital teaching competencies in clinical nursing education.
