The ideological and political education in standardized residency training plays an important role in cultivating medical talents with noble medical ethics and exquisite medical skills. Teaching evaluation is an important method to promote teaching improvement and optimization. However, there are still some problems and challenges in the evaluation of ideological and political education for standardized residency training. This article proposes the ideological and political education of standardized residency training can be comprehensively evaluated by the context-input-process-product evaluation model from four aspects: background, input, process, and result evaluation. The aim is to provide solid support and guidance for the ideological and political education route in standardized residency training.
Objective To explore the teaching ability of the neurology refresher doctors by case teaching method combined with flipped classroom teaching mode. Methods The refresher doctors who were studying in the infection group of Department of Neurology, Xuanwu Hospital Capital Medical University between March 2019 and September 2020 were selected. According to the time of admission, the enrolled refresher doctors were divided into control group (grade 2019) and observation group (grade 2020). The control group adopted the traditional teaching mode, and the observation group adopted the case teaching method combined with the flipped classroom teaching mode. A self-designed questionnaire was used to compare the teaching ability of the two groups of refresher doctors. Results A total of 44 refresher doctors were included. Among them, there were 24 refresher doctors in the control group and 20 refresher doctors in the observation group. The self-evaluation of the teaching ability of the two groups of refresher doctors and the evaluation of their teaching ability by the teachers showed that, except for the item “enthusiasm for teaching and willingness to spend enough time to participate in the evaluation of teaching work” of humanistic quality (P>0.05), the observation group was better than the control group in professional knowledge, teaching ability, teaching methods and humanistic quality (P<0.05). Conclusions Through the case teaching method combined with flipped classroom teaching mode, the teaching ability of refresher doctors can be cultivated, which is helpful for training more high-quality doctors for the country and promoting the sustainable and coordinated development of medical education. However, the awareness and enthusiasm of the refresher doctors to teaching work need to be improved.
ObjectivesTo systematically review the application of evidence-based medicine (EBM) combined with problem-based learning (PBL) method in clinical teaching.MethodsDatabases including WanFang Data, CNKI, VIP, CBM, PubMed and EMbase were searched to identify eligible randomized controlled trials that compared EBM plus PBL with traditional lecture based learning (LBL) method in clinical teaching from inception to March 28th, 2020. Two reviewers independently screened literature, extracted data and assessed risk bias of included studies. Statistical analysis was performed using Stata 14.0 software.ResultsA total of 33 randomized controlled trials with 2 855 students were included. The results showed that students in EBM combined with PBL group obtained better scores of specialized theory (WMD=6.87, 95%CI 5.08 to 8.66, P<0.001), skills examination (WMD=10.57, 95%CI 8.98 to 12.16, P<0.001) and case analysis (WMD=9.79, 95%CI 4.71 to 14.88, P<0.001), comparing with those in LBL group. Besides, EBM combined with PBL method improved students’ overall ability including independent learning capability, clinical thinking ability, problem-solving capability, literature exploring capacity, communication and presentation skills and team-work ability.ConclusionsApplication of EBM combined with PBL method can improve clinical teaching quality.
Objective To compare the effectiveness of three teaching modes, namely traditional teaching, online teaching, and online and offline blended teaching, in the teaching of the clinical nutrition elective course, and to evaluate the advantages of the online and offline blended teaching mode. Methods A total of 316 students taking the clinical nutrition elective course at Sichuan University in one of the three semesters, Fall 2019-2020, Spring 2019-2020, and Fall 2020-2021, were enrolled as the study population. In the offline group, 69 students used the traditional teaching mode; in the online group, 133 students used the online teaching mode through Chaoxing Xuexitong application; in the online and offline blended teaching group, 144 students used the traditional teaching mode combined with the online teaching. The final exam results and questionnaire satisfaction of the three groups were analyzed and compared. The exam results were presented as median (lower quartile, upper quartile). Results The exam results of the online group [males: 88.0 (85.0, 93.0); females: 91.0 (86.0, 94.0)] and the online and offline blended group [males: 90.0 (83.0, 94.0); females: 91.0 (87.5, 95.0)] were significantly higher than those of the offline group [males: 83.0 (77.0, 89.0); females: 77.5 (67.0, 87.0)] (P<0.001). Compared to the offline teaching mode and online teaching mode, the female students’ satisfaction with the online and offline teaching mode was better (P<0.01). Conclusion The online and offline blended teaching mode can significantly improve students’ performance and learning motivation, and provide a basis for promoting the reform of the clinical nutrition elective course.
Artificial intelligence (AI) technologies, encompassing virtual reality, augmented reality and adaptive learning platforms, offer immersive and personalised opportunities for undergraduate orthopaedic education. However, their adoption is hindered by limited faculty acceptance, data privacy and ethical risks, and disparities in educational resources. This study examines the opportunities and challenges of AI integration in orthopaedic teaching and proposes strategies including systematic AI training, strengthened data protection, resource sharing, and blended learning models. These measures aim to enhance the quality of learning for students and educators while fostering innovation and progress in medical education.