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Based on the virtual simulation of "digital embryo" in the digital teaching platform for medical morphology, this study constructs the course resources of human embryology by integrating the contents of the course, recording micro-videos, formulating course guides, and analyzing clinical cases, then implements the blended teaching model of pre-class preview, in-class discussion, and after-class expansion, and establishes a course evaluation system combining formative assessment and end-of-course assessment. Comparison of assessment scores and satisfaction questionnaire between traditional off-line teaching and blended teaching showed a significant improvement in total score, and more than 5% of the students reported a significant reduction in the difficulty of the course, while the degree of satisfaction with the course was increased by 11%. This suggests that the establishment of the blended teaching model of human embryology meets the requirements for personalized and diversified learning among students, realizes the diversity of teaching methods and teaching evaluation, and improves the quality of teaching.
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Objective:To discuss the practice and application of "artificial intelligence + big data" in the construction of thoracic surgery golden course.Methods:The intern students of the Department of Thoracic Surgery in Harbin Medical University Cancer Hospital were selected as the research objects, and they were randomly divided into 2 groups with 36 cases in each group. The control group was taught with regular courses, and the observation group was taught by the golden course system under "artificial intelligence + big data". After the course, self-made assessment forms were used to assess the academic performance (theoretical knowledge assessment results and skill operation assessment results) of the two groups of medical students. The excellent and good rate of knowledge mastery and the mastery of clinical operation techniques were scored by the teachers, and the evaluation was made from the aspects of learning attitude, the mastery degree of theoretical knowledge and clinical operational techniques, etc. In addition, self-made innovative thinking ability scale was used to assess the medical students. SPSS 22.0 was used for independent samples t test and chi-square test. Results:There was no statistically significant difference between the two groups of theoretical knowledge assessment scores and skill operation assessment scores before the teaching; after the course, the theoretical knowledge assessment scores and skill operation assessment scores of the control group were higher than those before the teaching, with statistically significant differences ( t=5.37, 4.17, P<0.05). After the course, the theoretical knowledge assessment scores and skill operation assessment scores of the observation group were higher than those before the teaching, with significant differences ( t=10.93, 8.24, P<0.05). The results of theoretical knowledge assessment and skill operation assessment in the observation group were significantly higher than those in the control group after the course ( t=7.10, 5.77, P<0.05). In the control group, 17 cases were excellent in knowledge mastery, accounting for 47.22%, and the rate of knowledge mastery was 83.33% (30/36); in the observation group, 26 cases were excellent in knowledge mastery, accounting for 72.22%, and the excellent and good rate of knowledge mastery was 100% (36/36), and the difference was statistically significant ( χ2=4.55, P=0.033). After the course, the innovative thinking ability of the control group was higher than that before the teaching, the innovative thinking ability of the observation group was higher than that before the teaching, and the innovative thinking ability of the observation group was higher than that of the control group, and the difference was statistically significant ( t=7.07, P<0.001). Conclusion:The use of the "artificial intelligence + big data" golden course to build a teaching system can improve the academic performance, knowledge mastery and innovative thinking ability of medical students.
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In order to cultivate talents who fuel and lead medical innovation, it is critical to implement medical English writing "Golden Course" in the substantial development of English teaching in medical universities. Based on the guidelines issued by the Ministry of Education, this paper proposes five principles in the construction of medical English writing "Golden Course", suggests the integration of big data technology, and explores approaches to construct "Golden Course" in terms of teaching objectives, curriculum design, models of instruction, curriculum evaluation and teaching staff.
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Objective:To explore the implementation method of case teaching in pharmacology teaching according to the standards of golden course.Methods:The students from Batch 2017 clinical medical students in our university were selected as the research objects, and randomized into the control group ( n=121) and the case teaching group ( n=171). The control group used online learning and traditional lecture, and the case teaching group adopted the online teaching and case teaching methods. And the teaching effect was evaluated by questionnaire survey and final performance analysis. Results:Compared with control group, the case teaching group had better final performance ( P<0.01). The questionnaire survey showed that the case teaching improved the learning interest of students and also enhanced their application ability of the knowledge ( P<0.01 or P<0.05). Conclusion:Case teaching has achieved good teaching effect in pharmacology teaching.