AIM To evaluate the application effect of “big data platform combined with flipped class model” in instruction of acute myocardial infarction.
METHODS A total of 80 five-year-program undergraduates of clinical medicine in Grade 2019 in Air Force Medical University were randomly divided into two groups: experimental group (n=40) and control group (n=40). The experimental group was taught in the mode of “big data platform combined with flipped class” and the control group was taught in the traditional mode. After the course, the teaching effect of “big data platform combined with flipped class model” and traditional teaching method was evaluated by satisfaction questionnaire, time of learning and examination scores.
RESULTS The test scores of the experimental group were (88 ± 4) points and that of the control group were (80 ± 2) points. The theoretical knowledge test scores of the experimental group were significantly higher than those of the control group (P<0.05). The input time of pre class preview, post class review and autonomous learning in the experimental group was (71 ± 15) min, (74 ± 17）min and (89 ± 9) min were significantly higher than those in the control group (33 ± 9) min, (62 ± 18) min and (35 ± 11) min (all P<0.05).. The satisfaction questionnaire survey showed that the experimental group was superior to the control group in five aspects, namely, improving the mastery of theoretical knowledge, cultivating learning interest, enhancing the ability of independent learning, cultivating clinical thinking ability, and approving the teaching mode (all P<0.05).
CONCLUSION The application of big data platform combined with flipped class model in instruction of acute myocardial infarction can significantly improve the students’ learning effect of acute myocardial infarction, autonomous learning ability and satisfaction with instruction in undergraduates.
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