Reflection and Exploration on Embedding Data Information Literacy into Traditional Chinese Medicine Graduate Education
10.16466/j.issn1005-5509.2024.05.017
- VernacularTitle:数据信息素养嵌入中医药研究生教育的思考和探索
- Author:
Jiazhen ZHU
1
;
Yangchenzi WU
;
Jiayang QI
Author Information
1. 浙江中医药大学 杭州 310053
- Keywords:
data;
information literacy;
traditional Chinese medicine;
graduate education;
dissertation;
education quality
- From:
Journal of Zhejiang Chinese Medical University
2024;48(5):621-626
- CountryChina
- Language:Chinese
-
Abstract:
[Objective]Embedding data information literacy in postgraduate education of traditional Chinese medicine,to provide an innovative approach to improve the quality of graduate theses.[Methods]By collecting blind review data of 891 doctoral dissertations submitted from 2016 to 2021 in Zhejiang Chinese Medical University,the quality of graduate theses based on factors such as postgraduate training category,subject,submission year,affiliated unit,thesis review indicators,proposes current problems and relevant countermeasures and suggestions was statistically analyzed.[Results]The proportion of articles in grades A,B and C was 85.07%,12.01%and 2.92%,respectively,with statistically significant differences among grades(P<0.001).According to the classification of first level disciplines,the results show that the overall quality of doctoral dissertations in traditional Chinese medicine is superior to other disciplines;according to the classification of training categories,the results show that the overall quality of non-directed doctoral dissertations is better than that of directed categories;classified by the year of submission for review,the results show that with the increasing of doctoral blind review papers in recent years,the overall quality of doctoral theses has gradually been improved;according to the classification of affiliations,the results show that the overall quality of doctoral dissertations from the second school of clinical medicine,school of pharmacy,and school of basic medicine is better than other colleges.A comprehensive explanation of factors such as the training category,discipline and major,year of submission for review affiliation and evaluation indicators for the doctoral thesis effectively provides feedback on the overall quality of the thesis.[Conclusion]Embedding data information literacy in postgraduate education is of great significance for improving the quality of postgraduate education,especially the quality of graduate theses.
