Research on the correlation between the preference of personalized learning resource recommendation system and self-directed learning level of medical students
10.3760/cma.j.cn116021-20221006-01329
- VernacularTitle:医学生个性化学习资源推荐系统偏好与其自主学习水平的相关性研究
- Author:
Xiaodan MA
1
;
Yuqing RUAN
;
Bowen ZHANG
;
Yonghui YUAN
Author Information
1. 中国医科大学肿瘤医院/辽宁省肿瘤医院院长办公室，沈阳 110042
- Keywords:
Personalized learning;
Resource recommendation system;
Self-directed learning;
Medical student
- From:
Chinese Journal of Medical Education Research
2023;22(6):942-946
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To understand the preferences of medical students for the performance, function and recommendation method of personalized learning resource recommendation system, as well as the correlation with the self-directed learning ability of medical students, so as to provide a reference for further building an effective learning platform and learning resource tool.Methods:A total of 482 first-year to third-year medical students in a medical university were selected as the research subjects. The electronic self-directed learning scale and the self-designed medical education learning resources recommendation system of performance, function and recommendation method scale were used to conduct a questionnaire survey. Pearson correlation analysis was used to explore the correlation between the performance, function and recommendation method preference of medical students' information resource recommendation system and self-directed learning ability.Results:Medical students had high demand and preference for learning [(4.35±0.58) points], accuracy [(4.32±0.62) points] and timeliness [(4.32±0.62) points] of learning resource recommendation system. In terms of the function of the recommendation system, the following [(4.10±0.71) points] and sharing [(3.94±0.82) points], and searching [(4.35±0.59) points], feedback [(4.09±0.73) points] and publication [(3.80±0.88) points] in the interactive function were all highly rated. For the preference of recommendation methods, the scores of discipline connection [(4.07±0.66) points] and time line [(4.02±0.74) points] were higher. The dimensions with high relevance to self-directed learning included timeliness ( r=0.367), social attributes ( r=0.361), and the basis of similar groups ( r=0.316). Conclusion:Medical students are familiar with and have a positive attitude towards the performance, functions and recommendation methods of the learning resource recommendation system, and have a cognitive foundation for the construction of the learning resource recommendation system and related resource platforms. This system has a certain correlation with the self-directed learning ability of medical students. Promoting the construction of medical education information resources is conducive to promoting the development of self-directed learning ability of medical students.
