Research on the correlation between the preference of personalized learning resource recommendation system and self-directed learning level of medical students
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Investigation Research|更新时间:2023-07-15
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Research on the correlation between the preference of personalized learning resource recommendation system and self-directed learning level of medical students
Chinese Journal of Medical Education ResearchVol. 22, Issue 6, Pages: 942-946(2023)
Ma Xiaodan, Kalbinur·Kayim, Ruan Yuqing, et al. Research on the correlation between the preference of personalized learning resource recommendation system and self-directed learning level of medical students. [J]. Chinese Journal of Medical Education Research 22(6):942-946(2023)
Ma Xiaodan, Kalbinur·Kayim, Ruan Yuqing, et al. Research on the correlation between the preference of personalized learning resource recommendation system and self-directed learning level of medical students. [J]. Chinese Journal of Medical Education Research 22(6):942-946(2023) DOI: 10.3760/cma.j.cn116021-20221006-01329.
Research on the correlation between the preference of personalized learning resource recommendation system and self-directed learning level of medical students
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
2
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
2
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
2
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.
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Avazpour I, Pitakrat T, Grunske L, et al. Dimensions and metrics for evaluating recommendation systems [M] //Recommendation Systems in Software Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013: 245-273. DOI: 10.1007/978-3-642-45135-5_10http://dx.doi.org/10.1007/978-3-642-45135-5_10.