Comparison of sensory learning style distribution of naval officers and soldiers with different personality characteristics based on online course learning
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Investigation Research|更新时间:2024-02-27
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Comparison of sensory learning style distribution of naval officers and soldiers with different personality characteristics based on online course learning
Chinese Journal of Medical Education ResearchVol. 23, Issue 1, Pages: 43-50(2024)
作者机构:
1.海军军医大学职业教育中心,上海 200433
2.牡丹江医学院教师发展与教学评估中心,牡丹江 157011
3.中国人民解放军联勤保障部队第九六七医院军队伤病员管理科,大连 116021
作者简介:
Zhou Lin, Email: qiaolic@hotmail.com
基金信息:
The Planning Project for National Defense Military Education Discipline in 2023(JYKY-C2023015);Social Science Cultivation Fund of Naval Medical University in 2022(2022SK003);Teaching Achievement Approval and Cultivation Project of Naval Medical University in 2023(JPY2022A03);Key Commissioned Project of Higher Education and Teaching Reform Research of Heilongjiang Provincial Department of Education in 2021(SJGZ20210073)
Lu Juan, Ren Fengyun, Zhou Lin. Comparison of sensory learning style distribution of naval officers and soldiers with different personality characteristics based on online course learning. [J]. Chinese Journal of Medical Education Research 23(1):43-50(2024)
Lu Juan, Ren Fengyun, Zhou Lin. Comparison of sensory learning style distribution of naval officers and soldiers with different personality characteristics based on online course learning. [J]. Chinese Journal of Medical Education Research 23(1):43-50(2024) DOI: 10.3760/cma.j.cn116021-20220805-01566.
Comparison of sensory learning style distribution of naval officers and soldiers with different personality characteristics based on online course learning
Taking naval officers and soldiers who participate in military continuing education as an example
to compare the distribution of sensory learning style of learners with different personality in order to provide suggestions and references for online course teaching.
Methods
2
By using convenient sampling method
MBTI (Myers-Briggs Type Indicator) and VARK (Visual
Aural
Read/Write
Kinesthetic questionnaire) were measured in the Navy. A total of 10 000 questionnaires were distributed and 8 124 valid ones were collected. Through analysis of SPSS 25.0 software
the personality dimensions and personality types were analyzed for personality analysis
and the main indicators of sensory learning style analysis were tendency multiplicity
the intensity and distribution of single sensory learning style
and specific sensory learning styles. The Chi-square test was adopted
with test level of
α
=0.05.
Results
2
It showed statistical differences in the tendency multiplicity and intensity of single style among officers and soldiers in the three dimensions of extroversion-introversion
sensing-intuition and judging-perception (
χ
2
=12.37
18.02
22.97
12.57
12.73
24.45
P
=0.005
<
0.001
<
0.001
=0.006
=0.005
<
0.001). It showed statistical differences in the distribution of single style and the specific sensory learning styles among officers and soldiers in all the four dimensions of extroversion-introversion
sensing-intuition
thinking-feeling
and judging-perception (
χ
2
=28.30
36.96
11.40
41.95
53.76
75.48
43.11
77.29
P
<
0.001
<
0.001
=0.022
<
0.001
<
0.001
<
0.001
<
0.001
<
0.001). It showed statistical differences in the tendency multiplicity
the intensity and distribution of single style
and the specific sensory learning styles among naval officers and soldiers with different personality types (
χ
2
=86.63
96.22
147.41
363.76
all
P
<
0.001).
Conclusions
2
Personality dimension has influence on sensory learning style
especially for extroversion-introversion
sensing-intuition
and judging-perception dimensions. Personality type has an important influence on the tendency multiplicity
distribution type and performance intensity of sensory learning style. It is integral part of online course teaching to meet the diversified and personalized learning needs of officers and soldiers.
Chapman SA, Goodman S, Jawitz J, et al. A strategy for monitoring and evaluating massive open online courses [J]. Eval Program Plan, 2016, 57: 55-63. DOI: 10.1016/j.evalprogplan.2016.04.006http://dx.doi.org/10.1016/j.evalprogplan.2016.04.006.