Construction and application of a blended teaching model based on a knowledge graph for the Gerontological Nursing course
Digital Intelligence Nursing Education Column|更新时间:2026-06-17
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Construction and application of a blended teaching model based on a knowledge graph for the Gerontological Nursing course
Chinese Journal of Medical Education ResearchVol. 25, Issue 5, Pages: 535-542(2026)
作者机构:
1.哈尔滨医科大学大庆校区,大庆 163319
2.大庆市中医医院神经外科,大庆 163311
3.黑龙江超星信息技术有限公司,哈尔滨 150028
作者简介:
Guan Qing, Email: 306017232@qq.com
基金信息:
General Project of Teaching Reform and Research in Higher Education of Heilongjiang Province(SJGYB2024268);Medical Education Research Project of the Medical Education Branch of the Chinese Medical Association(2020B-N11225);Philosophy and Social Science Youth Project in Heilongjiang Province(21RKC212);Planned Project for Educational Science of Heilongjiang Province(GJB1421281)
Meng Lina, Bai Haixin, Lü Yumei, et al. Construction and application of a blended teaching model based on a knowledge graph for the Gerontological Nursing course[J]. Chinese Journal of Medical Education Research, 2026, 25(5): 535-542. DOI: 10.3760/cma.j.cn116021-20251128-02254.
Meng Lina, Bai Haixin, Lü Yumei, et al. Construction and application of a blended teaching model based on a knowledge graph for the Gerontological Nursing course[J]. Chinese Journal of Medical Education Research, 2026, 25(5): 535-542. DOI: 10.3760/cma.j.cn116021-20251128-02254.DOI:
Construction and application of a blended teaching model based on a knowledge graph for the Gerontological Nursing course
To construct a blended teaching model based on a knowledge graph for the
Gerontological Nursing
course and verify its application effectiveness.
Methods
2
Using a non-randomized grouping method
102 undergraduate nursing students enrolled in 2023 were assigned to the experimental group. Guided by the interactive
constructive
active
passive (ICAP) framework for learning engagement
this group received blended teaching based on a knowledge graph via the Xueyin Online platform (Chaoxing). The 110 students enrolled in 2022 served as the control group and received traditional teaching. After the course
the two groups were compared for course scores and learning attitudes
and teaching satisfaction was assessed for the experimental group. SPSS 27.0 was used for descriptive statistics of continuous and categorical data. Independent samples
t
-tests were used to compare academic performance and learning attitudes between the two groups.
Results
2
The experimental group achieved significantly higher theoretical score (80.76±8.61)
project score (84.17±11.03)
formative assessment score (17.04±1.60)
and total score (82.33±6.15) than those of the control group (76.98±8.84
77.23±10.80
14.91±2.19
and 76.54±5.11)
and all differences were statistically significant (
P
<
0.05). Additionally
the experimental group demonstrated significantly better classroom participation (62.49±6.63) and deep learning level (69.54±12.06) than those of the control group (56.65±10.40 and 60.66±9.41)
and both differences were statistically significant (
P
<
0.05). Moreover
92.16% of students in the experimental group expressed sat
isfaction with the knowledge graph-based blended teaching.
Conclusions
2
The knowledge graph-based blended teaching model effectively enhanced the teaching outcomes of the
Wu Z , Jia F . Construction and application of a major-specific knowledge graph based on big data in education [J ] . Int J Emerg Technol Learn , 2022 , 17 ( 7 ): 64 - 79 . DOI: 10.3991/ijet.v17i07.30405 http://dx.doi.org/10.3991/ijet.v17i07.30405 .
Liu F , Shen M , Shen Y , et al . Clicking one dot opens a whole new world: a qualitative study on using knowledge graphs in surgical nursing education [J ] . BMC Med Educ , 2025 , 25 ( 1 ): 1615 . DOI: 10.1186/s12909-025-08226-z http://dx.doi.org/10.1186/s12909-025-08226-z .
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