Chinese Journal of Nursing Education >
Design and preliminary application of knowledge graph for the Introduction to Nursing course
Objective To develop and preliminarily apply a knowledge graph for the Introduction to Nursing. Methods To address the issue of integrating and constructing the knowledge system of the Introduction to Nursing,with the support of knowledge graph technology,we designed and constructed a knowledge graph for the Introduction to Nursing course. We initially applied it to the teaching of 298 undergraduate nursing students,and evaluated its effectiveness based on the total time per student spent on learning knowledge points,the degree of mastery of completed content,and course satisfaction and theoretical scores. Results The knowledge graph of the Introduction to Nursing course constructed included a total of 90 knowledge topics,covering 5 knowledge learning relationships. The total learning time per capita of 298 students was 20.8 h,84.9% of students met the standard for content mastery,90.3% of students rated the course knowledge graph as very satisfactory overall,88.6% of students rated the presentation of knowledge graph course content as very satisfactory,79.9% of students were very satisfied with the learning methods and forms of knowledge graphs. The theoretical assessment scores of students in 2022 were significantly higher than those of students in 2020(P<0.05). Conclusion The curriculum knowledge map provides strong support for the online-offline teaching model,as it facilitates the enhancement of the student-centered teaching form,assists students in building a comprehensive curriculum knowledge system,and optimizes the teaching process.
Lijuan SONG , Miao DU , Yuke CAI , Jingjing DONG , Rongfeng CHEN , Aiyong ZHU . Design and preliminary application of knowledge graph for the Introduction to Nursing course[J]. Chinese Journal of Nursing Education, 2024 , 21(8) : 950 -955 . DOI: 10.3761/j.issn.1672-9234.2024.08.009
| [1] | 吴彦文, 孙晨辉, 李斌. 知识图谱助力学科教学:以大学模拟电子技术基础课程为例[J]. 软件导刊, 2020, 19(12):195-198. |
| [2] | Chen PH, Lu Y, Zheng VW, et al. KnowEdu:a system to construct knowledge graph for education[J]. IEEE Access, 2018, 6:31553-31563. |
| [3] | 菊花, 边琦. “现代教育技术”课程领域知识图谱创建与应用[J]. 黑龙江教师发展学院学报, 2022(1):52-54. |
| [4] | 赵炬明, 高筱卉. 关于实施“以学生为中心”的本科教学改革的思考[J]. 中国高教研究, 2017(8):36-40. |
| [5] | Ji SX, Pan SR, Cambria E, et al. A survey on knowledge graphs:representation,acquisition,and applications[J]. IEEE Trans Neural Netw Learn Syst, 2022, 33(2):494-514. |
| [6] | Shi DQ, Wang T, Xing H, et al. A learning path recommenda-tion model based on a multidimensional knowledge graph framework for e-learning[J]. Knowl Based Syst, 2020, 195:105618. |
| [7] | 李双. 基于知识图谱的个性化学习路径推荐关键技术研究[D]. 南京: 东南大学, 2022. |
| [8] | 赵玲朗, 范佳荣, 赵一婷, 等. 基于知识图谱的学习者画像模型设计与应用:以“高中物理”课程为例[J]. 现代教育技术, 2021, 31(2):95-101. |
| [9] | Whitley BE, Kite ME, Adams HL. Principles of research in behavioral science[M]. 3rd ed. New York, London: Psychology Press, 2013. |
| [10] | Means B, Toyama Y, Murphy R, et al. Evaluation of evidence-based practices in online learning:a meta-analysis and review of online learning studies[EB/OL]. [2024-03-18]. https://test.webhost.csus.edu/acse/archive/0910/US_DOE_eLearning_Report_2009.pdf. |
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