收稿日期: 2024-07-04
网络出版日期: 2024-09-23
基金资助
香港裘槎基金会访问学者项目
Study on the influence of a knowledge graph-based learning system design on online learning results
Received date: 2024-07-04
Online published: 2024-09-23
从建构主义和能力本位理论出发, 提出了一种基于知识图谱的在线学习系统设计方法, 即打破传统的知识结构, 以提升能力为目标, 构建知识、技能等多维度的能力框架; 搭建了以知识图谱为底层逻辑, 链接数字学习资源的学习系统; 开展了教学实践和实证研究. 首先, 使用调查问卷对学习系统进行了验证; 其次, 以“阅读英文学术论文”能力为学习任务, 随机分配实验组和对照组; 最后, 评估两组对于知识、技能的理解、记忆水平以及综合运用能力. 研究结果显示, 学习系统的有效性和易用性实验组总成绩、知识得分、技能得分和能力得分均高于对照组成绩, 其中总成绩和能力得分具有显著性差异, 表明该系统对于在线学习效果有一定的促进作用.
曲克晨 , 李锦昌 , 黄德铭 , 宋佳 . 基于知识图谱的学习系统设计对在线学习效果的影响研究[J]. 华东师范大学学报(自然科学版), 2024 , 2024(5) : 70 -80 . DOI: 10.3969/j.issn.1000-5641.2024.05.007
Drawing on constructivism and competency-based theory, this paper proposes an online learning system design method based on a knowledge graph, which breaks the traditional knowledge structure and builds a multi-dimensional competence framework of knowledge and skills with the goal of improving competence. A learning system with a knowledge graph as the underlying logic and linked digital learning resources was built. Teaching practice and empirical research were then carried out. First, the learning system was verified with a questionnaire. Second, taking the ability to “read English academic papers” as the learning task, experimental and control groups were created to evaluate the understanding of knowledge and skills, memory level, and comprehensive application ability of the participants. The results showed that the effectiveness and usability of the learning system were higher in the experimental group than in the control group in terms of total, knowledge, skill, and ability scores. Among these, total and ability scores showed significant differences, indicating that the system played a role in promoting the effect of online learning.
1 | 中国政府网. 习近平主持中央政治局第五次集体学习并发表重要讲话 [EB/OL]. (2023-05-29)[2024-03-12]. https://www.gov.cn/yaowen/liebiao/202305/content_6883632.htm. |
2 | 中华人民共和国教育部网站. 教育部: 中国将学习型社会建设作为国家重要战略 [EB/OL]. (2024-01-31)[2024-03-12]. http://www.moe.gov.cn/jyb_xwfb/xw_zt/moe_357/2024/2024_zt02/mtbd/202401/t20240131_1113625.html. |
3 | HUANG X L.. Study of personalized e-learning system based on knowledge structural graph. Procedia Engineering, 2011, (15): 3366- 3370. |
4 | 范佳荣, 钟绍春.. 学科知识图谱研究: 由知识学习走向思维发展. 电化教育研究, 2022, (1): 32- 38. |
5 | 徐国庆.. 能力本位课程模式的当代意义与发展. 职教论坛, 2022, (1): 57- 64. |
6 | HAO X, JI Z, LI X, et al.. Construction and application of a knowledge graph. Remote Sens, 2021, (13): 11- 25. |
7 | 杨开城.. 论课程的易理解性与知识建模技术. 电化教育研究, 2011, (6): 10- 14. |
8 | CHEN P, LU Y, ZHENG V W, et al.. KnowEdu: A system to construct knowledge graph for education. Digital Object Identifier, 2018, (6): 31554- 31563. |
9 | MANRIQUE R, PEREIRA B, MARI?O O.. Exploring knowledge graphs for the identification of concept prerequisites. Smart Learning Environments, 2019, (6): 10- 21. |
10 | 李艳燕, 张香玲, 李新, 等.. 面向智慧教育的学科知识图谱构建与创新应用. 电化教育研究, 2019, 40 (8): 60- 69. |
11 | 余燕芳, 夏亮亮, 李翼鸿, 等.. 基于知识图谱和大语言模型的终身学习资源库供给生态构建研究. 远程教育杂志, 2024, 42 (1): 104- 112. |
12 | YANG X.. Automatic recommendation system of college English teaching videos based on students’ personalized demands. International Journal of Emerging Technologies in Learning, 2021, 21, 42- 57. |
13 | 李振, 周东岱.. 教育知识图谱的概念模型与构建方法研究. 电化教育研究, 2019, (8): 78- 86. |
14 | 刘泽京, 邬楠, 黄抚群, 等.. 基于知识图谱与协同过滤混合策略的在线编程评测系统题目推荐模型. 计算机科学, 2023, 50 (2): 106- 114. |
15 | VAN LAAR E, VAN DEURSEN A J A M, VAN DIJK A G M, et al.. The relation between 21st-century skills and digital skills: A systematic literature review. Computers in Human Behavior, 2017, 72, 577- 588. |
16 | 卢晓东, 黎维君.. 日本未来技术学院探索: 重混、领域、个人专业与能力本位. 中国高教研究, 2022, (4): 29- 36. |
17 | 钟绍春, 钟卓, 张琢.. 如何构建智慧课堂. 电化教育研究, 2020, 41 (10): 15- 21. |
18 | 宋乐.. 能力本位教育视阈下我国职业教育育人模式探讨. 中国职业技术教育, 2019, (31): 71- 75. |
19 | Europe Union. Description of the eight EQF levels [EB/OL]. (2023-03-22)[2024-03-12]. https://europa.eu/europass/en/description-eight-eqf-levels. |
20 | PIAGET J. Science of Education and the Psychology of the Child [M]. New York: Orion Press, 1970. |
21 | FOSNOT C T. Constructivism: Theory, Perspectives, and Practice [M]. 2nd ed. New York: Teachers College Press, 2013. |
22 | BROWN M. Competency Based Education and Training [M]. London, UK: Falmer Press, 1994. |
23 | GUNCHIGLIA F, DUTTA B, MALTESE V. Faceted lightweight ontologies [M]// BORGIDA A T, CHAUDHRI V K, GIORGINI P, et al. Conceptual Modeling: Foundations and Applications. Berlin: Springer, 2009. |
24 | XU C, YANG M, LI C, et al. Imagine, reason and write: Visual storytelling with graph knowledge and relational reasoning [C]// Proceedings of the AAAI Conference on Artificial Intelligence. 2021: 3022-3029. |
25 | YANG Z, WANG Y, JIAN H G, et al.. Design and research of intelligent question-answering (Q&A) system based on high school course knowledge graph. Mobile Networks and Applications, 2021, (5): 1884- 1890. |
26 | YANG X, TAN l P.. The construction of accurate recommendation model of learning resources of knowledge graph under deep learning. Scientific Programming, 2022, (1): 1010122. |
27 | SPADY W.. Choosing outcomes of significance. Educational Leadership, 1994, (3): 19- 22. |
/
〈 |
|
〉 |