Welcome to Francis Academic Press

Frontiers in Educational Research, 2023, 6(6); doi: 10.25236/FER.2023.060624.

An Adaptive Learning Method Based on Knowledge Graph

Author(s)

Shanwen Zhang, Xuqi Wang, Yahong Ma, Dengwu Wang

Corresponding Author:
Shanwen Zhang
Affiliation(s)

School of Electronic Information, Xijing University, Xijing, 710123, China

Abstract

Massive learning resources make online learners in the dilemma of "knowledge maze", while manual planning of learning paths is inefficient and difficult to meet the personalized needs of learners. Targeted personalized service, propose an adaptive learning method based on KG(knowledge graph), build a student model and adaptive learning platform based on KG by using education big data, cloud computing and a new generation of artificial intelligence technology, and transform theoretical content into practical applications, so as to help teachers timely master the rhythm and focus of teaching, improve teaching methods, optimize teaching quality, and achieve precision education, differentiated teaching, personalized learning A new teaching system with intelligent services. This method can provide some theoretical support for educational applications such as precision teaching, intelligent learning diagnosis, and efficient education resource organization in the adaptive learning system.

Keywords

KG; Adaptive learning; Differentiated teaching; Personalized learning

Cite This Paper

Shanwen Zhang, Xuqi Wang, Yahong Ma, Dengwu Wang. An Adaptive Learning Method Based on Knowledge Graph. Frontiers in Educational Research (2023) Vol. 6, Issue 6: 112-115. https://doi.org/10.25236/FER.2023.060624.

References

[1] Cristobal Romero, Sebastian Ventura,Amelia Zafra, et al. Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems [J].Computers & education. 2009, 53(3): 828-840.

[2] ChunHsiung Lee, Gwo-Guang Lee, Yungho Leu. Application of automatically constructed concept map of learning to conceptual diagnosis of e-learning [J].Expert Systems with Applications. 2009, 36(Part 1): 1675-1684.

[3] Yaojung Yang, Chuni Wu. An attribute-based ant colony system for adaptive learning object recommendation [J]. Expert Systems with Applications.2009, 36(Part 2):3034-3047. DOI: 10. 1016/ j. eswa. 2008.01.066.

[4] Xia H. Research on Innovation of Ideological and Political Teaching Mode for Chemical Engineering Courses Based on Big Data Technology[J]. Journal of Physics, 2021, 1852(3):032001. DOI: 10.1088/1742-6596/1852/3/032001

[5] Zhou J. Ideological and Political Teaching Reform of Computer Network Course Based on Thinking Innovation[J]. Journal of Physics, 2020, 1648(4):042112. DOI: 10.1088/1742-6596/ 1648/ 4/ 042112.

[6] Jianxiang Lin. Epistemological Problems of Artificial Intelligence and Intelligent Teaching Expert System [J]. Research on Teacher Education, 1990, 0 (3): 44-49.

[7] Li Zhen, Zhou Dongdai, Wang Yong The map of educational knowledge in the perspective of "AI+": connotation, technical framework and application research [J]. Journal of Distance Education, 2019, 37 (4): 42-53.

[8] Shi D, Wang T, Xing H, et al. A learning path recommendation model based on a multidimensional knowledge graph framework for e-learning [J]. Knowledge-Based Systems, 2020, 195:105618. DOI: 10.1016/j.knosys. 2020.105618.

[9] Sun Hongxu. Research and Implementation of Adaptive Learning System Based on Knowledge Graph [D]. Master's Thesis of Shandong Normal University, 2020.

[10] Li Wan. Research and Practice of Adaptive Learning Path Generation Technology Based on Knowledge Graph [D]. Master's Thesis of Beijing University of Posts and Telecommunications, 2020.

[11] Gao Jiaqi, Liu Qianhui, Huang Wenbin. Research on automatic generation of learning path based on knowledge map [J]. Modern Educational Technology, 2021,31 (7): 88-96.

[12] Zhu Haiping, Tian Feng, Wu Ke, et al. A multi-constraint learning path recommendation algorithm based on knowledge map [J]. Knowledge-Based Systems. 2018.143102-114. DOI: 10. 1016/ j. knosys, 2017.12.011.

[13] Huang Xiangjun, Zhang Chao, Zheng Qinghua. Generating Personalized Navigation Learning Path Based on Knowledge Map [J]. International journal of technology and educational marketing. 2014, 4(2).1-17.