Opening Knowledge Graph Model Building of Artificial Intelligence Curriculum

被引:1
作者
Yue H. [1 ]
Lin H. [2 ,3 ]
Jin Y. [4 ]
Zhang H. [1 ]
Cai K. [5 ]
机构
[1] Guangdong University of Education, Guangzhou
[2] Guangdong University of Finance and Economics, Guangzhou
[3] South China Normal University, Guangzhou
[4] Guangzhou Panyu Polytechnic, Guangzhou
[5] Zhongkai University of Agriculture and Engineering, Guangzhou
关键词
artificial intelligence; educational informationization; KG of curriculums; university education;
D O I
10.3991/ijet.v17i14.32613
中图分类号
学科分类号
摘要
The knowledge points setting of artificial intelligence curriculum has shortcomings in connection between theory and practices. To overcome the problem, this study designs an open knowledge point design model based on knowledge graph. Fist, to promote the construction of the knowledge graph (KG) of curriculums, associated teaching research was analyzed visually. Then the order and hierarchical structure of the knowledge points were defined, and the ontology structure of curriculum knowledge and the relationship between knowledge points and posts were designed as well. Moreover, an overall logic structure for the construction of the open KG of curriculums was proposed. Results demonstrated that high attention should be paid to the construction and concern of teaching teams for artificial intelligence algorithms and the KG of curriculum construction. Additionally, the opening model can strengthen the openness of the KG of curriculums to reinforce the close connections between classroom knowledge and practices. Research conclusions are conducive to understand the existing problems in the KG of curriculums and provide beneficial references to the integration of information technology and education. © 2022. All Rights Reserved.
引用
收藏
页码:64 / 77
页数:13
相关论文
共 50 条
  • [31] THE EFFECT OF ARTIFICIAL INTELLIGENCE ON THE SALES GRAPH IN INDIAN MARKET
    Ullal, Mithun S.
    Hawaldar, Iqbal Thonse
    Mendon, Suhan
    Joseph, Nympha
    ENTREPRENEURSHIP AND SUSTAINABILITY ISSUES, 2020, 7 (04): : 2940 - 2954
  • [32] Knowledge and Information in the Context of Natural and Artificial Intelligence
    Maksimov, N. V.
    SCIENTIFIC AND TECHNICAL INFORMATION PROCESSING, 2024, 51 (01) : 1 - 14
  • [33] Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis
    Zavrsnik, Jernej
    Kokol, Peter
    Zlahtic, Bojan
    Vosner, Helena Blazun
    ELECTRONICS, 2024, 13 (03)
  • [34] Knowledge management and its link to artificial intelligence
    Liebowitz, J
    EXPERT SYSTEMS WITH APPLICATIONS, 2001, 20 (01) : 1 - 6
  • [35] Artificial intelligence: a new field of knowledge for nephrologists?
    Fayos De Arizon, Leonor
    Viera, Elizabeth R.
    Pilco, Melissa
    Perera, Alexandre
    De Maeztu, Gabriel
    Nicolau, Anna
    Furlano, Monica
    Torra, Roser
    CLINICAL KIDNEY JOURNAL, 2023, 16 (12) : 2314 - 2326
  • [36] Artificial Intelligence, Knowledge Management and Human Vulnerability
    Kingston, John
    PROCEEDINGS OF THE EUROPEAN CONFERENCE ON THE IMPACT OF ARTIFICIAL INTELLIGENCE AND ROBOTICS (ECIAIR 2019), 2019, : 198 - 204
  • [37] Two artificial intelligence models underperform on examinations in a veterinary curriculum
    Coleman, Michelle C.
    Moore, James N.
    JAVMA-JOURNAL OF THE AMERICAN VETERINARY MEDICAL ASSOCIATION, 2024, 262 (05): : 692 - 697
  • [38] Opening the "Black Box" of Artificial Intelligence for Detecting Heart Failure
    Mastoris, Ioannis
    Sauer, Andrew J.
    ASAIO JOURNAL, 2021, 67 (03) : 322 - 323
  • [39] INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS
    Zhang, Weili
    Zhang, Renlian
    Ji, Hongjie
    Severin, Anja
    Li, Zhaojun
    FRONTIERS OF AGRICULTURAL SCIENCE AND ENGINEERING, 2023, 10 (04) : 648 - 653
  • [40] Knowledge Geometry in Phenomenon Perception and Artificial Intelligence
    Lopes de Oliveira, Joao Gabriel
    Menezes Costa, Pedro Moreira
    de Mello, Flavio Luis
    JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2020, 26 (05) : 604 - 623