Study on Applied Art of Educational Data Mining

被引:0
|
作者
Wu, Jiaping [1 ]
Yang, Huansong [1 ]
机构
[1] Hangzhou Normal Univ, Hangzhou, Zhejiang, Peoples R China
关键词
Education; Data mining; Applied art; Value of data;
D O I
10.5729/aer.2017.97.43
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
There are many factors influencing the value of data mining. In addition to technical factors, technician's understanding, attitude and awareness, etc. On the data mining results are also involved. In a sense, influence of understanding, attitude and awareness, etc. outdistance that of technical level on the data mining results. It can be said data mining is a collection of art and technology. Art always plays a decisive role in many fields, especially in education data mining.
引用
收藏
页码:43 / 47
页数:5
相关论文
共 50 条
  • [1] Educational Data Mining Applied to a Massive Course
    Mendes Bezerra, Luis Naito
    Silva, Marcia Terra
    INTERNATIONAL JOURNAL OF DISTANCE EDUCATION TECHNOLOGIES, 2020, 18 (04) : 17 - 30
  • [2] Educational Data Mining: A Review of the State of the Art
    Romero, Cristobal
    Ventura, Sebastian
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2010, 40 (06): : 601 - 618
  • [3] Educational Data Mining: a Case Study
    Merceron, Agathe
    Yacef, Kalina
    ARTIFICIAL INTELLIGENCE IN EDUCATION: SUPPORTING LEARNING THROUGH INTELLIGENT AND SOCIALLY INFORMED TECHNOLOGY, 2005, 125 : 467 - 474
  • [4] Data mining techniques applied in educational environments: Literature review
    Villanueva Manjarres, Andres
    Moreno Sandoval, Luis Gabriel
    Salinas Suarez, Martha Janneth
    DIGITAL EDUCATION REVIEW, 2018, (33): : 235 - 266
  • [5] A Tool for the Implementation of an Educational Data Mining Model Applied to Universities
    Novillo-Rangone, G. A.
    Montejano, G. A.
    Garis, A. G.
    Molina, W. R.
    COMMUNICATION AND APPLIED TECHNOLOGIES, ICOMTA 2022, 2023, 318 : 157 - 166
  • [6] Towards the integration of business intelligence tools applied to educational data mining
    Villegas-Ch, William
    Lujan-Mora, Sergio
    Buenano-Fernandez, Diego
    2018 IEEE WORLD ENGINEERING EDUCATION CONFERENCE (EDUNINE), 2018, : 40 - 44
  • [7] Mining educational data to predict students performance A comparative study of data mining techniques
    Nahar, Khaledun
    Shova, Boishakhe Islam
    Ria, Tahmina
    Rashid, Humayara Binte
    Islam, A. H. M. Saiful
    EDUCATION AND INFORMATION TECHNOLOGIES, 2021, 26 (05) : 6051 - 6067
  • [8] Mining educational data to predict students performanceA comparative study of data mining techniques
    Khaledun Nahar
    Boishakhe Islam Shova
    Tahmina Ria
    Humayara Binte Rashid
    A. H. M. Saiful Islam
    Education and Information Technologies, 2021, 26 : 6051 - 6067
  • [9] An Approachable Analytical Study on Big Educational Data Mining
    Aghabozorgi, Saeed
    Mahroeian, Hamidreza
    Dutt, Ashish
    Teh, Ying Wah
    Herawan, Tutut
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2014, PT V, 2014, 8583 : 721 - +
  • [10] Characterizing Educational Data Mining A Preliminary Mapping Study
    Lyra Beserra da Silva, Victor Regis
    Silva, Fabio de Albuquerque
    Buregio, Vanilson
    2019 14TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI), 2019,