Educational Data Mining: A Literature Review

被引：0
|
作者：
Martins, Maria P. G. [1 ,2 ]
Migueis, Vera L. [3 ]
Fonseca, D. S. B. [2 ]
机构：
[1] Inst Politecn Braganca, Escola Super Tecnol & Gestao, Braganca, Portugal
[2] Univ Beira Interior, CISE, Covilha, Portugal
[3] Univ Porto, Fac Engn, INESC TEC, Porto, Portugal
来源：
2018 13TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI) | 2018年
关键词：
educational data mining; data mining; institutional efficiency; STUDENTS; PATTERNS; DROPOUT;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the aim of disseminating the potential and the capacity of Educational Data Mining (EDM) as an instrument of investigation and analysis in the support to the management of Higher Education Institutions, this paper presents a brief description of some of the most relevant studies in the area. The analysis carried out allows to highlight the innovations that EDM has been promoting, as well as current and future research trends.
引用
收藏
页数：6
相关论文
共 50 条
  • [21] EDUCATIONAL DATA MINING STUDIES IN TURKEY: A SYSTEMATIC REVIEW
    Aydogdu, Seyhmus
    TURKISH ONLINE JOURNAL OF DISTANCE EDUCATION, 2020, 21 (03): : 170 - 185
  • [22] Review on publicly available datasets for educational data mining
    Mihaescu, Marian Cristian
    Popescu, Paul Stefan
    WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2021, 11 (03)
  • [23] Process Mining in Data Science: A Literature Review
    Ahmed, Razi
    Faizan, Muhammad
    Burney, Anwer Irshad
    2019 13TH INTERNATIONAL CONFERENCE ON MATHEMATICS, ACTUARIAL SCIENCE, COMPUTER SCIENCE AND STATISTICS (MACS-13), 2019,
  • [24] A review on data fusion in multimodal learning analytics and educational data mining
    Chango, Wilson
    Lara, Juan A.
    Cerezo, Rebeca
    Romero, Cristobal
    WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2022, 12 (04)
  • [25] A Review on Data Mining Techniques and Factors Used in Educational Data Mining to Predict Student Amelioration
    Anoopkumar, M.
    Rahman, A. M. J. Md. Zubair
    PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON DATA MINING AND ADVANCED COMPUTING (SAPIENCE), 2016, : 122 - 133
  • [26] A Systematic Review of Deep Learning Approaches to Educational Data Mining
    Hernandez-Blanco, Antonio
    Herrera-Flores, Boris
    Tomas, David
    Navarro-Colorado, Borja
    COMPLEXITY, 2019, 2019
  • [27] Educational data mining: a systematic review of research and emerging trends
    Du, Xu
    Yang, Juan
    Hung, Jui-Long
    Shelton, Brett
    INFORMATION DISCOVERY AND DELIVERY, 2020, 48 (04) : 225 - 236
  • [28] Literature Review on the Applications of Data Mining in Power Systems
    Kazerooni, Maryam
    Zhu, Hao
    Overbye, Thomas J.
    2014 IEEE POWER AND ENERGY CONFERENCE AT ILLINOIS (PECI 2014), 2014,
  • [29] Data Mining for the Internet of Things: Literature Review and Challenges
    Chen, Feng
    Deng, Pan
    Wan, Jiafu
    Zhang, Daqiang
    Vasilakos, Athanasios V.
    Rong, Xiaohui
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,
  • [30] Data mining in market segmentation: A literature review and suggestions
    Indian Institute of Technology Kharagpur, Kharagpur, India
    Adv. Intell. Sys. Comput., (87-98):
12345