Learning analytics and data-driven education: A growing field

被引:5
|
作者
Dominguez Figaredo, Daniel [1 ]
Reich, Justin [2 ]
Ruiperez-Valiente, Jose A. [3 ]
机构
[1] Univ Nacl Educ Distancia, UNED, Madrid, Spain
[2] MIT, Cambridge, MA 02139 USA
[3] Univ Murcia, UMU, Murcia, Spain
关键词
learning analytics; educational technology; data-based education; data science; educational science; educational research;
D O I
10.5944/ried.23.2.27105
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The growing presence of digital mediation systems in most educational spaces -whether face-to-face or not, formalized or open, and at basic or lifelong learning levels- has accelerated the advance of learning analytics and the use of data in education as a common practice. Using digital educational tools facilitates the interaction between students, teachers and learning resources in the digital world, and generates a remarkable volume of data that can be analyzed by applying a variety of methodologies. Thus, research focused on information generated by student activity in digital spaces has risen exponentially. Based on this evidence, this special issue shows a set of studies in the field of data-driven educational research and the field of digital learning, which enriches knowledge about learning processes and management of teaching in digitally mediated spaces.
引用
收藏
页码:33 / 43
页数:11
相关论文
共 50 条
  • [21] Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches
    Fan, Cheng
    Yan, Da
    Xiao, Fu
    Li, Ao
    An, Jingjing
    Kang, Xuyuan
    [J]. BUILDING SIMULATION, 2021, 14 (01) : 3 - 24
  • [22] Data-driven education research
    Cooper, Melanie M.
    [J]. SCIENCE, 2007, 317 (5842) : 1171 - 1171
  • [23] Teachers' Perception of Data-Driven School Ecosystem and Data Analytics
    Starcic, Andreja Istenic
    Vukan, Milena
    [J]. 2019 10TH INTERNATIONAL CONFERENCE ON E-EDUCATION, E-BUSINESS, E-MANAGEMENT AND E-LEARNING (IC4E 2019), 2019, : 245 - 249
  • [24] Data-Driven Law: Data Analytics and the New Legal Services
    Ross, Eve
    [J]. LAW LIBRARY JOURNAL, 2019, 111 (02): : 275 - 276
  • [25] Full field reservoir modeling of shale assets using advanced data-driven analytics
    Soodabeh Esmaili
    Shahab DMohaghegh
    [J]. Geoscience Frontiers., 2016, 7 (01) - 20
  • [26] Full field reservoir modeling of shale assets using advanced data-driven analytics
    Esmaili, Soodabeh
    Mohaghegh, Shahab D.
    [J]. GEOSCIENCE FRONTIERS, 2016, 7 (01) : 11 - 20
  • [27] A Data-Driven Framework for Business Analytics in the Context of Big Data
    Lu, Jing
    [J]. NEW TRENDS IN DATABASES AND INFORMATION SYSTEMS, ADBIS 2018, 2018, 909 : 339 - 351
  • [28] Full field reservoir modeling of shale assets using advanced data-driven analytics
    Soodabeh Esmaili
    Shahab D.Mohaghegh
    [J]. Geoscience Frontiers, 2016, (01) : 11 - 20
  • [29] AN APPROACH TO DATA-DRIVEN LEARNING
    MARKOV, Z
    [J]. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 1991, 535 : 127 - 140
  • [30] Metacognition and Data-Driven Learning
    Sato, Masatoshi
    [J]. TESOL QUARTERLY, 2024, 58 (03) : 1246 - 1255