Article citationsMore>>

Baker, R. S., & Inventado, P. S. (2014). Educational Data Mining and Learning Analytics. In Learning Analytics (pp. 61-75). Springer.
https://doi.org/10.1007/978-1-4614-3305-7_4

has been cited by the following article:

• TITLE: Learning Analytics in Education, Advantages and Issues: A Systematic Literature Review

  AUTHORS: Yap Sze Mian, Fariza Khalid, Alex Wong Chiew Qun, Siti Sarah Ismail

  KEYWORDS: Education, Learning Analytics, Learning Analytics in Educations, Advantages, Issues

  JOURNAL NAME: Creative Education, Vol.13 No.9, September 23, 2022

  ABSTRACT: Learning Analytics (LA) is emerging rapidly in the field of education. The purpose of this paper is to provide an overview of the advantages and issues of Learning Analytics in education. This paper reports a systematic literature review on learning analytics in educational settings. A total of 26 published papers and indexed journals collected from several databases werereviewed and analysed. Articles were coded into two categories: advantages and issues by using the NVivo 12 software. This paper identified advantages of using learning analytics in education which included teaching quality, management of educational institutions and forecasting, and prediction of risky students, while issues found inLearning Analyticswere ethical and privacy, data collection and analysis, and evaluation process.