Stakeholders' perceptions of integrating mobile devices in teaching and learning

Aisha Salim Ali Al-Harthi*, Chris Campbell, Houda Abdullah Al-Hosni

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Learning analytics and educational data mining has greatly supported the process of assessing and improving the quality of education. While learning analytics has a longer development cycle, educational data mining suffers from the inadequacy of data captured through learning processes. The data captured from examination process can be suitably extended to perform some descriptive and predictive analytics. This paper demonstrates the possibility of actionable analytics on the data collected from talent search examination process by adding to it some data pre-processing steps. The analytics provides some insight into the learner's characteristics and demonstrates how analytics on examination data can be a major support for bringing the quality in education field.

Original languageEnglish
Pages (from-to)80-98
Number of pages19
JournalInternational Journal of Mobile Learning and Organisation
Volume14
Issue number1
DOIs
Publication statusPublished - 2020
Externally publishedYes

Keywords

  • Clustering
  • EDM
  • Educational data mining
  • Learning analytics
  • Linear modelling

ASJC Scopus subject areas

  • Education
  • Computer Science Applications

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