Using IoT technology to improve online education through data mining

Alexander Muriuki Njeru, Mwana Said Omar, Sun Yi, Samiullah Paracha, Muhammad Wannous

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

19 Citations (Scopus)

Abstract

Online learning is rapidly expanding in both the number of programs and users. Concerns are arising on how to improve the quality of materials and delivery methods.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE International Conference on Applied System Innovation
Subtitle of host publicationApplied System Innovation for Modern Technology, ICASI 2017
EditorsTeen-Hang Meen, Artde Donald Kin-Tak Lam, Stephen D. Prior
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages515-518
Number of pages4
ISBN (Electronic)9781509048977
DOIs
Publication statusPublished - 21 Jul 2017
Externally publishedYes
Event2017 IEEE International Conference on Applied System Innovation, ICASI 2017 - Sapporo, Japan
Duration: 13 May 201717 May 2017

Publication series

NameProceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017

Conference

Conference2017 IEEE International Conference on Applied System Innovation, ICASI 2017
Country/TerritoryJapan
CitySapporo
Period13/05/1717/05/17

Keywords

  • Data Mining
  • Data-driven decision making
  • ELearning
  • IoTs
  • Learning analytics
  • Online Learning Platform

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