Designing a reference model for learning analytics interoperability

Jae Hyeong Bae, Yong Sang Cho, Jaeho Lee

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

2 Scopus citations

Abstract

The application of the learning analytics should overcome the challenge of effective integration of various information and processes into a unified framework to support the development of an open and extensible learning analytics systems. Based on our preliminary identification of the requirements for the learning analytics systems, we present a refined reference model that fulfills these requirements and provide a guideline for effective integration toward the goal of producing an explicit specification of the learning analytics architecture. We elaborate the comprehensive architecture with detailed descriptions, and then we discuss the experimental implementation of the reference model.

Original languageEnglish
Title of host publicationWorkshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015
EditorsYing-Tien Wu, Tomoko Kojiri, Siu Cheung Kong, Feiyue Qiu, Hiroaki Ogata, Thepchai Supnithi, Yonggu Wang, Weiqin Chen
PublisherAsia-Pacific Society for Computers in Education
Pages438-447
Number of pages10
ISBN (Electronic)9784990801472
StatePublished - 2015
Event23rd International Conference on Computers in Education, ICCE 2015 - Hangzhou, China
Duration: 30 Nov 20154 Dec 2015

Publication series

NameWorkshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015

Conference

Conference23rd International Conference on Computers in Education, ICCE 2015
Country/TerritoryChina
CityHangzhou
Period30/11/154/12/15

Keywords

  • Learning analytics
  • Reference model
  • Software reference architecture

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