XMDD as key enabling technology for integration of large scale elearning based on NRENs

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

Abstract

National Research and Education Networks (NRENs) are developed to provide access and collaboration between educational organizations. Single-Sign-On (SSO) applications such as eduGAIN are used in the pan European research and education network (GÉANT) and Shibboleth is used in the Internet2 NRENs in the United States. However, the lack of data integration between many eLearning systems is still a challenge in the NREN domain. We address systematic data integration between large-scale eLearning systems by designing and prototyping an eLearning broker. The NREN eLearning architecture considers the strategies and policies of collaboration parties. We apply the eXtreme Model-Driven Development (XMDD) paradigm, using the DIME low-code development environment for data modeling, process modeling, interface modeling and prototyping. The motivating case study is the Afghanistan Research and Educational Network (AfgREN).

Original languageEnglish
Title of host publicationProceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020
EditorsMaiga Chang, Demetrios G Sampson, Ronghuai Huang, Danial Hooshyar, Nian-Shing Chen, Kinshuk Kinshuk, Margus Pedaste
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages45-46
Number of pages2
ISBN (Electronic)9781728160900
DOIs
Publication statusPublished - Jul 2020
Event20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020 - Virtual, Online, Estonia
Duration: 6 Jul 20209 Jul 2020

Publication series

NameProceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020

Conference

Conference20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020
Country/TerritoryEstonia
CityVirtual, Online
Period6/07/209/07/20

Keywords

  • AfgREN
  • DIME
  • Integration
  • NREN
  • XMDD

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