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

Salim Saay; Tiziana Margaria

doi:10.1109/ICALT49669.2020.00020

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020
Editors	Maiga Chang, Demetrios G Sampson, Ronghuai Huang, Danial Hooshyar, Nian-Shing Chen, Kinshuk Kinshuk, Margus Pedaste
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	45-46
Number of pages	2
ISBN (Electronic)	9781728160900
DOIs	https://doi.org/10.1109/ICALT49669.2020.00020
Publication status	Published - Jul 2020
Event	20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020 - Virtual, Online, Estonia Duration: 6 Jul 2020 → 9 Jul 2020

Publication series

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

Conference

Conference	20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020
Country/Territory	Estonia
City	Virtual, Online
Period	6/07/20 → 9/07/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Keywords

AfgREN
DIME
Integration
NREN
XMDD

Access to Document

10.1109/ICALT49669.2020.00020

Cite this

Saay, S., & Margaria, T. (2020). XMDD as key enabling technology for integration of large scale elearning based on NRENs. In M. Chang, D. G. Sampson, R. Huang, D. Hooshyar, N.-S. Chen, K. Kinshuk, & M. Pedaste (Eds.), Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020 (pp. 45-46). Article 9156062 (Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICALT49669.2020.00020

Saay, Salim ; Margaria, Tiziana. / XMDD as key enabling technology for integration of large scale elearning based on NRENs. Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020. editor / Maiga Chang ; Demetrios G Sampson ; Ronghuai Huang ; Danial Hooshyar ; Nian-Shing Chen ; Kinshuk Kinshuk ; Margus Pedaste. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 45-46 (Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020).

@inproceedings{60c470d7b1ed4f9a85ffb4348863a126,

title = "XMDD as key enabling technology for integration of large scale elearning based on NRENs",

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 (G{\'E}ANT) 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).",

keywords = "AfgREN, DIME, Integration, NREN, XMDD",

author = "Salim Saay and Tiziana Margaria",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020 ; Conference date: 06-07-2020 Through 09-07-2020",

year = "2020",

month = jul,

doi = "10.1109/ICALT49669.2020.00020",

language = "English",

series = "Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "45--46",

editor = "Maiga Chang and Sampson, \{Demetrios G\} and Ronghuai Huang and Danial Hooshyar and Nian-Shing Chen and Kinshuk Kinshuk and Margus Pedaste",

booktitle = "Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020",

}

Saay, S & Margaria, T 2020, XMDD as key enabling technology for integration of large scale elearning based on NRENs. in M Chang, DG Sampson, R Huang, D Hooshyar, N-S Chen, K Kinshuk & M Pedaste (eds), Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020., 9156062, Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020, Institute of Electrical and Electronics Engineers Inc., pp. 45-46, 20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020, Virtual, Online, Estonia, 6/07/20. https://doi.org/10.1109/ICALT49669.2020.00020

XMDD as key enabling technology for integration of large scale elearning based on NRENs. / Saay, Salim ; Margaria, Tiziana.
Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020. ed. / Maiga Chang; Demetrios G Sampson; Ronghuai Huang; Danial Hooshyar; Nian-Shing Chen; Kinshuk Kinshuk; Margus Pedaste. Institute of Electrical and Electronics Engineers Inc., 2020. p. 45-46 9156062 (Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - XMDD as key enabling technology for integration of large scale elearning based on NRENs

AU - Saay, Salim

AU - Margaria, Tiziana

PY - 2020/7

Y1 - 2020/7

N2 - 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).

AB - 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).

KW - AfgREN

KW - DIME

KW - Integration

KW - NREN

KW - XMDD

UR - https://www.scopus.com/pages/publications/85091179894

U2 - 10.1109/ICALT49669.2020.00020

DO - 10.1109/ICALT49669.2020.00020

M3 - Conference contribution

AN - SCOPUS:85091179894

T3 - Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020

SP - 45

EP - 46

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

A2 - Chang, Maiga

A2 - Sampson, Demetrios G

A2 - Huang, Ronghuai

A2 - Hooshyar, Danial

A2 - Chen, Nian-Shing

A2 - Kinshuk, Kinshuk

A2 - Pedaste, Margus

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020

Y2 - 6 July 2020 through 9 July 2020

ER -

Saay S , Margaria T. XMDD as key enabling technology for integration of large scale elearning based on NRENs. In Chang M, Sampson DG, Huang R, Hooshyar D, Chen NS, Kinshuk K, Pedaste M, editors, Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 45-46. 9156062. (Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020). doi: 10.1109/ICALT49669.2020.00020

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this