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Interconnecting and Enriching Higher Education Programs using Linked Data

Author:

Fouad ZablithAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 711 - 716

https://doi.org/10.1145/2740908.2741740

Published: 18 May 2015 Publication History

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Abstract

Online environments are increasingly used as platforms to support and enhance learning experiences. In higher education, students enroll in programs that are usually formed of a set of courses and modules. Such courses are designed to cover a set of concepts and achieve specific learning objectives that count towards the related degree. However we observe that connections among courses and the way they conceptually interlink are hard to exploit. This is normal as courses are traditionally described using text in the form of documents such as syllabi and course catalogs. We believe that linked data can be used to create a conceptual layer around higher education programs to interlink courses in a granular and reusable manner. We present in this paper our work on creating a semantic linked data layer to conceptually connect courses taught in a higher education program. We highlight the linked data model we created to be collaboratively extended by course instructors and students using a semantic Mediawiki platform. We also present two applications that we built on top of the data to (1) showcase how learning material can now float around courses through their interlinked concepts in eLearning environments (we use moodle as a proof of concept); and (2) to support the process of higher education program reviews.

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Cited By

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Matas-Terrón ALeiva-Olivencia JNegro-Martínez C(2020)Tendency to Use Big Data in Education Based on Its Opportunities According to Andalusian Education StudentsSocial Sciences10.3390/socsci90901649:9(164)Online publication date: 21-Sep-2020
https://doi.org/10.3390/socsci9090164
Nahhas SBamasag OKhemakhem MBajnaid N(2018)Added Values of Linked Data in Education: A Survey and RoadmapComputers10.3390/computers70300457:3(45)Online publication date: 1-Sep-2018
https://doi.org/10.3390/computers7030045
Volchek DRomanov AMouromtsev D(2017)Towards the Semantic MOOC: Extracting, Enriching and Interlinking E-Learning Data in Open edX PlatformKnowledge Engineering and Semantic Web10.1007/978-3-319-69548-8_20(295-305)Online publication date: 18-Oct-2017
https://doi.org/10.1007/978-3-319-69548-8_20
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Index Terms

Interconnecting and Enriching Higher Education Programs using Linked Data
1. Applied computing
  1. Enterprise computing
2. Mathematics of computing
  1. Discrete mathematics
    1. Graph theory

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Published In

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

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Published: 18 May 2015

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University Research Board grant at the American University of Beirut

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WWW '15

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IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Matas-Terrón ALeiva-Olivencia JNegro-Martínez C(2020)Tendency to Use Big Data in Education Based on Its Opportunities According to Andalusian Education StudentsSocial Sciences10.3390/socsci90901649:9(164)Online publication date: 21-Sep-2020
https://doi.org/10.3390/socsci9090164
Nahhas SBamasag OKhemakhem MBajnaid N(2018)Added Values of Linked Data in Education: A Survey and RoadmapComputers10.3390/computers70300457:3(45)Online publication date: 1-Sep-2018
https://doi.org/10.3390/computers7030045
Volchek DRomanov AMouromtsev D(2017)Towards the Semantic MOOC: Extracting, Enriching and Interlinking E-Learning Data in Open edX PlatformKnowledge Engineering and Semantic Web10.1007/978-3-319-69548-8_20(295-305)Online publication date: 18-Oct-2017
https://doi.org/10.1007/978-3-319-69548-8_20
Lahoud IChamekh F(2017)Towards an Architecture for Universities ManagementKnowledge Engineering and Knowledge Management10.1007/978-3-319-58694-6_6(69-81)Online publication date: 20-May-2017
https://doi.org/10.1007/978-3-319-58694-6_6
Mouromtsev DRomanov AVolchek DKozlov FBourdeau JHendler JNkambou RHorrocks IZhao B(2016)Metadata Extraction from Open edX Online Courses Using Dynamic Mapping of NoSQL QueriesProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2890462(501-506)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.1145/2872518.2890462
Zablith F(2016)Towards a Linked and Reusable Conceptual Layer Around Higher Education ProgramsOpen Data for Education10.1007/978-3-319-30493-9_5(86-102)Online publication date: 19-Mar-2016
https://doi.org/10.1007/978-3-319-30493-9_5
Vasiliev VKozlov FMouromtsev DStafeev SParkhimovich O(2016)ECOLE: An Ontology-Based Open Online Course PlatformOpen Data for Education10.1007/978-3-319-30493-9_3(41-66)Online publication date: 19-Mar-2016
https://doi.org/10.1007/978-3-319-30493-9_3

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Linked education: interlinking educational resources and the Web of data

Using the relation ontology Metarel for modelling Linked Data as multi-digraphs

A domain independent framework for extracting linked semantic data from tables

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