RALO: Accessible Learning Objects Assessment Ecosystem Based on Metadata Analysis, Inter-Rater Agreement, and Borda Voting Schemes-Reference-Cited by-同舟云学术

RALO: Accessible Learning Objects Assessment Ecosystem Based on Metadata Analysis, Inter-Rater Agreement, and Borda Voting Schemes

Published:2023 Issue: Volume:11 Page:8223-8239
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ingavelez-Guerra Paola¹^ORCID,Robles-Bykbaev Vladimir E.¹^ORCID,Perez-Munoz Angel¹^ORCID,Hilera-Gonzalez Jose²^ORCID,Oton-Tortosa Salvador²^ORCID,Campo-Montalvo Elena²^ORCID

Affiliation:

1. GI-IATa, UNESCO Chair on Support Technologies for Educational Inclusion, Universidad Politécnica Salesiana, Cuenca, Ecuador

2. Department of Computer Science, University of Alcalá, Alcala, Spain

Funder

Erasmus+ Programmer of the European Union, Project EduTech

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10007848.pdf?arnumber=10007848

Reference30 articles.

1. Model for Profiling Users With Disabilities on e-Learning Platforms

2. A proposal based on knowledge modeling and ontologies to support the accessibility evaluation process of learning objects

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