Automatic Adaptation of Open Educational Resources: An Approach From a Multilevel Methodology Based on Students' Preferences, Educational Special Needs, Artificial Intelligence and Accessibility Metadata

被引:7
|
作者
Ingavelez-Guerra, Paola [1 ]
Robles-Bykbaev, Vladimir E. [1 ]
Perez-Munoz, Angel [1 ]
Hilera-Gonzalez, Jose [2 ]
Oton-Tortosa, Salvador [2 ]
机构
[1] Univ Politecn Salesiana, UNESCO Chair Support Technol Educ Inclus, GI IATa, Cuenca 010102, Ecuador
[2] Univ Alcala, Dept Comp Sci, Alcala De Henares 28805, Spain
关键词
Metadata; Electronic learning; Proposals; Artificial intelligence; Standards; ISO Standards; Training; Adaptive systems; distance learning; accessibility; metadata; artificial intelligence; MOOCS;
D O I
10.1109/ACCESS.2021.3139537
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The need for adaptive e-learning environments that respond to learning variability is now a fundamental requirement in education, as it helps to ensure that students learn and pass their courses within a set time frame. Although guidelines, techniques and methods have been established in recent years to contribute to the development of accessible and adaptable e-learning environments that promote digital inclusion, their implementation is challenging due to the lack of knowledge of an adequate way to do it and because it is considered more of a technological competence for scholars in the area. In this context, automated support for adapting material that responds to the correct use of accessibility metadata not only provides a way to improve the description of adapted educational resources, but also facilitates their search according to the needs and preferences of students, particularly those with disabilities. In this article, we carry out a multilevel methodological proposal for the automatic adaptation of open educational resources, in order to provide a tool that contributes to the accessibility and correct use of their metadata in e-learning environments. A research is conducted with students with disabilities to establish their real needs and preferences, highlighting the need to strengthen the adequate description and coherent alternative text in images, the correct subtitling in videos and the conversion of audio to text, data that are relevant to our proposal. The research conducted aims to contribute with an automated support tool in the generation of accessible educational resources that are correctly labeled for search and reuse. This research also aims to support researchers in artificial intelligence applications to address challenges and opportunities in the field of virtual education, in addition to providing an overview that could help those who generate educational resources and maintain their interest in making them accessible.
引用
收藏
页码:9703 / 9716
页数:14
相关论文
共 13 条
  • [1] Artificial intelligence in dance education: Dance for students with special educational needs
    Hu, Mengyu
    Wang, Jingyi
    TECHNOLOGY IN SOCIETY, 2021, 67
  • [2] A Study of Artificial Intelligence-Driven Educational Intervention Strategies for Students with Special Educational Needs
    Mo, Dongxia
    Mo, Bohai
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [3] Quality Prediction of Open Educational Resources A Metadata-based Approach
    Tavakoli, Mohammadreza
    Elias, Mirette
    Kismihok, Gabor
    Auer, Soeren
    2020 IEEE 20TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2020), 2020, : 29 - 31
  • [4] From Open Educational Resources to Open Educational Practices: The Community Based OER Approach of the ZHAW University Library
    Kruger, Nicole
    Luthi, Gabriela
    BIBLIOTHEK FORSCHUNG UND PRAXIS, 2023,
  • [5] Taxonomic analysis of students with special educational needs (SEN) from historico-cultural approach
    Ferras Caballero, Jose Ramon
    Perez Santos, Mayelin
    LUZ, 2010, (03):
  • [6] A knowledge-based approach to user interface adaptation from preferences and for special needs
    Claudia Loitsch
    Gerhard Weber
    Nikolaos Kaklanis
    Konstantinos Votis
    Dimitrios Tzovaras
    User Modeling and User-Adapted Interaction, 2017, 27 : 445 - 491
  • [7] A knowledge-based approach to user interface adaptation from preferences and for special needs
    Loitsch, Claudia
    Weber, Gerhard
    Kaklanis, Nikolaos
    Votis, Konstantinos
    Tzovaras, Dimitrios
    USER MODELING AND USER-ADAPTED INTERACTION, 2017, 27 (3-5) : 445 - 491
  • [8] Preliminary Findings from the Implementetion of a Rhythm based inclusive Program for Students with Special Educational Needs
    Kourkoutas, Elias
    Tragoulia, Eleni
    Georgiadi, Maria
    Papatzanis, Ioannis
    Lakiotaki, Katerina
    PROCEEDINGS OF THE 2021 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON), 2021, : 1201 - 1207
  • [9] OPEN EYES - HOW TO DESIGN INQUIRY-BASED LEARNING FOR SPECIAL EDUCATIONAL NEEDS STUDENTS IN STEM SUBJECTS
    Zafirova-Malcheva, T.
    Stefanova, E.
    Nikolova, N.
    Mihnev, P.
    Georgiev, A.
    Miteva, D.
    Stefanov, K.
    EDULEARN18: 10TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES, 2018, : 5921 - 5931
  • [10] Social Intelligence as a Factor of Socio- Psychological Adaptation of University Students with Special Educational Needs during Distance Learning due to the COVID-19
    Starynska, Olena
    Spivak, Liubov
    Osmanova, Alimie
    Revutska, Olena
    REVISTA ROMANEASCA PENTRU EDUCATIE MULTIDIMENSIONALA, 2023, 15 (01): : 441 - 462