Multi-label Search Model for Open Educational Resources Based on Learning Purpose

Klinge Villalba-Condori; Lushianna Tejada-Ortega; Julio Vera-Sancho; Jorge Mamani-Calcina; Cesar Vera-Vasquez; Héctor Cardona-Reyes

doi:10.1007/978-3-031-24709-5_10

Multi-label Search Model for Open Educational Resources Based on Learning Purpose

Klinge Villalba-Condori, Lushianna Tejada-Ortega, Julio Vera-Sancho, Jorge Mamani-Calcina, Cesar Vera-Vasquez, Héctor Cardona-Reyes

EAP Ingeniería mecánica

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

Resumen

The Open Educational Resources (OER) repositories store a large quantity and variety of data from multiple sources, and that present relevant and useful information for the student training process, improving student performance thanks to more up-to-date and didactic educational content, this generates the need for a more specialized Learning Objects (LO) search system. In this research work, a multi-label search platform is proposed based on the learning purpose that unifies the information from different OER in a single platform, using an information extraction process based on Web Scraping techniques and generating a selection of one of them. Or multiple tags, based on the SOLO taxonomy, using an MLP-based multi-tag classifier. As a result, we obtained the improvement of the most specialized search and content according to what teachers really need, up to 85% accuracy of the resources they needed and approval of the use of the platform up to 78.57%.

Idioma original	Inglés estadounidense
Título de la publicación alojada	Human-Computer Interaction - 8th Iberoamerican Workshop, HCI-COLLAB 2022, Revised Selected Papers
Editores	Vanessa Agredo-Delgado, Pablo H. Ruiz, Vanessa Agredo-Delgado, Pablo H. Ruiz, Omar Correa-Madrigal
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	130-145
-	16
ISBN (versión impresa)	9783031247088
DOI	https://doi.org/10.1007/978-3-031-24709-5_10
Estado	Indizado - 2022
Evento	8th Ibero-American Workshop on Human-Computer Interaction, HCI-COLLAB 2022 - Havana, Cuba Duración: 13 oct. 2022 → 15 oct. 2022

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1707 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	8th Ibero-American Workshop on Human-Computer Interaction, HCI-COLLAB 2022
País/Territorio	Cuba
Ciudad	Havana
Período	13/10/22 → 15/10/22

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Acceder al documento

10.1007/978-3-031-24709-5_10

Citar esto

Villalba-Condori, K., Tejada-Ortega, L., Vera-Sancho, J., Mamani-Calcina, J., Vera-Vasquez, C., & Cardona-Reyes, H. (2022). Multi-label Search Model for Open Educational Resources Based on Learning Purpose. En V. Agredo-Delgado, P. H. Ruiz, V. Agredo-Delgado, P. H. Ruiz, & O. Correa-Madrigal (Eds.), Human-Computer Interaction - 8th Iberoamerican Workshop, HCI-COLLAB 2022, Revised Selected Papers (pp. 130-145). (Communications in Computer and Information Science; Vol. 1707 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-24709-5_10

Villalba-Condori, Klinge ; Tejada-Ortega, Lushianna ; Vera-Sancho, Julio et al. / Multi-label Search Model for Open Educational Resources Based on Learning Purpose. Human-Computer Interaction - 8th Iberoamerican Workshop, HCI-COLLAB 2022, Revised Selected Papers. editor / Vanessa Agredo-Delgado ; Pablo H. Ruiz ; Vanessa Agredo-Delgado ; Pablo H. Ruiz ; Omar Correa-Madrigal. Springer Science and Business Media Deutschland GmbH, 2022. pp. 130-145 (Communications in Computer and Information Science).

@inproceedings{6882b92fb1cb47999cd32e55d35add7e,

title = "Multi-label Search Model for Open Educational Resources Based on Learning Purpose",

abstract = "The Open Educational Resources (OER) repositories store a large quantity and variety of data from multiple sources, and that present relevant and useful information for the student training process, improving student performance thanks to more up-to-date and didactic educational content, this generates the need for a more specialized Learning Objects (LO) search system. In this research work, a multi-label search platform is proposed based on the learning purpose that unifies the information from different OER in a single platform, using an information extraction process based on Web Scraping techniques and generating a selection of one of them. Or multiple tags, based on the SOLO taxonomy, using an MLP-based multi-tag classifier. As a result, we obtained the improvement of the most specialized search and content according to what teachers really need, up to 85\% accuracy of the resources they needed and approval of the use of the platform up to 78.57\%.",

keywords = "Machine learning, Open educational resources, Scrapy",

author = "Klinge Villalba-Condori and Lushianna Tejada-Ortega and Julio Vera-Sancho and Jorge Mamani-Calcina and Cesar Vera-Vasquez and H{\'e}ctor Cardona-Reyes",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 8th Ibero-American Workshop on Human-Computer Interaction, HCI-COLLAB 2022 ; Conference date: 13-10-2022 Through 15-10-2022",

year = "2022",

doi = "10.1007/978-3-031-24709-5\_10",

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booktitle = "Human-Computer Interaction - 8th Iberoamerican Workshop, HCI-COLLAB 2022, Revised Selected Papers",

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Villalba-Condori, K, Tejada-Ortega, L, Vera-Sancho, J, Mamani-Calcina, J, Vera-Vasquez, C & Cardona-Reyes, H 2022, Multi-label Search Model for Open Educational Resources Based on Learning Purpose. En V Agredo-Delgado, PH Ruiz, V Agredo-Delgado, PH Ruiz & O Correa-Madrigal (eds.), Human-Computer Interaction - 8th Iberoamerican Workshop, HCI-COLLAB 2022, Revised Selected Papers. Communications in Computer and Information Science, vol. 1707 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 130-145, 8th Ibero-American Workshop on Human-Computer Interaction, HCI-COLLAB 2022, Havana, Cuba, 13/10/22. https://doi.org/10.1007/978-3-031-24709-5_10

Multi-label Search Model for Open Educational Resources Based on Learning Purpose. / Villalba-Condori, Klinge; Tejada-Ortega, Lushianna; Vera-Sancho, Julio et al.
Human-Computer Interaction - 8th Iberoamerican Workshop, HCI-COLLAB 2022, Revised Selected Papers. ed. / Vanessa Agredo-Delgado; Pablo H. Ruiz; Vanessa Agredo-Delgado; Pablo H. Ruiz; Omar Correa-Madrigal. Springer Science and Business Media Deutschland GmbH, 2022. p. 130-145 (Communications in Computer and Information Science; Vol. 1707 CCIS).

Producción científica: Libro o Capítulo del libro › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Multi-label Search Model for Open Educational Resources Based on Learning Purpose

AU - Villalba-Condori, Klinge

AU - Tejada-Ortega, Lushianna

AU - Vera-Sancho, Julio

AU - Mamani-Calcina, Jorge

AU - Vera-Vasquez, Cesar

AU - Cardona-Reyes, Héctor

PY - 2022

Y1 - 2022

N2 - The Open Educational Resources (OER) repositories store a large quantity and variety of data from multiple sources, and that present relevant and useful information for the student training process, improving student performance thanks to more up-to-date and didactic educational content, this generates the need for a more specialized Learning Objects (LO) search system. In this research work, a multi-label search platform is proposed based on the learning purpose that unifies the information from different OER in a single platform, using an information extraction process based on Web Scraping techniques and generating a selection of one of them. Or multiple tags, based on the SOLO taxonomy, using an MLP-based multi-tag classifier. As a result, we obtained the improvement of the most specialized search and content according to what teachers really need, up to 85% accuracy of the resources they needed and approval of the use of the platform up to 78.57%.

AB - The Open Educational Resources (OER) repositories store a large quantity and variety of data from multiple sources, and that present relevant and useful information for the student training process, improving student performance thanks to more up-to-date and didactic educational content, this generates the need for a more specialized Learning Objects (LO) search system. In this research work, a multi-label search platform is proposed based on the learning purpose that unifies the information from different OER in a single platform, using an information extraction process based on Web Scraping techniques and generating a selection of one of them. Or multiple tags, based on the SOLO taxonomy, using an MLP-based multi-tag classifier. As a result, we obtained the improvement of the most specialized search and content according to what teachers really need, up to 85% accuracy of the resources they needed and approval of the use of the platform up to 78.57%.

KW - Machine learning

KW - Open educational resources

KW - Scrapy

UR - https://www.scopus.com/pages/publications/85147985608

U2 - 10.1007/978-3-031-24709-5_10

DO - 10.1007/978-3-031-24709-5_10

M3 - Conference contribution

AN - SCOPUS:85147985608

SN - 9783031247088

T3 - Communications in Computer and Information Science

SP - 130

EP - 145

BT - Human-Computer Interaction - 8th Iberoamerican Workshop, HCI-COLLAB 2022, Revised Selected Papers

A2 - Agredo-Delgado, Vanessa

A2 - Ruiz, Pablo H.

A2 - Agredo-Delgado, Vanessa

A2 - Ruiz, Pablo H.

A2 - Correa-Madrigal, Omar

PB - Springer Science and Business Media Deutschland GmbH

T2 - 8th Ibero-American Workshop on Human-Computer Interaction, HCI-COLLAB 2022

Y2 - 13 October 2022 through 15 October 2022

ER -

Villalba-Condori K, Tejada-Ortega L, Vera-Sancho J, Mamani-Calcina J, Vera-Vasquez C, Cardona-Reyes H. Multi-label Search Model for Open Educational Resources Based on Learning Purpose. En Agredo-Delgado V, Ruiz PH, Agredo-Delgado V, Ruiz PH, Correa-Madrigal O, editores, Human-Computer Interaction - 8th Iberoamerican Workshop, HCI-COLLAB 2022, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 130-145. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-24709-5_10

Multi-label Search Model for Open Educational Resources Based on Learning Purpose

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