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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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%.

Original languageEnglish
Title of host publicationHuman-Computer Interaction - 8th Iberoamerican Workshop, HCI-COLLAB 2022, Revised Selected Papers
EditorsVanessa Agredo-Delgado, Pablo H. Ruiz, Vanessa Agredo-Delgado, Pablo H. Ruiz, Omar Correa-Madrigal
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages16
ISBN (Print)9783031247088
StatePublished - 2022
Event8th Ibero-American Workshop on Human-Computer Interaction, HCI-COLLAB 2022 - Havana, Cuba
Duration: 13 Oct 202215 Oct 2022

Publication series

NameCommunications in Computer and Information Science
Volume1707 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


Conference8th Ibero-American Workshop on Human-Computer Interaction, HCI-COLLAB 2022


  • Machine learning
  • Open educational resources
  • Scrapy


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