Content-Based Learning Object Recommendation System Using a User Profile Ontology for High School Students

Bruna Morillo Palacios, Juan Manuel Gutiérrez Cárdenas

Research output: Contribution to journalArticle (Contribution to Journal)peer-review

Abstract

The lack of quality of education in Peruvian schools has caused young people to look for other ways to obtain information, of which the web stands out. However, this tool is made up of billions of web pages, which affects the time each student takes to search. To address this situation, we propose the development of a content-based recommendation system that uses ontologies for data storage. Our recommender system allows the user profile data to be integrated into the model to consider its characteristics as part of the recommendation. We carried out two sets of validations for the evaluation of our proposal, one with expert judgment and the other by gathering the opinion of the end-users. As a result of the first evaluation, we found that 76.25% of the items were highly related to the search. For the second evaluation, we found that our system obtained a usability of 78.67%, considering the opinion of the students tested.
Original languageAmerican English
Pages (from-to)838-858
Number of pages21
JournalAdvances in Intelligent Systems and Computing
DOIs
StatePublished - 31 Oct 2020

Keywords

  • Content based
  • Education
  • Learning objects
  • Ontologies
  • Recommender system

COAR

  • Conference Object

OECD Category

  • Ingeniería de sistemas y comunicaciones

Ulima Repository Category

  • Ingeniería de sistemas / Sistemas de información

Ulima Repository Subject

  • Aprendizaje
  • Decision making
  • Estudiantes
  • Learning
  • Students
  • Toma de decisiones

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