TY - CHAP
T1 - Content-Based Learning Object Recommendation System Using a User Profile Ontology for High School Students
AU - Morillo-Palacios, Bruna
AU - Gutiérrez-Cárdenas, Juan
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10/31
Y1 - 2020/10/31
N2 - 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.
AB - 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.
KW - Content based
KW - Education
KW - Learning objects
KW - Ontologies
KW - Recommender system
UR - https://www.mendeley.com/catalogue/bf57c87e-1580-3118-9cc4-804819c9dfe1/
U2 - 10.1007/978-3-030-63128-4_63
DO - 10.1007/978-3-030-63128-4_63
M3 - Capítulo
AN - SCOPUS:85096484551
SN - 9783030631277
T3 - Advances in Intelligent Systems and Computing
SP - 838
EP - 858
BT - Advances in Intelligent Systems and Computing
A2 - Arai, Kohei
A2 - Kapoor, Supriya
A2 - Bhatia, Rahul
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 5 November 2020 through 6 November 2020
ER -