Title
Multi-label search platform for open educational resources based on purposes learning
Date Issued
19 November 2019
Access level
metadata only access
Resource Type
conference paper
Author(s)
VERA SANCHO, JULIO AUGUSTO
Suero-Soto G.
Tejada L.
VILLALBA CONDORI, KLINGE ORLANDO
Publisher(s)
Asia-Pacific Society for Computers in Education
Abstract
Open Educational Resources (OER) repositories stores a large amount and variety of data from multiple sources, and these presents relevant information to the educational learning process; but nowadays, thinking computing takes great importance, and that's why a search system of specialized educational resources in this area is of great need. This work presents the use of Data Mining in OER repositories, for the construction of a multi-label search platform. The process of extracting information is based on Web Scraping techniques, and the use of a multi-label classifier based on Multi Layer Perceptron. This work contributes to a search of OERs based on purposes learning, using as a case study the area of thinking computing.
Start page
734
End page
743
Volume
2
Language
English
OCDE Knowledge area
Educación general (incluye capacitación, pedadogía)
Ciencias de la Información
Subjects
Scopus EID
2-s2.0-85077715856
ISBN of the container
978-986972144-8
Conference
ICCE 2019 - 27th International Conference on Computers in Education, Proceedings
Sources of information:
Directorio de Producción Científica
Scopus