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
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