Multi-label search platform for open educational resources based on purposes learning

Julio Vera-Sancho, Gustavo Suero-Soto, Lushianna Tejada, Sonia Castro-Cuba-Sayco, Klinge Villalba-Condori

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

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.

Original languageEnglish
Title of host publicationICCE 2019 - 27th International Conference on Computers in Education, Proceedings
EditorsMaiga Chang, Hyo-Jeong So, Lung-Hsiang Wong, Ju-Ling Shih, Fu-Yun Yu, Michelle P. Banawan, Ben Chang, Weiqin Chen, Andrei D. Coronel, Swapna Gottipati, H. Ulrich Hoppe, Morris S.Y. Jong, Calvin Liao, Jon Mason, Fan Ouyang, Patcharin Panjaburee, Ma. Mercedes T. Rodrigo, Yanjie Song, Niwat Srisawasdi, Ahmed Tlili, Chengjiu Yin
PublisherAsia-Pacific Society for Computers in Education
Pages734-743
Number of pages10
ISBN (Electronic)9789869721448
StatePublished - 19 Nov 2019
Event27th International Conference on Computers in Education, ICCE 2019 - Kenting, Taiwan, Province of China
Duration: 2 Dec 20196 Dec 2019

Publication series

NameICCE 2019 - 27th International Conference on Computers in Education, Proceedings
Volume2

Conference

Conference27th International Conference on Computers in Education, ICCE 2019
Country/TerritoryTaiwan, Province of China
CityKenting
Period2/12/196/12/19

Keywords

  • Classification
  • Neural networks
  • Resources educational resources
  • Scraping

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