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.
|Title of host publication||ICCE 2019 - 27th International Conference on Computers in Education, Proceedings|
|Editors||Maiga 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|
|Publisher||Asia-Pacific Society for Computers in Education|
|Number of pages||10|
|State||Published - 19 Nov 2019|
|Event||27th International Conference on Computers in Education, ICCE 2019 - Kenting, Taiwan, Province of China|
Duration: 2 Dec 2019 → 6 Dec 2019
|Name||ICCE 2019 - 27th International Conference on Computers in Education, Proceedings|
|Conference||27th International Conference on Computers in Education, ICCE 2019|
|Country/Territory||Taiwan, Province of China|
|Period||2/12/19 → 6/12/19|
Bibliographical notePublisher Copyright:
© ICCE 2019 - 27th International Conference on Computers in Education, Proceedings. All rights reserved.
- Neural networks
- Resources educational resources