NetExtractora Semi-automatic Educational Tool for Network Extraction Conceived to Differentiate by Student Interest

  1. Luis Miguel Cabrejas Arce 1
  2. Jorge Navarro 1
  3. Virginia Ahedo García 1
  4. José Manuel Galán Ordax 1
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Book:
The 11th International Conference on EUropean Transnational Educational: (ICEUTE 2020)
  1. Álvaro Herrero Cosío (ed. lit.)
  2. Carlos Cambra Baseca (ed. lit.)
  3. Daniel Urda Muñoz (ed. lit.)
  4. Javier Sedano Franco (ed. lit.)
  5. Héctor Quintián Pardo (ed. lit.)
  6. Emilio Santiago Corchado Rodríguez (ed. lit.)

Publisher: Springer Suiza

ISBN: 3-030-57798-8

Year of publication: 2021

Pages: 205-214

Congress: International Conference on EUropean Transnational Educational (ICEUTE) (11. 2020. Burgos)

Type: Conference paper

Abstract

Network science is an interdisciplinary field that provides a widerange of analytical and computational tools to conceptualize, develop, analyze and understand interconnected systems. The recent technological and socialmedia developments based on this field explain the increasing interest to include network-based concepts across all educational stages. In this work, we present aweb-based application to obtain networks from novels and/or movie scriptssemi-automatically. These graphs can be used as teaching examples and inassignments, thus implementing differentiation by interest instruction and facilitating the adaptation of the contents to multicultural classrooms.