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 1
  4. José Manuel Galán 1
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Livre:
The 11th International Conference on EUropean Transnational Educational: (ICEUTE 2020)
  1. Álvaro Herrero (ed. lit.)
  2. Carlos Cambra (ed. lit.)
  3. Daniel Urda (ed. lit.)
  4. Javier Sedano (ed. lit.)
  5. Héctor Quintián (ed. lit.)
  6. Emilio Corchado (ed. lit.)

Éditorial: Springer Suiza

ISBN: 3-030-57798-8,  3-030-57799-6

Année de publication: 2021

Pages: 205-214

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

Type: Communication dans un congrès

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Résumé

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.

La source de données: Dialnet