NetExtractor: a Semi-automatic Educational Tool for Network Extraction Conceived to Differentiate by Student Interest

Luis Miguel Cabrejas-Arce ^[1] ; Jorge Navarro ^[1] ; Virginia Ahedo ^[1] ; José Manuel Galán ^[1]
1. [1] Universidad de Burgos
  
  Universidad de Burgos
  
  Burgos, España
Localización: The 11th International Conference on EUropean Transnational Educational: (ICEUTE 2020) / Álvaro Herrero Cosío (ed. lit.), Carlos Cambra Baseca (ed. lit.), Daniel Urda Muñoz (ed. lit.), Javier Sedano Franco (ed. lit.), Héctor Quintián Pardo (ed. lit.), Emilio Santiago Corchado Rodríguez (ed. lit.), 2021, ISBN 3-030-57798-8, págs. 205-214
Idioma: inglés
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Resumen
- 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.