NetExtractor. A semi-automatic educational tool for network extraction conceived to differentiate by student interest

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Abstract

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

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Cabrejas-Arce, L. M., Navarro, J., Ahedo, V., & Galán, J. M. (2021). NetExtractor. A semi-automatic educational tool for network extraction conceived to differentiate by student interest. In Advances in Intelligent Systems and Computing (Vol. 1266 AISC, pp. 205–214). Springer. https://doi.org/10.1007/978-3-030-57799-5_22

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