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A Technique for Conflict Detection in Collaborative Learning Environment by Using Text Sentiment

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Advances in Computational Intelligence (MICAI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12469))

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Abstract

Computer-Supported Collaborative Learning (CSCL) can give many benefits to students such as promoting creativity and sense of community, sharing abilities, etc. However, when groups of people work together, conflict is inevitable. Generally, conflict in any CSCL situation is uncomfortable, time consuming and counterproductive. It is hard to characterize a conflict because it can involve many factors – e.g., environmental factors, member’s differences, etc. This paper proposes a technique to recognize conflicts in a group and the members involved in them by focusing in the socio-emotional interactions. As disagreements between group members generally cause negative emotions, and members can induce negative emotions to other members; then, a conflict between two or more members can be recognized when there are bidirectional negative messages in the same conversation thread. The proposed technique represents chat interactions as a digraph in which the nodes represent users and the edges indicate the transference of negative sentiments during the interactions. Then, a matrix of scaled commute times is used to detect clusters (subgroups having conflict). The validation of the technique shows promising results. The proposed technique is able to detect conflicts automatically, reducing the human effort required to detect these conflicts by other means.

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Author information

Authors and Affiliations

  1. Institute of Research in Informatic and Information System/CONICET, National University of Santiago del Estero, Av. Belgrano (s) 1912, CP4200, Santiago del Estero, Argentina

    Germán Lescano

  2. Unidad Tamaulipas, Cinvestav, Carretera Victoria- Soto la Marina Kilómetro 5.5, Ciudad Victoria - Soto la Marina, 87130, Cd Victoria, Tamps, México

    Carlos Lara

  3. IDIS Group, Department of Computer Science, University of Cauca, Calle 5 No. 4-70, Popayán, Colombia

    César A. Collazos

  4. Institute of Research in Informatic and Information System, National University of Santiago del Estero, Av. Belgrano (s) 1912, CP4200, Santiago del Estero, Argentina

    Rosanna Costaguta

Authors
  1. Germán Lescano
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  2. Carlos Lara
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  3. César A. Collazos
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  4. Rosanna Costaguta
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Corresponding author

Correspondence to Germán Lescano .

Editor information

Editors and Affiliations

  1. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

    Lourdes Martínez-Villaseñor

  2. Universidad Autónoma Metropolitana, Mexico City, Mexico

    Oscar Herrera-Alcántara

  3. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

    Hiram Ponce

  4. Universidad Autónoma del Estado de Hidalgo, Hidalgo, Mexico

    Félix A. Castro-Espinoza

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Lescano, G., Lara, C., Collazos, C.A., Costaguta, R. (2020). A Technique for Conflict Detection in Collaborative Learning Environment by Using Text Sentiment. In: Martínez-Villaseñor, L., Herrera-Alcántara, O., Ponce, H., Castro-Espinoza, F.A. (eds) Advances in Computational Intelligence. MICAI 2020. Lecture Notes in Computer Science(), vol 12469. Springer, Cham. https://doi.org/10.1007/978-3-030-60887-3_4

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  • DOI: https://doi.org/10.1007/978-3-030-60887-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60886-6

  • Online ISBN: 978-3-030-60887-3

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