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Methodologies and Intelligent Systems for Technology Enhanced Learning pp 77–85Cite as

Identifying Weak Sentences in Student Drafts: A Tutoring System

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 292)

Abstract

The first draft of an undergraduate student thesis generally presents deficiencies, which must be polished with the help of the academic advisor to get an acceptable document. However, this task is repeated every time a student prepares his thesis, becoming extra time spent by the advisor. Our work seeks to help the student improve the writing, based on intelligent tutoring and natural language processing techniques. For the current study, we focus primarily on the conclusions section of a thesis. In this paper we present three tutoring system components: Identifying Weak Sentences, Classifying the Weak Sentences, Customizing Feedback to Students. Our system identifies weaknesses in sentences, such as the use of general instead of specific terms, or the absence of reflections and personal opinions. We provide initial models and their evaluations for each component.

Keywords

  • Weak sentences
  • Thesis drafts
  • Conclusion evaluation

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  • DOI: 10.1007/978-3-319-07698-0_10
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Author information

Authors and Affiliations

  1. National Institute of Astrophysics, Optics and Electronics, Tonantzintla, Puebla, México

    Samuel González López & Aurelio López-López

  2. University of Alabama at Birmingham, Birmingham, Alabama, USA

    Steven Bethard

Authors
  1. Samuel González López
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  2. Steven Bethard
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  3. Aurelio López-López
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Corresponding author

Correspondence to Samuel González López .

Editor information

Editors and Affiliations

  1. Department of Electric and Information Engineering, Monteluco di Roio, University of L’Aquila, L’Aquila, Italy

    Tania Di Mascio

  2. Computer Science Faculty, Free University of Bozen-Bolzano, Bolzano, Italy

    Rosella Gennari

  3. Department of Internal Medicine and Public Health, University of L'Aquila, L'Aquila, Italy

    Pierpaolo Vitorini

  4. Informatics Institute, Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    Rosa Vicari

  5. University of Salamanca, Salamanca, Spain

    Fernando de la Prieta

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López, S.G., Bethard, S., López-López, A. (2014). Identifying Weak Sentences in Student Drafts: A Tutoring System. In: Mascio, T., Gennari, R., Vitorini, P., Vicari, R., de la Prieta, F. (eds) Methodologies and Intelligent Systems for Technology Enhanced Learning. Advances in Intelligent Systems and Computing, vol 292. Springer, Cham. https://doi.org/10.1007/978-3-319-07698-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-07698-0_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07697-3

  • Online ISBN: 978-3-319-07698-0

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