Analysis of Concept Sequencing in Student Drafts

  • Samuel González-López
  • Aurelio López-López
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8719)


The proposal draft is the first step to achieve a university degree by students in many educational institutions. This proposal is transformed into a thesis after several revisions by an academic adviser. Each proposal must comply with requirements of institutional guidelines. In this paper we present an analyzer to identify the sequence of concepts within the proposal drafts in Computer Science and Information Technologies, with the goal of aiding students to improve their drafting. We propose four methods integrated into our analyzer, which were designed considering the transitions of grammar constituents (subject and object) in the sections of Problem Statement, Justification and Conclusions. We developed the methods from corpora analysis, validating them further. Moreover, we found that the sequences of concepts correspond to what is expected in the different sections.


Technical writing conceptual sequences student drafts 


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  1. 1.
    Davis, J., Liss, R.: Effective academic writing. The essay, vol. 3. Oxford University (2006)Google Scholar
  2. 2.
    Webber, B., Egg, M., Kordoni, V.: Discourse structure and language technology. Natural Language Engineering 18, 437–490 (2011)CrossRefGoogle Scholar
  3. 3.
    O’Rourke, S., Calvo, R.: Analysing Semantic Flow in Academic Writing. In: Proceedings Conference on Artificial Intelligence in Education: Building Learning Systems that Care, pp. 173–180. IOS Press, Amsterdam (2009)Google Scholar
  4. 4.
    Barzilay, R., Lapata, M.: Modeling local coherence: An entity-based approach. Computational Linguistics 34, 1–34 (2008)CrossRefGoogle Scholar
  5. 5.
    Elsner, M., Charniak, E.: Brown Coherence Toolkit. Brown University (2007),
  6. 6.
    Gonzalez-López, S., López-López, A.: Assisting Students in Writing by Examining How Their Ideas are Connected. In: Di Mascio, T., Gennari, R., Vitorini, P., Vicari, R., de la Prieta, F. (eds.) Methodologies and Intelligent Systems for Technology Enhanced Learning. AISC, vol. 292, pp. 9–18. Springer, Heidelberg (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Samuel González-López
    • 1
  • Aurelio López-López
    • 1
  1. 1.National Institute of Astrophysics, Optics and ElectronicsTonantzintlaMéxico

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