Skip to main content

Assisting Students in Writing by Examining How Their Ideas Are Connected

  • Conference paper
Methodologies and Intelligent Systems for Technology Enhanced Learning

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

Abstract

Research proposal writing is an arduous process for students and instructors. The proposal must comply with requirements of academic guidelines, and is transformed into a thesis in some cases after several revisions by an adviser. In this paper we present an analyzer to identify the flow of concepts within proposal drafts, with the goal of aiding students to improve their drafting. We propose some novel methods integrated into our analyzer, which were designed considering the transitions of grammar constituents in Problem Statement, Justification and Conclusions sections. We performed experiments on corpora and we could identify anomalous paragraphs. In addition, our results show that graduate students produce better flow of conceptual sequences than undergraduate students.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Davis, J., Liss, R.: Effective Academic Writing 3, The essay. Oxford University Press (2006)

    Google Scholar 

  2. Webber, B., Egg, M., Kordoni, V.: Discourse structure and language technology. Nat. Lang. Eng. 18, 437–490 (2011)

    Article  Google Scholar 

  3. O’Rourke, S., Calvo, R.: Analysing Semantic Flow in Academic Writing. In: Proceedings of the 2009 Conference on Artificial Intelligence in Education: Building Learning Systems that Care, pp. 173–180. IOS Press, Amsterdam (2009)

    Google Scholar 

  4. Barzilay, R., Lapata, M.: Modeling local coherence: An entity-based approach. Comput. Linguist. 34, 1–34 (2008)

    Article  Google Scholar 

  5. Pitler, E., Louis, A., Nenkova, A.: Automatic evaluation of linguistic quality in multi-document summarization. In: Proceedings of the 48th Annual Meeting of the Association for Comput. Linguist (ACL 2010), Stroudsburg, PA, USA, pp. 544–554 (2010)

    Google Scholar 

  6. Elsner, M., Charniak, M.: Disentangling chat with local coherence models. In: Proceedings of the 49th Annual Meeting of the Association for Comput. Linguist.: Human Language Technologies, Stroudsburg, PA, USA, vol. 1, pp. 1179–1189 (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Samuel González López .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

López, S.G., López-López, A. (2014). Assisting Students in Writing by Examining How Their Ideas Are Connected. 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_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-07698-0_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07697-3

  • Online ISBN: 978-3-319-07698-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics