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Corpus-Based Performance Analysis for Automatically Grading Use of Language in Essays

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Artificial Intelligence in Education (AIED 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6738))

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Abstract

From its early beginning a big issue in Computer Supported Learning Systems research has been directed to automatically evaluating freely written text. Previous work in use of language grading of summaries showed to be successful identifying critical differences in summary writing maturity. This work, describes further testing discriminating course-to-course improvements of second language learners. Automatic grades are tested on an essay corpus.

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Author information

Authors and Affiliations

  1. The University of the Basque Country, UPV/EHU, Manuel Lardizabal pasealekua, 20018, Donostia, Spain

    Iraide Zipitria, Jon A. Elorriaga & Ana Arruarte

Authors
  1. Iraide Zipitria
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  2. Jon A. Elorriaga
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  3. Ana Arruarte
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Editor information

Editors and Affiliations

  1. EECS Department/ISIS, Vanderbilt University, TN 37235, Nashville, USA

    Gautam Biswas

  2. Electronic, Electrical and Computer Engineering, University of Birmingham, U.K.

    Susan Bull

  3. School of Information Technologies, University of Sydney, 1 Cleveland Street, 2006, Sydney, Australia

    Judy Kay

  4. College of Engineering, Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, 8140, Christchurch, New Zealand

    Antonija Mitrovic

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© 2011 Springer-Verlag Berlin Heidelberg

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Zipitria, I., Elorriaga, J.A., Arruarte, A. (2011). Corpus-Based Performance Analysis for Automatically Grading Use of Language in Essays. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds) Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science(), vol 6738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21869-9_111

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  • DOI: https://doi.org/10.1007/978-3-642-21869-9_111

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21868-2

  • Online ISBN: 978-3-642-21869-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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