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Link to original content: https://doi.org/10.1007/978-3-642-30950-2_93
Accuracy of Tracking Student’s Natural Language in Operation ARIES!, A Serious Game for Scientific Methods | SpringerLink
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Accuracy of Tracking Student’s Natural Language in Operation ARIES!, A Serious Game for Scientific Methods

  • Conference paper
Intelligent Tutoring Systems (ITS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7315))

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Abstract

OperationARIES! is an ITS that uses natural language conversations in order to teach research methodology to students in a serious game environment. Regular expressions and Latent Semantic Analysis (LSA) are used to evaluate the semantic matches between student contributions, expected good answers and misconceptions. Current implementation of these algorithms yields accuracy comparable to human ratings of student contributions. The performance of LSA can be further perfected by using a domain-specific rather than a generic corpus as a space for interpreting the meaning of the student generated contributions. ARIES can therefore accurately compute the quality of student answers during natural language tutorial conversations.

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References

  1. Landauer, T., McNamara, D., Dennis, S., Kintsch, W. (eds.): Handbook of Latent Semantic Analysis. Erlbaum, Mahwah (2007)

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  2. Jurafsky, D., Martin, J.H.: Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice-Hall, Upper Saddle Creek (2008)

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  3. Cai, Z., Graesser, A.C., Forsyth, C., Burkett, C., Millis, K., Wallace, P., Halpern, D., Butler, H.: Trialog in ARIES: User Input Assessment in an Intelligent Tutoring System. In: Proceedings of the 3rd IEEE International Conference on Intelligent Computing and Intelligent Systems, pp. 429–433. IEEE Press, Guangzhou (2011)

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Author information

Authors and Affiliations

  1. Institute for Intelligent Systems, University of Memphis, Memphis, TN, USA

    Zhiqiang Cai, Carol Forsyth, Mae-Lynn Germany & Arthur Graesser

  2. Department of Psychology, Northern Illinois University, Dekalb, IL, USA

    Keith Millis

Authors
  1. Zhiqiang Cai
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  2. Carol Forsyth
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  3. Mae-Lynn Germany
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  4. Arthur Graesser
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  5. Keith Millis
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Editor information

Editors and Affiliations

  1. University of Montpellier & CNRS LIRMM, 161 rue Ada, 34095, Montpellier, France

    Stefano A. Cerri

  2. NASA and Florida Institute for Human and Machine Cognition, Human Centered Computing - Intelligent Systems Division, 94035, Moffett Field, CA, USA

    William J. Clancey

  3. Department of Applied Informatics and Multimedia, Technological Educational Institute of Crete, School of Applied Technology, Stavromenos, P.O.Box 1939, 71004, Heraklion, Crete, Greece

    Giorgos Papadourakis

  4. Neoanalysis Ltd., Marni 56, 10437, Athens, Greece

    Kitty Panourgia

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© 2012 Springer-Verlag Berlin Heidelberg

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Cai, Z., Forsyth, C., Germany, ML., Graesser, A., Millis, K. (2012). Accuracy of Tracking Student’s Natural Language in Operation ARIES!, A Serious Game for Scientific Methods. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2012. Lecture Notes in Computer Science, vol 7315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30950-2_93

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  • DOI: https://doi.org/10.1007/978-3-642-30950-2_93

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30949-6

  • Online ISBN: 978-3-642-30950-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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