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International Conference on Artificial Intelligence in Education

AIED 2011: Artificial Intelligence in Education pp 541–543Cite as

TORMES Methodology to Elicit Educational Oriented Recommendations

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

Abstract

The TORMES methodology is based on the ISO standard 9241-210 and aims to involve educators in the process of designing educationally oriented recommendations through user centred design methods and data mining analysis. In this paper, we focus on the iteration to elicit educational oriented recommendations.

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References

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Author information

Authors and Affiliations

  1. aDeNu Research Group, Artificial Intelligence Department, UNED, Calle Juan del Rosal, 16, Madrid, 28040, Spain

    Olga C. Santos & Jesus G. Boticario

Authors
  1. Olga C. Santos
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  2. Jesus G. Boticario
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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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Santos, O.C., Boticario, J.G. (2011). TORMES Methodology to Elicit Educational Oriented Recommendations . 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_95

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  • DOI: https://doi.org/10.1007/978-3-642-21869-9_95

  • 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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