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Using Examples in Intelligent Tutoring Systems

  • 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

In the past five years, researchers studied the use of examples compared to tutored problems in different domains, yet the results are not conclusive to decide whether they could replace tutored problems or not. Due to different results in using examples for Intelligent Tutoring System (ITS), there is still a research potential to investigate examples’ effects on learning compared to tutored problems. We plan to expand this area to Constraint Based Modeling (CBM) tutors using SQL-Tutor. The result of this study would allow us to develop more effective and efficient ITSs.

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References

  1. Aleven, V.A., Koedinger, K.R.: An effective metacognitive strategy: learning by doing and explaining with a computer-based cognitive tutor. Cognitive Science 26(2), 147–179 (2002)

    Article  Google Scholar 

  2. Atkinson, R.K., Derry, S.J., Renkl, A., Wortham, D.: Learning from examples: Instructional principles from the worked examples research. Review of Educational Research 70(2), 181–214 (2000)

    Google Scholar 

  3. van Gog, T., Kester, L., Paas, F.: Effects of worked examples, example-problem, and problem-example pairs on novices’ learning. Contemporary Educational Psychology 36(3), 212–218 (2011)

    Article  Google Scholar 

  4. Mayer, R.E.: Multimedia Learning, 2nd edn. Cambridge University Press, New York (2009)

    Google Scholar 

  5. McLaren, B., Isotani, S.: When Is It Best to Learn with All Worked Examples? In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds.) AIED 2011. LNCS, vol. 6738, pp. 222–229. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  6. Mitrovic, A.: An intelligent SQL Tutor on the web. Int. J. Artif. Intell. Ed. 13, 173–197 (2003)

    Google Scholar 

  7. Mitrovic, A., Weerasinghe, A.: Revisiting ill-definedness and the consequences for ITSs. In: Proceeding of the 2009 Conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, pp. 375–382. IOS Press, Amsterdam (2009)

    Google Scholar 

  8. Rourke, A., Sweller, J.: The worked-example effect using ill-defined problems: Learning to recognise designers’ styles. Learning and Instruction 19(2), 185–199 (2009)

    Article  Google Scholar 

  9. Schwonke, R., Renkl, A., Krieg, C., Wittwer, J., Aleven, V., Salden, R.: The worked-example effect: Not an artefact of lousy control conditions. Computers in Human Behavior 25, 258–266 (2009)

    Article  Google Scholar 

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Authors and Affiliations

  1. Intelligent Computer Tutoring Group, University of Canterbury, New Zealand

    Amir Shareghi Najar & Antonija Mitrovic

Authors
  1. Amir Shareghi Najar
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  2. Antonija Mitrovic
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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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Shareghi Najar, A., Mitrovic, A. (2012). Using Examples in Intelligent Tutoring Systems. 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_76

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  • DOI: https://doi.org/10.1007/978-3-642-30950-2_76

  • 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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