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The Mobile Fact and Concept Training System (MoFaCTS)

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Intelligent Tutoring Systems (ITS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9684))

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Abstract

The effectiveness of Intelligent Tutoring Systems (ITS) research is enhanced by tools that allow researchers to quickly bridge the divide between theoretical and applied work. By providing a common infrastructure to test cognitive and learning science theories in authentic contexts with real students, the Mobile Fact and Concept Training System (MoFaCTS) can aid in accelerating ITS research and real world implementation. MoFaCTS is run from a web browser and allows the teacher or administrator to set up a sequence of units of content. Because the “optimal practice” module is interchangeable, the system allows for the comparison of alternative methods of adaptive practice. To foster faster research progress, data export supports the DataShop transaction format, which allows quick analysis of data using the DataShop tools. Integration with Amazon Turk allows quick and efficient data collection from this source.

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Acknowledgements

This work is supported by the National Science Foundation Data Infrastructure Building Blocks program under Grant No. (ACI-1443068) and the University of Memphis Institute for Intelligent Systems.

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Authors and Affiliations

  1. Institute for Intelligent Systems, University of Memphis, Memphis, TN, 38152, USA

    Philip I. Pavlik Jr., Craig Kelly & Jaclyn K. Maass

Authors
  1. Philip I. Pavlik Jr.
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  2. Craig Kelly
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  3. Jaclyn K. Maass
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Corresponding author

Correspondence to Philip I. Pavlik Jr. .

Editor information

Editors and Affiliations

  1. Roma Tre University , Rome, Italy

    Alessandro Micarelli

  2. Carnegie Mellon University , Pittsburgh, Pennsylvania, USA

    John Stamper

  3. Neoanalysis Ltd , Athens, Greece

    Kitty Panourgia

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© 2016 Springer International Publishing Switzerland

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Pavlik, P.I., Kelly, C., Maass, J.K. (2016). The Mobile Fact and Concept Training System (MoFaCTS). In: Micarelli, A., Stamper, J., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2016. Lecture Notes in Computer Science(), vol 9684. Springer, Cham. https://doi.org/10.1007/978-3-319-39583-8_25

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  • DOI: https://doi.org/10.1007/978-3-319-39583-8_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39582-1

  • Online ISBN: 978-3-319-39583-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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