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Student Learning Benefits of a Mixed-Reality Teacher Awareness Tool in AI-Enhanced Classrooms

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Book cover Artificial Intelligence in Education (AIED 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10947))

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Abstract

When used in K-12 classrooms, intelligent tutoring systems (ITSs) can be highly effective in helping students learn. However, they might be even more effective if designed to work together with human teachers, to amplify their abilities and leverage their complementary strengths. In the present work, we designed a wearable, real-time teacher awareness tool: mixed-reality smart glasses that tune teachers in to the rich analytics generated by ITSs, alerting them to situations the ITS may be ill-suited to handle. A 3-condition experiment with 286 middle school students, across 18 classrooms and 8 teachers, found that presenting teachers with real-time analytics about student learning, metacognition, and behavior had a positive impact on student learning, compared with both business-as-usual and classroom monitoring support without advanced analytics. Our findings suggest that real-time teacher analytics can help to narrow the gap in learning outcomes across students of varying prior ability. This is the first experimental study showing that real-time teacher analytics can enhance student learning. This research illustrates the promise of AIED systems that integrate human and machine intelligence to support student learning.

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Acknowledgements

This work was supported by NSF Award #1530726, and IES Grant R305B150008 to CMU. The opinions expressed are those of the authors and do not represent the views of NSF, IES or the U.S. ED. Special thanks to Gena Hong, Octav Popescu, Jonathan Sewall, Mera Tegene, Cindy Tipper, and all participating students and teachers.

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Authors and Affiliations

  1. Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Kenneth Holstein, Bruce M. McLaren & Vincent Aleven

Authors
  1. Kenneth Holstein
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  2. Bruce M. McLaren
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  3. Vincent Aleven
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Corresponding author

Correspondence to Kenneth Holstein .

Editor information

Editors and Affiliations

  1. Carnegie Mellon University, Pittsburgh, PA, USA

    Carolyn Penstein Rosé

  2. University of Technology, Sydney, NSW, Australia

    Roberto Martínez-Maldonado

  3. University of Duisburg-Essen, Duisburg, Germany

    H. Ulrich Hoppe

  4. UCL Institute of Education, London, UK

    Rose Luckin

  5. UCL Institute of Education, London, UK

    Manolis Mavrikis

  6. UCL Institute of Education, London, UK

    Kaska Porayska-Pomsta

  7. Carnegie Mellon University, Pittsburgh, PA, USA

    Bruce McLaren

  8. University of Sussex, Brighton, UK

    Benedict du Boulay

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Holstein, K., McLaren, B.M., Aleven, V. (2018). Student Learning Benefits of a Mixed-Reality Teacher Awareness Tool in AI-Enhanced Classrooms. In: Penstein Rosé, C., et al. Artificial Intelligence in Education. AIED 2018. Lecture Notes in Computer Science(), vol 10947. Springer, Cham. https://doi.org/10.1007/978-3-319-93843-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-93843-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93842-4

  • Online ISBN: 978-3-319-93843-1

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