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Intelligent Learning Environments: Design, Usage and Analytics for Future Schools

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Shaping Future Schools with Digital Technology

Part of the book series: Perspectives on Rethinking and Reforming Education ((PRRE))

Abstract

This chapter reviews the field broadly referred to as Intelligent Learning Environments (ILE), capturing the state-of-the-art in both Intelligent Tutoring Systems (ITS) and Artificial Intelligence in Education (AIED). After a brief historical account, we report design architectures and implementation approaches exemplified by a recent example. We then shift our attention to classroom implementation and blended learning strategies that take into account the challenges of using ILE in the classroom. We present Learning Analytics tools as a way to support teachers addressing these challenges, to increase their awareness and ultimately to support students directly. We conclude with a summary of efficacy studies and open issues while advocating that these systems should not be seen as displacing teachers but augmenting the human aspects of teaching.

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Notes

  1. 1.

    This research received funding from the European Union Seventh Framework Programme (FP7/2007–2013) under Grant Agreement No. 318051—iTalk2Learn project. Thanks to all our iTalk2Learn colleagues for their support and ideas. For more details on the project see http://www.italk2learn.eu.

  2. 2.

    http://www.uis.unesco.org/Education/Pages/world-teachers-day-2015.aspx.

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Author information

Authors and Affiliations

  1. UCL Knowledge Lab, London, UK

    Manolis Mavrikis

  2. Institute of Educational Technology, The Open University, Milton Keynes, UK

    Wayne Holmes

Authors
  1. Manolis Mavrikis
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  2. Wayne Holmes
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Correspondence to Manolis Mavrikis .

Editor information

Editors and Affiliations

  1. School of Educational Technology, Beijing Normal University, Beijing, China

    Shengquan Yu

  2. Department of Educational Science, University of Helsinki, Helsinki, Finland

    Hannele Niemi

  3. College of Education, Charles Darwin University, Darwin, NT, Australia

    Jon Mason

Glossary of Acronyms

Intelligent Learning Environments

(ILE)

Intelligent Tutoring Systems

(ITS)

Artificial Intelligence in Education

(AIED)

Learning Analytics

(LA)

Feedback–Reasoning–Analysis–Model/Events approach to design

(FRAME)

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Mavrikis, M., Holmes, W. (2019). Intelligent Learning Environments: Design, Usage and Analytics for Future Schools. In: Yu, S., Niemi, H., Mason, J. (eds) Shaping Future Schools with Digital Technology. Perspectives on Rethinking and Reforming Education. Springer, Singapore. https://doi.org/10.1007/978-981-13-9439-3_4

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  • DOI: https://doi.org/10.1007/978-981-13-9439-3_4

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  • Online ISBN: 978-981-13-9439-3

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