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When the Going Gets Tough: Students’ Perceptions on Affect-Aware Support in an Exploratory Learning Environment for Fractions

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Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium (AIED 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13356))

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Abstract

It is well understood that affect interacts with and influences the learning process [2, 7, 9].

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References

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Authors and Affiliations

  1. School of Computing, Electronics and Maths, Coventry University, Coventry, UK

    Beate Grawemeyer

  2. UCL Knowledge Lab, Institute of Education, University College London, London, UK

    Manolis Mavrikis & Wayne Holmes

Authors
  1. Beate Grawemeyer
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  2. Manolis Mavrikis
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  3. Wayne Holmes
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Corresponding authors

Correspondence to Beate Grawemeyer or Manolis Mavrikis .

Editor information

Editors and Affiliations

  1. Ateneo De Manila University, Quezon, Philippines

    Maria Mercedes Rodrigo

  2. Department of Computer Science, North Carolina State University, Raleigh, NC, USA

    Noburu Matsuda

  3. Durham University, Durham, UK

    Alexandra I. Cristea

  4. University of Leeds, Leeds, UK

    Vania Dimitrova

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Grawemeyer, B., Mavrikis, M., Holmes, W. (2022). When the Going Gets Tough: Students’ Perceptions on Affect-Aware Support in an Exploratory Learning Environment for Fractions. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. AIED 2022. Lecture Notes in Computer Science, vol 13356. Springer, Cham. https://doi.org/10.1007/978-3-031-11647-6_98

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  • DOI: https://doi.org/10.1007/978-3-031-11647-6_98

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  • Online ISBN: 978-3-031-11647-6

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