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Pictorial Representations of Achievement Emotions: Preliminary Data with Children and Adults

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Methodologies and Intelligent Systems for Technology Enhanced Learning

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 292))

Abstract

Three studies are presented aimed at testing a preliminary version of a pictorial instrument representing children’s achievement emotions as conceptualized in control-value theory. Children (second- and fifth-graders) and adults were administered three tasks assessing the correspondence between drawings of faces and ten achievement emotions (enjoyment, pride, hope, relief, relaxation, anxiety, anger, shame, boredom, and hopelessness): an agreement task (Study 1, n = 46), a matching task (Study 2, n = 47), and a naming task (Study 3, n = 53). Analyses on the agreement and matching task revealed accurate responses for all the emotions, while in the naming task low accuracy emerged for pride, hope, relief, and particularly for boredom. Results are discussed in light of their applicative relevance for the future development of the instrument.

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Authors and Affiliations

  1. University of Verona, Verona, Italy

    Daniela Raccanello & Caterina Bianchetti

Authors
  1. Daniela Raccanello
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  2. Caterina Bianchetti
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Corresponding author

Correspondence to Daniela Raccanello .

Editor information

Editors and Affiliations

  1. Department of Electric and Information Engineering, Monteluco di Roio, University of L’Aquila, L’Aquila, Italy

    Tania Di Mascio

  2. Computer Science Faculty, Free University of Bozen-Bolzano, Bolzano, Italy

    Rosella Gennari

  3. Department of Internal Medicine and Public Health, University of L'Aquila, L'Aquila, Italy

    Pierpaolo Vitorini

  4. Informatics Institute, Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    Rosa Vicari

  5. University of Salamanca, Salamanca, Spain

    Fernando de la Prieta

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Raccanello, D., Bianchetti, C. (2014). Pictorial Representations of Achievement Emotions: Preliminary Data with Children and Adults. In: Mascio, T., Gennari, R., Vitorini, P., Vicari, R., de la Prieta, F. (eds) Methodologies and Intelligent Systems for Technology Enhanced Learning. Advances in Intelligent Systems and Computing, vol 292. Springer, Cham. https://doi.org/10.1007/978-3-319-07698-0_16

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  • DOI: https://doi.org/10.1007/978-3-319-07698-0_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07697-3

  • Online ISBN: 978-3-319-07698-0

  • eBook Packages: EngineeringEngineering (R0)

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