Publications

Authors:

Raccanello, Daniela; Brondino, Margherita; Pasini, Margherita

Title:

On-line assessment of pride and shame: Relationships with cognitive dimensions in university students

Year:

2015

Type of item:

Contributo in volume (Capitolo o Saggio)

Tipologia ANVUR:

Contributo in volume (Capitolo o Saggio)

Language:

Inglese

Format:

A Stampa

Book Title:

Methodologies and intelligent systems for technology enhanced learning

Publisher:

SPRINGER

ISBN:

978-3-319-19631-2

Page numbers:

17-24

Keyword:

Achievement emotions, Cognitive abilities, Learning environment design, Emotions for technology enhanced learning

Short description of contents:

We investigated some psychometric properties of an instrument developed to evaluate achievement emotions, focusing on pride and shame, with an on-line assessment. These emotions, as two moral emotions partially neglected by the literature, can also be categorized as achievement emotions, because of their salience within everyday academic life. The participants were 83 Italian university students. During their first year of university, we measured text comprehension; during their third year, we measured pride and shame (with the on-line version of the Brief-Achievement Emotions Questionnaire) and academic performance. Path analyses indicated the partial mediating role of the two emotions between text comprehension and academic performance, differing in study and test settings. A repeated-measure analysis of variance revealed higher levels of pride compared to shame, and of emotions associated with the evaluative setting. Such findings support the relevance of assessing emotions related to learning, for example monitoring them continuously through technological instruments.

Product ID:

87633

Handle IRIS:

11562/924908

Last Modified:

November 16, 2022

Bibliographic citation:

Raccanello, Daniela; Brondino, Margherita; Pasini, Margherita, On-line assessment of pride and shame: Relationships with cognitive dimensions in university students Methodologies and intelligent systems for technology enhanced learning , SPRINGER , 2015 , pp. 17-24

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