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The light side of darkness?

The dark triad of personality as positive and negative predictors of L2 language learning

Published online by Cambridge University Press:  10 February 2025

Faramarz Ebn-Abbasi
Affiliation:
Department of Education and Social Work, University of Auckland, Auckland, New Zealand
Nazila Fattahi
Affiliation:
Department of Education and Social Work, University of Auckland, Auckland, New Zealand
Jean-Marc Dewaele
Affiliation:
Birkbeck, University of London, London, United Kingdom
Elouise Botes*
Affiliation:
University of Luxembourg, Institute for Cognitive Science and Assessment, University of Luxembourg, Esch-sur-Alzette, Luxembourg Luxembourg Center for Educational Testing, University of Luxembourg, Esch-sur-Alzette, Luxembourg
*
Corresponding author: Elouise Botes; Email: elouise.botes@uni.lu
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Abstract

The duality of human nature, consisting of positive and negative personality traits, has intrigued scholars in different fields. Despite an overwhelming dominance of research on positive characteristics, particularly in the field of education, negative traits, such as those constituting the Dark Triad (DT; i.e., Psychopathy, Narcissism, and Machiavellianism) have been confirmed to be associated with both positive and detrimental outcomes. This paper aims to investigate the potential influence of these aversive traits on second language (L2) learning outcomes—L2 learning motivation, engagement, achievement, and willingness to communicate. L2 learners from a single country (n = 431) participated in this study. Multiple structural equation models (SEMs) were run to analyze the links and the directionality of significant effects. Overall, among the undesirable DT traits, Psychopathy and Narcissism were both positive and negative predictors of the L2 outcomes, while Machiavellianism unexpectedly emerged solely as a positive predictor. The intricacy of the results underscores the vague nature of the effects, pinpointing the need for more caution while examining negative personality traits in education and the L2 contexts. Based on the results of this study, implications and directions for future research on DT and language learning are suggested.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Table 1. Descriptive statistics

Figure 1

Table 2. Manifest Pearson correlation matrix

Figure 2

Figure 1. L2 Selves Structural Equation Model.Note: ***p < .001; **p < .01; *p < .05.

Figure 3

Figure 2. L2 Engagement Structural Equation Model.Note: ***p < .001; **p < .01; *p < .05.

Figure 4

Figure 3. L2 Achievement Structural Equation Model.Note: ***p < .001; **p < .01; *p < .05.

Figure 5

Figure 4. L2 WTC Structural Equation Model.Note: ***p < .001; **p < .01; *p < .05.

Figure 6

Table 3. Summary of results

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