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System
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://doi.org/10.2139/ssrn.4...
Article . 2023 . Peer-reviewed
Data sources: Crossref
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Can L2 Motivation Be Modelled as a Self-System? A Critical Assessment

Authors: Henry, Alastair; Liu, Meng;

Can L2 Motivation Be Modelled as a Self-System? A Critical Assessment

Abstract

Some two decades ago, Dörnyei (2005) proposed that motivation for L2 learning could be modelled as a self-system. Despite the profound influence of Dörnyei’s scholarship and impact of the L2 Motivational Self System (L2MSS) model, the fundamental premise that motivation for L2 learning can constitute a self-system has escaped critical scrutiny. Highlighting how the self-system constitutes a framework within which self-referential cognition is organized, and that self-appraisal occurs in relation to socially-derived standards (Bandura, 1978; Higgins, 1990), this article critically assesses the utility of a self-system conceptualization. This is accomplished by addressing five problem areas connected with the L2MSS and which relate to the model’s self-system conceptualization: the “fantasy problem” (nondifferentiation of desire and fantasy), the “ought-to L2 self problem” (unspecificity of relevant others and internalization processes), the “integrativeness problem” (difficulty of incorporating affiliation motives), the “learning experience problem” (failure to account for relational and biographical influences), and the “context problem” (inadequate modelling of learner–environment interactions). Critical engagement with these problem areas demonstrates how the self-system conceptualization embodied in the L2MSS is tightly circumscribed, and how a self-regulatory system framework can provide greater utility. 

CC BY 4.0

Country
Sweden
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Keywords

General Language Studies and Linguistics, Self-referential cognition, Standards, Jämförande språkvetenskap och allmän lingvistik, Self-regulatory system, Self-regulation, L2 motivational self system

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 1%
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