The Identity Crisis in Language Motivation Research

2020 ◽  
Vol 40 (1) ◽  
pp. 136-153 ◽  
Author(s):  
Ali H. Al-Hoorie ◽  
Phil Hiver ◽  
Tae-Young Kim ◽  
Peter I. De Costa

The 40th anniversary of the Journal of Language and Social Psychology occurs around the corner of another anniversary, the language motivation field reaching 60 years. At this occasion, we pause to reflect on the contribution of language motivation research to language teaching practice. We argue that this contribution has been negligible and put forward two main reasons. The first is related to an identity crisis in the language motivation field, falling at the intersection of applied linguistics, education, and psychology; the second is the marginalization of the role of context. To address these issues, we first present insights from two perspectives—sociocultural theory and complex dynamic systems theory—and then propose three solutions to incorporate these insights: (1) moving from the abstract notion of “motivation” to the more tangible construct of “engagement”, (2) encouraging rigorous transdisciplinary research, and (3) taking advantage of the potential of artificial intelligence to translate research findings into practice.

2021 ◽  
Vol 7 (s2) ◽  
Author(s):  
Marjolijn Verspoor ◽  
Wander Lowie ◽  
Kees de Bot

Abstract In recent studies in second language (L2) development, notably within the focus of Complex Dynamic Systems Theory (CDST), non-systematic variation has been extensively studied as intra-individual variation, which we will refer to as variability. This paper argues that variability is functional and is needed for development. With examples of four longitudinal case studies we hope to show that variability over time provides valuable information about the process of development. Phases of increased variability in linguistic constructions are often a sign that the learner is trying out different constructions, and as such variability can be evidence for change, and change can be learning. Also, a limited degree of variability is inherent in automatic or controlled processes. Conversely, the absence of variability is likely to show that no learning is going on or the system is frozen.


Author(s):  
Phil Hiver ◽  
Ali H. Al-Hoorie ◽  
Diane Larsen-Freeman

Abstract Complexity theory/dynamic systems theory has challenged conventional approaches to applied linguistics research by encouraging researchers to adopt a pragmatic transdisciplinary approach that is less paradigmatic and more problem-oriented in nature. Its proponents have argued that the starting point in research design should not be the quantitative–qualitative distinction, or even mixed methods, but the distinction between individual versus group-based designs (i.e., idiographic versus nomothetic). Taking insights from transdisciplinary complexity research in other human and social sciences, we propose an integrative transdisciplinary framework that unites these different perspectives (quantitative–qualitative, individual–group based) from the starting point of exploratory–falsificatory aims. We discuss the implications of this transdisciplinary approach to applied linguistics research and illustrate how such an integrated approach might be implemented in the field.


2018 ◽  
Vol 13 (2) ◽  
pp. 185-207 ◽  
Author(s):  
Yanping Dong

Abstract Students of interpreting training may go through drastic cognitive changes, but current empirical findings are disparate and isolated. To integrate these findings and to obtain a better understanding of interpreting training, the present article tries to reinterpret students of interpreting training as complex dynamic systems. Relying primarily on longitudinal empirical data from several existing studies, the article illustrates how the initial state of some key parameters influences the progress of the systems, how the parameters themselves evolve, and how interpreting competence develops as a result of self-organization. The hope is that a metatheoretical framework such as Dynamic Systems Theory will allow specific findings and particularistic models for interpreting training to be integrated. Moreover, this approach may allow false dichotomies in the field to be overcome and seemingly contradictory data in empirical reports to be better understood, thereby providing guidelines for future research.


Author(s):  
Déborah Salves ◽  
Paolla Wanglon ◽  
Ubiratã Kickhöfel Alves

The aim of this study is to investigate the effect of familiarity with Brazilian-accented English (L2) in the intelligibility of speech samples when judged by native English listeners. Speech samples were collected from five native Brazilian Portuguese individuals from Southern Brazil, with a pre-intermediate level of proficiency in English. Following a Complex Dynamic Systems account (De Bot et al., 2007), this is a longitudinal study in which a group of four British listeners participated in weekly intelligibility transcription tasks, applied over the course of five weeks. This group was comprised of individuals who had recently arrived in Brazil. Results suggest that familiarity with a speaker’s L1 and accented-L2 has an effect on the intelligibility of what is heard. From the perspective of Complex Dynamic Systems, we argue that there is an alteration of a listener’s perception of his/her own language system due to exposure to it as an L2.


Author(s):  
Conny Opitz

This chapter discusses the methodological challenges associated with studying personal background variables in first language (L1) attrition from the perspective of Complex Dynamic Systems Theory (CDST). It starts with a review of extant research which, despite concerted efforts to design rigorous, comparable studies, to date has not turned up strong, unambiguous predictors for L1 attrition. I argue that this failure lies in the nature of language as a complex dynamic system, and consequently in the properties of variables, their interaction, and varying contribution to the process and outcome of L1 attrition, and indeed to L1 and L2 (second language) acquisition in the larger context of multilingual development. CDST provides a challenge not just for common empirical and analytical approaches to attrition, but for the very notion of ‘predictor’. The chapter concludes by discussing some ways in which the current stalemate may be overcome.


Author(s):  
Robert W. Holt ◽  
Edward Meiman ◽  
Thomas L. Seamster

Accurate assessment of team performance in complex, dynamic systems is difficult, particularly teamwork such as Crew Resource Management (CRM) in aircraft. Seventy pilots from two fleets were evaluated as two-person crews by a Maneuver Validation (MV), which focused on proficiency on separate maneuvers, and by a Line Operational Evaluation (LOE), which focused on the crew flying a simulated line flight. Instructor/Evaluator (I/E) pilots helped design LOE content and a structured evaluation worksheet. I/E reliability training resulted in high evaluator agreement (average rwg = .80) and acceptable inter-rater correlations (average r = .54). Path analysis supported the assessment flow from Observable Behaviors to Technical and CRM performance to Captain (PIC), First Officer (SIC), and Crew evaluations for each event set. Fleet evaluations were different on the LOE assessment, but equivalent on the MV assessment. Detailed analysis of assessments also indicated a different role of the SIC across fleets. One fleet assessed SIC more on CRM performance and weighted SIC performance more in evaluating Crew performance. The other fleet assessed SIC on technical performance and weighted SIC performance less in evaluating Crew performance.


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