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, Elsa Tragant Mestres de la Torre (dir. tes.) , John M. Norris (dir. tes.) , Marije C. Michel (secret.) , Sarah Khan (voc.) In the domain of task-based language teaching (TBLT), researchers have long been interested in exploring the impact of internal task features and conditions on a range of outcomes, such as the occurrence and frequency of conversational episodes (between-participant interaction), interlanguage variation at a particular point in time (performance), and interlanguage transformation over time (development). In the cognitive strand of TBLT explorations, most of the theorizing, and subsequent empirical work, have been guided by the notion of cognitive task complexity, and two particularly influential frameworks have been the Trade-off Hypothesis (Skehan, 1996a, 1998) and the Cognition Hypothesis (Robinson, 2001, 2003). An area which received particular interest from researchers has been determining whether universal task design features exist which systematically influence learners’ interlanguage in predictable ways. However, most research carried to date has focused solely on the impact of task complexity by employing a dichotomy of hypothetically simple and complex tasks, rather than a sequence of tasks. Moreover, in the TBLT domain the role of individual differences, for example L2 proficiency, has been a largely underrepresented construct in both conceptual and empirical work. Given this state of affairs, the objective of the current study was three-fold. First, it aimed to contribute further evidence to the role of task complexity on performance, as measured by general and specific fluency, complexity, and accuracy measures. Second, by employing three tasks of different cognitive complexity levels, rather than a dichotomy, it set out to explore short-term effects of simple-complex task sequencing. Third, it enquired about the role of L2 proficiency by investigating the production of two groups of participants at different stages of competence, as identified through a placement test. In order to address the aforementioned issues, three tasks of different cognitive complexity levels were developed, identified through Needs Analysis (Long, 2005, 2006), and validated by means of participants’ subjective ratings. Cognitive complexity in these tasks was manipulated along two variables form Robinson’s (2005, 2007) Triadic Componential Framework: ±number of elements, and ±reasoning demands. The participants in the study (N=117), were divided into three groups: 1) simple—complex sequencing (N=30), 2) randomized sequencing (N=30), and 3) individual task performance, in which different speakers performed the tasks in its simple, complex, and very complex condition (N=18, N=19, and N=20, respectively). In the sequencing groups, half of the participants were classified as “low proficiency” and half as “high proficiency”. The results of the dissertation have contributed further evidence to the role of cognitive task complexity on performance, with accuracy and lexical complexity being the areas which have shown an increase when task demands were high. The findings revealed a potential role of simple-complex sequencing in promoting more target-like output, but at the same time it was demonstrated that tasks performed in alternative orders presented advantages in other areas of performance: speech rate and lexical complexity. Regarding proficiency, while high proficiency speakers took advantage of increases in cognitive complexity in terms of accuracy, low proficiency speakers did so at the level of structural complexity. The findings obtained were discussed in light of the theoretical task complexity and sequencing models which have guided this work, as well as in light of speech production attention allocation models, and where possible, they were contextualized in light of previous work.
