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This study was intended to compare processing instruction (PI), an input-based approach to L2 grammar instruction developed by VanPatten (1996), with an output-oriented type of instruction (OI) to assess their relative effects on learners' ability to interpret and produce English causatives. A pretest and posttest (immediate and delayed effects) design was used. 151 university students from four intact classes were randomly assigned to three treatment groups of PI, OI, and EI (Explicit-information-only) and one uninstructed control group (C). Students were assessed on interpretation and controlled written production tasks at the sentence level. Within-group comparisons indicated that the three instructional options, as compared to the control group, resulted in some kind of knowledge gain in both interpretation and production tasks, but the gains were not equal. The results of between-group comparisons contradicted VanPatten's claims about the superiority of PI over OI. While PI and OI were equally better than EI on interpretation tasks, OI group outperformed both PI and EI on production tasks. No significant difference was found between PI and EI on production tasks. The same results were obtained after a one-month interval, reflecting the durability of the instructional effects on the interpretation and production of the target structure.

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Although a great deal of research has been done to probe the effects of task complexity variables on the specific features of L2 learners’ output along the resource-directing dimension of the Cognition Hypothesis (Robinson, 2001a, 2003, 2005), only a few studies (e.g. Gilabert, 2007 Robinson, 2001a, 2001b Yuan & Ellis, 2003) have explored the effects of the resource-dispersing variables of task complexity on L2 output. Neither is there a rich literature on the effects of mutual interaction of these variables and task condition variables on the output. In addition, few studies have directly involved learners in oral tasks on the contrary, most of the previous studies have focused on written tasks and the oral production resulting from the performances of those tasks. This study investigated the effects of resource-dispersing variables and task condition variables on the complexity of L2 output. To this end, Preliminary English Test (PET) and an interview were administered to 20 EFL learners. After ranking the scores from the highest to the lowest, two expert/expert pairs and two novice/novice pairs were chosen to perform four tasks. The tasks were sequenced from the least to the most complex and the pairs were required to perform each task at a session, one pair after another. Their performances were tape-recorded and transcribed, and the data were subjected to statistical analysis. The results of the study indicated that, no matter whether the pairs were novices or experts, their output became more and more complex as the tasks increased in complexity. This is incompatible with the claim made by the Cognition Hypothesis that task complexity along  the resource dispersing variables does not lead to the complexity of the output (Robinson, 2001a, 2005).

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Academic writing has tended to focus on research articles far more than on post-graduate theses (Bunton, 2005 Swales, 1990). Of the studies based on theses, relatively little research has focused on the generic structure of Suggestions for further research. To supplement the sparse knowledge in this area, the current study investigated the schematic structure (i.e., moves and steps) of Suggestions for further research andexplored the metadiscoursal features commonly used in this section of theses. The corpus included 80 PhD dissertations and 80 MA theses from Iranian universities in applied linguistics. The moves and the corresponding steps were identified and, for a detailed analysis, Hyland’s (2005) classification of metadiscourse was used. Findings revealed four moves in this part genre, named, Justification of the present study, Suggestions for repetition of the current study, Implications of the study, and The researcher’s hopes. The MA and PhD theses showed differences in the use of them. The results can broaden the understanding of the nature and function of this part genre and the way the metadiscoursal features are realized accordingly, the study can have important implications for students’ thesis writing. 

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In order to establish the why of noticing, it is imperative to empirically explore the factors that potentially mediate noticing. This study aimed to explore two factors that are believed to affect noticing:  the complexity of target structures and learners’ second language (L2) proficiency level. English relative clauses (RCs) were selected as the target structures, and Accessibility Hierarchy Hypothesis (AHH) was taken as the measure of the complexity of the RCs. A sample of 113 freshmen English language majors were selected as the participants of the study. A test of English RCs was developed as the placement test, and Key English Test (KET) was used to classify the participants into three groups of High (N=38), Mid (N=37), and Low (N=38) L2 proficiency level. Note-taking was used as the measure of noticing. After administering the RC test and the proficiency test, the participants were given a number of authentic reading texts containing instances of RCs and were required to take notes during reading activity. The non-parametric Friedman’s test demonstrated that the complexity of RCs positively affected the participants’ noticing while the non-parametric ANCOVA indicated that the participants’ L2 proficiency level had no significant effect on noticing. The findings of this study can be helpful to both teachers and material developers in providing learners with optimal conditions for noticing linguistic forms, which in turn, could facilitate L2 learning.

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This meta-analysis was conducted to synthesize the effect of 22 primary studies which have been conducted to test the effect of the integrated skills approach (ISA) on language skills and components. Three questions guide this analyses: What is the overall effect of ISA  on language skills and sub-skills? To what extent moderator variables such as learners level of education and proficiency modify the effect of  the ISA?  What is the magnitude of publication bias in this analysis? The overall effect size was found to be 1.18, which  represents a  large effect size based on Cohen, Manion and Morrison’ (2007) scale. The results of moderator analysis revealed that the ISA has the largest effect for advanced learners and at a tertiary level of education. The symmetrical funnel plot together with fail-safe N test shows that publication bias does not have any significant effect on the effect size reported in this study. The findings of this meta-analysis have clear implications for practitioners, policymakers, and curriculum developers.