this study explored the effect of contrastive phrase resynthesis instruction ongaining the teachability hypothesis stages in self-paced versus time-constrained oralproduction and recognition. three groups (i.e., 23 learners) of high beginner femalelearners in an english language institute were randomly selected from a cohort oflearners. one group received contrastive metalinguistic instruction ...

Accurate task perception is an important prerequisite for self-regulated learning. The present study explores if 12-grade high school students (N=131) adapt their task definitions, goals and plans to task complexity when confronted with six differently complex tasks and if this process is related to their epistemic beliefs. Results indicate that students successfully discriminate between tasks ...

The quality of datasets is one the key factors that affect accuracy aerodynamic data models. For example, in uniformly sampled Burgers’ dataset, insufficient high-speed overwhelmed by massive low-speed data. Predicting more difficult than predicting data, owing to fact number limited, i.e. dataset not satisfactory. To improve datasets, traditional methods usually employ resampling technology pr...

this study was an attempt to investigate the comparative impact of two types of teaching approaches, namely content-based (cbi) and task-based (tblt) instruction on the reading comprehension of iranian efl learners. for this purpose, sixty intermediate students from a pool of eighty five students studying at a private language school were chosen using a piloted pet. the students were then rando...

This study builds on Laufer and Hulstijn’s (2001) motivational-cognitive construct of task-induced involvement in learning vocabulary and addresses itself to its strong claim that the depth of processing is the overriding factor in learning words. The paper first re-examines the effect of processing load and then of task type on the initial learning and retention of words. To do so, 60 EFL lear...

Motivated by multi-task machine learning with Banach spaces, we propose the notion of vector-valued reproducing kernel Banach spaces (RKBSs). Basic properties of the spaces and the associated reproducing kernels are investigated. We also present feature map constructions and several concrete examples of vector-valued RKBSs. The theory is then applied to multi-task machine learning. Especially, ...