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The application form requires you to complete written tasks drawing on pedagogic and specialist subject skills, knowledge and experience.
In addition, a prominent account of dual-task performance, multiple resource theory, argues that resource competition between tasks drawing on similar processing resources will decrease performance (Wickens, 1981 , 2002.
This is consistent with previous research from Priftis, Zorzi, Meneghello, Marenzi, and Umilta (2006) showing that spatial numerical impairments in neglect are only found in tasks drawing on explicit number knowledge (e.g., mental number line bisection) but not implicit number knowledge (e.g., spatial numerical association of response codes, or SNARC).
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These differences in regional patterns may be explained by the fact that the tasks drew on different components of manual motor control.
"I don't know," said the man supervising the task, drawing on a succession of cigarettes as he watched the work.
This paper puts these arguments into the context of the train driving task, drawing on an extensive analysis of driver performance with the Automatic Warning System (AWS).
This suggests that the present task draws on primitive shape-encoding mechanisms that put a premium on very tight temporal proximity within a stimulus pattern.
This task drew on adult CBM-I studies that deployed mental imagery to enhance the effects of negative and positive training [ 26, 33, 40].
Although short and simple, values-affirmation writing tasks draw directly on students' experiences to actively engage each student as an individual (Yeager and Walton, 2011) and may promote deep processing to effect powerful results (Schwartz and Martin, 2004; Chase et al., 2009).
The popular computer game "Tetris" has been demonstrated to be a visuospatial task [27] [30], drawing on mental rotation and the type of processing we recruit when forming mental images.
We demonstrate the analysis on three simplified tasks as well as eight more complex memory tasks drawn from the animal and human literature (two alternation tasks, two sequence disambiguation tasks, two non-matching tasks, the 2-back task, and the 1-2-AX task).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com