Sentence examples for tasks drawing from inspiring English sources
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.
Specifically, tasks drawing upon executive processes would predict frontal WMH, while memory measures would predict temporal white matter lesions.
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).
Zeng and Martinez [13] proposed training a single MLP to approximate an ensemble of 10 small MLPs for several classification tasks drawn from the UCI data repository.
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).
In other words, WM load and perceptual-tracking tasks draw upon some shared mechanism, but their capacities for representations can be separated.
In this paper, we illustrate what these different levels of interaction can look like by presenting an analysis of tasks drawn from a physics course for biology majors.
We first present the theoretical framework and then apply it to illustrative tasks drawn from our examination of the IPLS course.
These differences in regional patterns may be explained by the fact that the tasks drew on different components of manual motor control.
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).
