Some studies have even failed to show that deep learning approaches correlated with better performance in applied MCQ's and a written course project, both of which required high level cognitive performance [ 84, 85], though, a significant finding was that a surface learning strategy appeared deleterious for both factual and applied MCQ scores [ 85].
Eivazi and Bednarik (2011) proposed the use of real-time tracking of users' visual attention patterns to model users' high-level cognitive states and performance.
The reason for this is that the DMN is a network that is strongly responsive during performance of high-level cognitive tasks (as opposed to simply low-level visual and motor activity) and is a highly distributed network, the function of which has yet to be conclusively determined.
It is of interest that for high-level cognitive skills requiring integration of many brain areas, ventricular size was the best correlate of performance [ 39].
Language is a high-level cognitive process that involves semantic and phonological processes, and requires access to memory representations during task performance.
Using the DISCERN system as an example, he describes a general approach to building high-level cognitive models from distributed neural networks and shows how the special properties of such networks are useful in modeling human performance.
The series covers low-level sensory, attentive, perceptual and motor processes, and high-level cognitive functions including learning, memory, language, communication, decision, thinking, cognitive control and action planning.
In healthy older people a high level of physical activity coincides with a high level of cognitive performance, such as speed of information processing, attention [ 1], and executive functions (EF) [ 2].
Girls and children with higher levels of cognitive performance are hypothesized to benefit more from the intervention.
There are some studies conducted by other authors 25 who used the NHP scale in people over 65 years showing a high level of cognitive performance (MMSE average: 26.1 p).
In-class activities that focus on higher level cognitive activities.
