Sentence examples for be predictive of learning from inspiring English sources

Importantly, baseline HTO frequencies observed during quiet waking and REM sleep have been shown to be predictive of learning rates across rodents [32].

However, we found patterns of time-averaged T2*-weighted signal in the nucleus accumbens not to be predictive of individual learning success.

Because collaborative learning includes both epistemic and social components (Fischer et al. 2002) and these have been shown to be predictive of collaborative learning results (Cohen 1994; Fischer et al. 2002), Weinberger et al. (2005) developed and tested the use of epistemic and social scripts to support collaborative learning.

Together these findings suggest that even minor shifts in activity can be predictive of deficits in learning when put in the framework of a well-designed mechanistic model.

It is possible that the emotional processes preferred by the UG students in response to stress, could be classified as negative emotional responses which Trigwell et al. found to be predictive of a surface approach to learning [ 42].

The study focused exclusively on students currently working on their dissertations with results indicating that low feelings of student-to-student and student-to-faculty connectedness in the learning environment may be predictive of departure from the program.

While self-report data is dependent on the experiences and prior knowledge of the student, such data are valuable in helping to determine changes in the perception of student learning, and can be predictive of performance (Assor and Connell 1992).

We tested whether preoperative verbal learning and design learning scores would correlate with and therefore be predictive of change in verbal and visual memory.

How to cite this article: Badura, A. et al. Modeled changes of cerebellar activity in mutant mice are predictive of their learning impairments.

In this paper we first carefully quantify the extent to which our model is predictive of behavioral impairments in learning the VOR reversal training in five mutant lines with cerebellar cortical deficits (GC-ΔKCC2 GC-ΔKCC2 PC-Δγ2C2, PC-ΔKCC2 and GC-ΔCACNA1A mice).

Here, we asked whether spontaneous fluctuations in sensorimotor networks at baseline were predictive of individual differences in future learning.