Sentence examples for training efficacy from inspiring English sources

Thus, in our research we particularly interested in investigating training in immersive 3D virtual environments, and the effects of individual differences in visual imagery ability on training efficacy.

The proximity to training of the music performances within the last session likely compromised gains from A/T learning, but perhaps reinforced the impact of SMR training efficacy.

Planning tailoring options requires instructional expertise on the training efficacy tightly unified with knowledge of the technical capabilities of the system, as well as attention to maintaining narrative coherence and consistency.

The neural network training was performed using genetic algorithms associated with standard back-propagation, in order to improve the training efficacy, eliminating the effect of random initial weights estimates.

However, they have difficulty in enhancing training efficacy due to limited information delivery for field operators (FOPs).

Nazir et al. (2015) evaluated and validated the training efficacy by applying this model to FOPs directly.

By modeling the likely confusions in the ASR output instead of using just the 1-best, we improve self-training efficacy by obtaining a more reliable reference transcription estimate.

Issues such as accessibility and acceptability of services, compliance with training and efficacy of the intervention need to be considered when implementing any model of service delivery.

The theoretical framework of OHE in the three educator-led strategies was based on the constructs of social cognitive theory including vicarious learning, active participation, skill training, self efficacy, reinforcement and social support [ 14].

More work (notably, longitudinal work) is necessary in order to define relationships between music aptitude, literacy and the auditory brainstem response to speech as well as to determine the impact of formal training, the efficacy of specific training approaches and/or literacy remediation programs.

Once a suitable classification algorithm has been trained, its efficacy has to be assessed by predicting the diagnostic groups of subjects in a test set and comparing them against the true values.