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For instance, behavioural data have shown correlation between improved performance in learning tasks performed following sleep periods and specific sleep variables (e.g., duration of the REM (rapid eye movement) and non-REM sleep).
These findings showed that the use of GeoGebra enhanced the students' performance in learning Coordinate Geometry.
Recently, unsupervised feature learning and deep learning methods have shown superior performance in learning efficient representation of images at multiple layers [24, 28 33].
Recent research suggests that non-linear, neural networks can achieve superior performance in learning efficient representation of images [22, 24, 28, 29].
Personalized Learning Environment for Nutrition (PLENut) is a multimedia prototype which is to increase student performance in learning Science subject using Personalized Learning Environment PLEE) approach.
The proposed hybrid learning algorithm achieves superior performance in learning speed and learning accuracy than those of some traditional genetic methods.
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This research aims to investigate the relationship between self-regulated learning awareness, learning behaviors, and learning performance in ubiquitous learning environments.
For example, discovering the groups of similar students is based on study performance in [11], learning behavior in [15], skill in [18], preference in [26], etc.
If we are to judge schools by student performance, we must do everything to make sure that increases in performance reflect increases in learning across the curriculum.
In comparison with persons with dementia they found significant differences, both in performance levels and in learning gains.
The three groups performed similarly by the sixth session, indicating that the observed group differences in performance reflected variations in learning ability.
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