2022
DOI: 10.3389/fped.2022.886324
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Can dog-assisted and relaxation interventions boost spatial ability in children with and without special educational needs? A longitudinal, randomized controlled trial

Abstract: Children's spatial cognition abilities are a vital part of their learning and cognitive development, and important for their problem-solving capabilities, the development of mathematical skills and progress in Science, Technology, Engineering and Maths (STEM) topics. As many children have difficulties with STEM topic areas, and as these topics have suffered a decline in uptake in students, it is worthwhile to find out how learning and performance can be enhanced at an early age. The current study is the first … Show more

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Cited by 4 publications
(1 citation statement)
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References 102 publications
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“…Gaussian blur filter was also applied. The values of the parameters linked to these transformations were randomly applied in the following ranges using predefined probability distributions: rotation [ (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19), (341-357)]; shearing (− 0.16, 0.18); flips (left-right flip, rotation − 90, rotation − 270); contrast (0.6-2); sharpness (0.4-8); brightness (0.7-1.6); color balance (0.2-3.5) and Gaussian blur (1.05-2.9) 36,37 . As part of geometric transformations, face cropping and resizing predicted the boundaries of faces using the Haar Cascade method implemented in OpenCV 37,38 .…”
Section: Dataset Augmentation and Transformationsmentioning
confidence: 99%
“…Gaussian blur filter was also applied. The values of the parameters linked to these transformations were randomly applied in the following ranges using predefined probability distributions: rotation [ (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19), (341-357)]; shearing (− 0.16, 0.18); flips (left-right flip, rotation − 90, rotation − 270); contrast (0.6-2); sharpness (0.4-8); brightness (0.7-1.6); color balance (0.2-3.5) and Gaussian blur (1.05-2.9) 36,37 . As part of geometric transformations, face cropping and resizing predicted the boundaries of faces using the Haar Cascade method implemented in OpenCV 37,38 .…”
Section: Dataset Augmentation and Transformationsmentioning
confidence: 99%