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Liina Adov Margus Pedaste Äli Leijen Miia Rannikmäe 《Technology, Pedagogy and Education》2020,29(4):511-526
ABSTRACT Studies show that technology can have a positive influence on student achievement and motivation; however, the use of technology for educational purposes is rather modest. Research has shown teachers’ attitudes to be a key aspect of technology use. However, there is no agreement on which attitudes we should focus on. The aim of the present study was to determine which attitudes may be differentiated empirically in a sample of STEM teachers in the context of mobile devices in teaching and to what extent these factors help to predict willingness to use mobile devices. The study was conducted among 377 STEM-subject teachers. The results showed that performance expectancy, effort expectancy and technology attitude are highly correlated for teachers. It would appear that social aspects (social influence and facilitating conditions) may serve as facilitators for teachers’ attitudes in the model, predicting 52.5% of teachers’ behavioural intention to use mobile devices for teaching. 相似文献
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Jaak Jürimäe Kristel Võsoberg Anna-Liisa Tamm Katre Maasalu Liina Remmel Vallo Tillmann 《European Journal of Sport Science》2017,17(7):867-873
Various inflammation parameters are increased with childhood obesity, but few comparable data are found in lean growing athletes. This study aims to characterize differences in 12 simultaneously measured inflammatory parameters between pubertal rhythmic gymnasts (RG) and untrained controls (UC), and to examine the relationship between body composition and inflammatory markers. Sixty 10–12-year-old girls were divided into RG (n?=?30) and UC (n?=?30). Fat mass (FM) and fat free mass (FFM) were measured by dual-energy X-ray absorptiometry. Leptin and 12 inflammatory parameters (interleukin [IL]-2, IL-4, IL-6, IL-8, IL-10, vascular endothelial growth factor, interferon-gamma [IFN-γ], tumor necrosis factor-alpha, IL-1α, IL-1β, monocyte chemotactic protein-1 and epidermal growth factor) were measured from fasting blood samples. No differences were seen in 12 inflammatory markers between studied groups. As expected, leptin (RG: 2.4?±?1.1; UC: 7.6?±?4.2?ng?ml?1) and FM (RG: 7.3?±?2.3; UC: 11.8?±?5.1?kg) were lower (p?<?.05) in RG compared to UC. In the whole group of lean pubertal girls, 69.0% of the variability in body FM was determined by leptin, and 11.2% of the variability in body FFM was explained by IFN-γ. In conclusion, measured 12 inflammatory biomarkers were not different between RG and UC, despite lower leptin and FM in RG. In lean pubertal girls, IFN-γ was independently associated with FFM, and leptin with FM. 相似文献
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