ABSTRACT
In recent years, there has been considerable investment at the European Union level in expanding early childhood education and care (ECEC) facilities. In line with this quantitative substantial initiative, research and social policies are increasingly focusing on the quality of such facilities. High quality depends, among other things, on well-trained early childhood educators. This poses a dilemma for early childhood educators for various reasons; there is a shortage of skilled early childhood professionals, so that low-skilled staff are also being employed in early childhood education facilities. Online formats for professional development can contribute to the professionalisation of the ECEC system through vocational training. Since these formats are designed and produced to high professional and technical standards, they can be cost-effective thanks to their multiple uses and because they can often be completed by participants independent of time and location. This article presents an empirically studied blended e-learning training format based on the principles of co-constructivist didactics. The content focuses on the quality of interaction between early childhood professionals and children. Before and after the training course was completed, standardised non-participant observations were conducted in Austrian, German, Hungarian, Slovenian, Italian, and Portuguese early childhood education and care institutions. The before/after measurements (N = 43) showed a significant effect on the quality of interaction between the early childhood professionals and the children.
ABSTRACT
Wearable biomedical sensor technology enables reliable monitoring of physiological data, even in very young children. The purpose of the present study was to develop algorithms for gaining valid physiological indicators of sleep quality in toddlers, using data from an undisturbing and easy-to-use wearable device. The study further reports the application of this technique to the investigation of potential impacts of early touchscreen media use. Toddlers' touchscreen media use is of strong interest for parents, educators, and researchers. Mostly, negative effects of media use are assumed, among them, disturbances of sleep and impairments of learning and development. In 55 toddlers (32 girls, 23 boys; 27.4 ± 4.9 months; range: 16-37 months), ECG monitoring was conducted for a period of 30 (±3) h. Parents were asked about their children's touchscreen media use and they rated their children's sleep quality. The use of touchscreen media predicted the physiologically determined quality of sleep but not parent-reported sleep quality (such as sleep onset latency). Greater heart rate differences between restless sleep phases and restful sleep indicated poorer nighttime recovery in children with more frequent use of touchscreen media. The study demonstrates that the expert analysis of the ECG during sleep is a potent tool for the estimation of sleep quality in toddlers.
Subject(s)
Parents , Sleep , Child, Preschool , Electrocardiography , Female , Humans , Male , Problem SolvingABSTRACT
Recent developments in noninvasive electrocardiogram (ECG) monitoring with small, wearable sensors open the opportunity to record high-quality ECG over many hours in an easy and non-burdening way. However, while their recording has been tremendously simplified, the interpretation of heart rate variability (HRV) data is a more delicate matter. The aim of this paper is to supply detailed methodological discussion and new data material in order to provide a helpful notice of HRV monitoring issues depending on recording conditions and study populations. Special consideration is given to the monitoring over long periods, across periods with different levels of activity, and in adults versus children. Specifically, the paper aims at making users aware of neglected methodological limitations and at providing substantiated recommendations for the selection of appropriate HRV variables and their interpretation. To this end, 30-h HRV data of 48 healthy adults (18-40 years) and 47 healthy toddlers (16-37 months) were analyzed in detail. Time-domain, frequency-domain, and nonlinear HRV variables were calculated after strict signal preprocessing, using six different high-frequency band definitions including frequency bands dynamically adjusted for the individual respiration rate. The major conclusion of the in-depth analyses is that for most applications that implicate long-term monitoring across varying circumstances and activity levels in healthy individuals, the time-domain variables are adequate to gain an impression of an individual's HRV and, thus, the dynamic adaptation of an organism's behavior in response to the ever-changing demands of daily life. The sound selection and interpretation of frequency-domain variables requires considerably more consideration of physiological and mathematical principles. For those who prefer using frequency-domain variables, the paper provides detailed guidance and recommendations for the definition of appropriate frequency bands in compliance with their specific recording conditions and study populations.
