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Technology integration in physical education : examining the physical education teachers' domain
(2016)
Physical education (PE), in the meantime, has evolved as school subject that willingly adapts to technology trends to foster student learning. Several efforts to nurture and facilitate technology integration in PE indicate the growth in interest in this topic over the past years: multiple physical education teacher education (PETE) programs, textbooks, and journal papers have adopted technology issues as a regular topic in the realm of PE research and practice. Although there are plenty of conceptual papers and technology teaching tips available in common publication outputs, empirical evidence on technology integration in PE is still a rare sight. Empirical evidence on technology integration in PE is still limited. However, available studies reported vastly positive findings, favorably of a mutual linking of technology and PE Scanning through the various articles that described pedagogical scenarios for technology integration in PE, five pedagogical scenarios that stand for a typical and most beneficiary use of technology integration in PE classes in regard to student learning: a) homework and theory, b) informational Input, c) learning stations, d) feedback, and e) physical activity tracking. Focusing on the PE teachers? perspective, two empirical studies were carried out. The theoretical framework consists of three building blocks: the a) significance of technology in everyday life and school, b) organizational development and agents of school development and change, and c) determinants of technology integration in schools and in the classroom ? emphasizing the teacher as an agent of change. The first study examined PE teachers? subjective theories toward technology integration in PE. Findings indicated that a) computer literacy, b) household computer ownership, c) professional experience, as well as d) gender had an effect on PE teachers? subjective theories toward technology integration in PE. The second study surveyed PE teachers? computer literacy, and instructional technology and media use in PE. The majority of the PE teachers seldom used technology in PE classes. PE teachers? computer literacy had a statistically significant effect on their technology use in PE class for information and communications technology (ICT) such as laptops, Internet, and digital cameras. PE teachers who showed higher levels of computer literacy were more likely to use technology in the classroom. However, the sample tended to consist of PE teachers that do not use technology often. No statistical relation was found for the link of PE teachers? computer literacy and the use of traditional media (e.g., printed images, chalkboard) in the classroom. Conclusively summing up the discussion, the following developmental areas in the field of technology can be posited: a) curriculum development, b) media database, c) documentation, d) empirical research, e) PE environment, f) dissemination, g) implementation strategies, and g) professional development and PETE. Nonetheless, several concerns against technology integration in PE can be stated: a) Physical activity levels and physical activity time, b) sedentary lifestyle, c) empirical evidence, d) unfiltered experience and alienation, and e) preparation time and budget.
Cognitive flexibility and cognitive stability : neural and behavioral correlates in men and mice
(2014)
The ability to flexibly adjust behavior according to a changing environment is crucial to ensure a species' survival. However, the successful pursuit of goals also requires the stable maintenance of behavior in the face of potential distractors. Thus, cognitive flexibility and cognitive stability are important processes for the cognitive control of behavior. There is a large body of behavioral and neuroimaging research concerning cognitive control in general, but also specifically on cognitive flexibility and cognitive stability, albeit most often assessed in separate task paradigms. Nevertheless, whether cognitive flexibility and cognitive stability depend upon separate or shared neuronal bases is still a matter of debate. Complementing empirical research, computational models have become an important strategy in neuroscientific research, as they have the potential of providing mechanistic explanations of empirical observations, for example by allowing for the direct manipulation of molecular parameters in simulated neural networks. The computational model underlying the so-called Dual-State Theory contains specific hypotheses with respect to cognitive flexibility and cognitive stability. The neural networks simulated by this model exhibit multiple stable firing states, i.e., the neural network can maintain a high firing state also without continuing external input due to a network architecture consisting of recurrently connected neurons. Transitions between such network states, also called attractor states, can be induced by external input, and represent working memory contents or active task rules. Simulations showed that the stability of these attractor states, and thus of task rule representations, depend on the dopamine state of the system and can consequently vary between persons. The Dual-State Theory predicts an antagonistic relationship between cognitive flexibility and cognitive stability, as robust attractor states would facilitate the inhibition of distractors, but impair efficient task switching, while rather unstable attractor states would promote efficient transitions between representations but would also come at the cost of increased distractibility.
Based on the Dual-State Theory, a task paradigm was designed allowing for the simultaneous assessment of cognitive flexibility, in the sense of rule-based task switching, and cognitive stability, in the sense of inhibiting irrelevant distractors. Furthermore, a behavioral measure was developed to assess the individual attractor state stability, named spontaneous switching rate (SSR). In the first study of this work, this paradigm was tested in a sample of healthy human subjects using functional magnetic resonance imaging (fMRI). An overlapping fronto-parietal network was activated for both cognitive flexibility and cognitive stability. Furthermore, behavioral as well as neuroimaging results are in favor of an antagonistic relationship between cognitive flexibility and cognitive stability. A specific prefrontal region, the inferior frontal junction (IFJ), was implied to potentially contain the relevant neural networks mediating the transitions between attractor states, i.e., task rule representations, as its activity was modulated by the SSR such that persons with rather unstable attractor states activated it less during task switching while showing better performance. Most importantly, functional connectivity of the IFJ was antagonistically modulated by the SSR: more flexible persons connected it less to another prefrontal area during task switching, while showing higher functional connectivity during distractor inhibition.
In a second study, a larger human sample was assessed and further hypotheses derived from the Dual-State Theory on variability of neural processing were tested: we hypothesized that persons with high brain signal variability should have less stable network states and thus benefit on tasks requiring cognitive flexibility but suffer from it when the task requires a higher degree of cognitive stability. Furthermore, recent fMRI-research on brain signal variability revealed beneficial effects of higher brain signal variability on cognitive performance in general. Using a novel customized analysis pipeline to measure trial-to-trial fMRI-signal variability, we indeed found differential effects of brain signal variability: higher levels of brain signal variability were found to be beneficial for effectiveness, i.e., performance in terms of error rates, for both cognitive flexibility and stability. However, brain signal variability impaired the efficiency in terms of response times of inhibiting distractors, i.e., cognitive stability.
Due to further predictions of the Dual-State Theory concerning schizophrenia and the dopaminergic system, it was considered valuable to pursue a translational approach and thus allowing for the employment of animal models of psychiatric diseases. Consequently, in a first step the human paradigm was translated for a murine population using an innovative touchscreen approach. Results showed analogous behavioral effects in wildtype mice as before in healthy humans: the antagonistic relation between cognitive flexibility and cognitive stability was replicated and also for mice, a behavioral measure for the individual attractor stability was established and validated, named the individual spontaneous switching score.
To conclude, we established a novel paradigm assessing both cognitive flexibility and stability simultaneously showing an antagonistic relationship between these two cognitive functions on the behavioral level in two different species, which supports predictions from the Dual-State Theory. This was further underlined by evidence on the activation, functional connectivity and signal variability level in the human brain.
Introduction: Postural control is a prerequisite to many everyday and sporting activities which requires the interaction of multiple sensorimotor processes. As long as we have no balance disorders, the maintenance of an erect standing position is taken for granted with automatic running control processes. It is well known that with increasing age or disease balance problems occur which often cause fall-related injuries. To assess balance performance, posturography is widely applied in which body sway is traditionally viewed as a manifestation of random fluctuations. Thus, the amount of sway is solely used as an index of postural stability, that is, less sway is an indication of better control. But, traditional measures of variability fail to account for the temporal organisation of postural sway. The concept of nonlinear dynamics suggests that variability in the motor output is not random but structured. It provides the stimulus to reveal the functionality of postural sway. This thesis evaluates nonlinear analysis tools in addition to classic linear methods in terms of age-related modifications of postural control and under different standing conditions in order to broaden the existing knowledge of postural control processes.
Methods: Static posturographic analyses were conducted which included the recording of centre of pressure (COP) time series by means of a force plate. Linear and nonlinear methods were used to quantify postural sway variability in order to evaluate both the amount and structure of sway. Classic time and frequency domain COP parameters were computed. In addition, wavelet transform (WT), multiscale entropy, detrended fluctuation analysis, and scaled windowed variance method were applied to COP signals in order to derive structural COP parameters. Two experiments were performed. 1) 16 young (26.1 ± 6.7 years), healthy subjects were asked to adopt a bipedal stance under single- and dual-task conditions. Three trials were conduced each with a different sampling duration: 30, 60, and 300 seconds [s]. 2) 26 young (28.15 ± 5.86 years) and 13 elderly (72 ± 7 years) subjects stood quietly for 60 s on five different surfaces which imposed different biomechanical constraints: level ground (LG), one foot on a step (ST), uphill (UH), downhill (DH), and slope (SL). Additional to COP recordings, limb load symmetry was assessed via foot pressure insoles.
Results: We found a higher sensitivity of structural COP parameters to modulations of postural control and partly an improved evaluation of sway dynamics in longer COP recordings. WT revealed a reweighing of frequency bands in response to altered standing conditions. Scaling exponents and entropy values of COP signals were task-dependent. Higher entropy values were found under the dual-task and condition ST. The time scales affected under the altered standing positions differed between groups and sway directions. Mainly larger posturograms were found in the elderly. Age effects were especially revealed in position ST and concerning medial-lateral COP signals. Load asymmetry was stronger in elderly subjects for LG, UH, and DH positions.
Discussion: Modifications of multiple time scales corresponds to an interplay of control subsystems to cope with the altered task demands. The affected time scales are age-dependent suggesting a change of control processes. Higher irregularity under the dual-task indicates a more complex motor output which is interpreted as less attentional investment into postural control. Larger complexity is evident for ST in contrast to LG position. ST obviously challenges lateral sway which is counteracted differently between groups. Load asymmetry suggests that especially elderly subjects adopt a step-initiation strategy.
Conclusion: A continued application of nonlinear methods is necessary to broaden the understanding of postural control mechanisms and to identify classifiers for balance dysfunctions. Structural COP parameters provide a more comprehensive indication of postural control system properties between groups and task demands. COP recordings of at least 60 s are recommended to adequately quantify COP signal structure. The analysis of postural strategies in everyday activities increases the ecological validity of postural control studies and can provide valuable information regarding the development of effective rehabilitation programs.