It is not how much you have but how you use it: toward a rational use of simulation to support aviation training

One of the most remarkable changes in aviation training over the past few decades is the use of simulation. The capabilities now offered by simulation have created unlimited opportunities for aviation training. In fact, aviation training is now more realistic, safe, cost-effective, and flexible than ever before. However, we believe that a number of misconceptions--or invalid assumptions--exist in the simulation community that prevent us from fully exploiting and utilizing recent scientific advances in a number of related fields in order to further enhance aviation training. These assumptions relate to the overreliance on high-fidelity simulation and to the misuse of simulation to enhance learning of complex skills. The purpose of this article is to discuss these assumptions in the hope of initiating a dialogue between behavioral scientists and engineers.     

One-year prediction of cognitive decline following cognitive-stimulation from real-world data

Clinical evidence based on real-world data (RWD) is accumulating exponentially providing larger sample sizes available, which demand novel methods to deal with the enhanced heterogeneity of the data. Here, we used RWD to assess the prediction of cognitive decline in a large heterogeneous sample of participants being enrolled with cognitive stimulation, a phenomenon that is of great interest to clinicians but that is riddled with difficulties and limitations. More precisely, from a multitude of neuropsychological Training Materials (TMs), we asked whether was possible to accurately predict an individual's cognitive decline one year after being tested. In particular, we performed longitudinal modelling of the scores obtained from 215 different tests, grouped into 29 cognitive domains, a total of 124,610 instances from 7902 participants (40% male, 46% female, 14% not indicated), each performing an average of 16 tests. Employing a machine learning approach based on ROC analysis and cross-validation techniques to overcome overfitting, we show that different TMs belonging to several cognitive domains can accurately predict cognitive decline, while other domains perform poorly, suggesting that the ability to predict decline one year later is not specific to any particular domain, but is rather widely distributed across domains. Moreover, when addressing the same problem between individuals with a common diagnosed label, we found that some domains had more accurate classification for conditions such as Parkinson's disease and Down syndrome, whereas they are less accurate for Alzheimer's disease or multiple sclerosis. Future research should combine similar approaches to ours with standard neuropsychological measurements to enhance interpretability and the possibility of generalizing across different cohorts.     

Are the categorical laws of ontology metaphysically contingent?

Philosophical Studies - Are the categorical laws of ontology metaphysically contingent? I do not intend to give a full answer to this question in this paper. But I shall give a partial answer to...     

What Does the Right to Education Mean? A Look at an International Debate from Legal,Ethical, and Pedagogical Points of View

Working from a concept of politics of education that encompasses legal,ethical and pedagogical levels of analysis, this paper presents theresults of a field work project on the meaning and current state of theright to education with a larger philosophical discourse. Talk ofeducation as a human right presupposes taking part in a horizon ofinterpretation. Projected is a view of person as a subject, i.e., assomeone not only placed in a specific context, but also as someone whois capable of distancing him/herself from local and culturalconditioning.     

The Use of Mobile Devices in High‐stakes Remotely Delivered Assessments and Testing

With Internet access no longer restricted to desktop and laptop computers, job applicants now have the opportunity to complete remotely delivered assessments on mobile, handheld small screen devices such as smartphones, and personal digital assistants. In this study, a large dataset is used to investigate demographic and score differences between job applicants who completed a remotely delivered high‐stakes assessment on a mobile device and those who completed it on a nonmobile device. Based on a sample of 3,575,207 job applicants who completed an unproctored Internet‐based assessment between January 2011 and April 2012, the percentage of applicants completing the assessment on a mobile device was small, 1.93%, but nevertheless represented more than 69,000 people. Overall, there were small test‐taker demographic differences in the use of mobile devices versus nonmobile devices in that mobile devices were slightly more likely to be used by women, African‐Americans and Hispanics, and younger applicants. Scores on a personality measure were similar for mobile and nonmobile devices but scores on a general mental ability test were substantially lower for mobile devices. Tests of measurement invariance also indicated equivalence across the mobile and nonmobile samples. Test taker and organizational implications for completing remotely delivered high‐stakes noncognitive and cognitive assessments on mobile versus nonmobile devices are discussed.     

The comparative effectiveness of distributed and colocated team after-action reviews

Despite their frequent use in the military and private sectors, the comparative effectiveness of colocated and distributed after-action reviews (AARs) is relatively unknown. Consequently, this study examined the comparative effectiveness of colocated and distributed AARs across taskwork and teamwork outcomes. Data were obtained from 492 participants randomly assigned to 123 four-person teams who participated in one of six AAR conditions. The results indicated that teams in the AAR conditions had significantly higher performance and team efficacy scores than the teams in the non-AAR conditions. In summary, the findings highlight that regardless of the training environment or type of AAR, the AAR remains an effective method at increasing performance and other outcomes. Therefore, the use of distributed AARs does not engender the posited process losses that were hypothesized.     

Building Life Satisfaction Through Well-Being Dimensions: A Longitudinal Study in Children with a Life-Threatening Illness

Recent literature suggests that people increase their life satisfaction over time as a result of developing positive psychological resources (e.g. benefit finding). However, this hypothesis has not yet tested in children. Since suffering from illness is usually associated with challenge and growth, we hypothesized that changes in life satisfaction in a sample of ill children would depend on to what extent they developed resources. Children with a life threatening illness (N = 67 at T1 and N = 49 at T2, ages 7–18 years) completed the Student Life Satisfaction Scale, a measure of health-related functioning problems, a measure of positive emotions (PE), the Benefit Finding Scale for Children, and a measure of strengths from the Values in Action Inventory of Character Strengths for Youth. The same measures were assessed 6 months after the first assessment. Using structural equation modeling techniques, results revealed that health-related functioning problems were associated with negative changes in life satisfaction over time. Moreover, increases in benefit finding and character strengths (i.e., love and gratitude) predicted positive changes in LS over time. Finally, PE predicted changes in benefit finding over time through several personal strengths (i.e., vitality and gratitude). The development of positive psychological resources in children experiencing high levels of stress may promote desirable psychological outcomes. Therefore, in order to help clinicians prevent negative outcomes, future research should strive to better understand life satisfaction and its underlying predictors in children experiencing difficult life circumstances.     

Socio-Cultural Determinants of Physical Activity among Latin American Immigrant Women in Alberta,Canada

Acculturation has been associated with decreased physical activity among immigrants. This study assessed the process of changing physical activity patterns within the context of Latin American immigrant women’s migration experiences to Canada. Using the ecological model of health promotion, we applied a mixed methods research design. Thirty-six Latin American immigrant women, 18 recent (<10 years in Canada) and 18 non-recent (>10 years in Canada), participated. Six focus groups and 14 in-depth individual interviews were conducted. The Godin Leisure-Time Exercise Questionnaire was administered. Overall, 86 % of the participants reported gaining weight since coming to Canada. Participants reported becoming more sedentary upon arriving in Canada. Only 27.3 % of recent and 41.7 % of non-recent immigrant women were considered sufficiently physically active. Lack of time, resources, social support, and migration stress were identified as key barriers to physical activity. Migration stress associated with social integration barriers strongly influence physical activity among Latin American immigrant women.