The aim of this paper is to analyze the primary stress factors female professors at online universities are exposed to. The technique used for the prospective and exploratory analysis was the Delphi method. Two rounds of consultations were done with fourteen judges with broad experience in health and safety at work and university teaching who reached a consensus of opinion regarding a list of nine psychosocial risk factors. Among the most important risk factors, mental overload, time pressure, the lack of a schedule, and emotional exhaustion were highlighted. These risk factors are related to the usage and expansion of information and communication technology (ICT) and to the university system itself, which requires initiating more research in the future in order to develop the intervention programs needed to fortify the health of the affected teachers and protect them from stress and other psychosocial risks.

The purpose of this research is to carry out a systematic review of the existing scientific literature on the prevalence of Burnout in university professors in the time period 2005–2020. For that purpose, an exploratory review through the Web of Science (WoS) and Scopus related to this psychosocial syndrome under the PRISMA methodology has been made. After the application of the inclusion and exclusion criteria, a final group of 12 studies were obtained. The results show the presence of high levels of Burnout in a sample of 2,841 university professors in the period studied, which makes it necessary to implement psychosocial intervention programs to prevent this syndrome and promote the personal and professional accomplishment of teachers.

El aprendizaje autorregulado (self-regulated learning) ha recibido una atención creciente en las últimas décadas en la investigación psicopedagógica, en cuanto que su promoción en los estudiantes posibilita no sólo mejores resultados académicos, sino también una mayor autonomía y motivación, un claro protagonismo en su proceso de aprendizaje y una necesaria capacidad de transferencia a diferentes situaciones. En este contexto, el objetivo del presente artículo consiste en establecer teóricamente el estado actual de la cuestión en este campo, además de discutir acerca de las principales estrategias didácticas empleadas en la instrucción docente (enseñanza directa de estrategias, modelado, práctica guiada y autónoma, autoobservación, apoyo social y práctica autorreflexiva), atendiendo a su evolución hasta el momento actual. Finalmente, se señalan las líneas que deben contribuir actualmente al desarrollo de la investigación en este campo.

The diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) is mainly based on structured scales, such as Conners? ADHD Rating Scale (EDAH in the Spanish version) and DSM interviews. The use of technologies in neuropsychological assessment, such as the AULA virtual reality based test leads to more accurate diagnosis. The current study presents findings from analyzing the external validity of AULA and its contribution to the diagnosis of ADHD. Four hundred and seven children (272 girls and 135 boys) from 6 to 16 years old (213 with ADHD diagnosis, 105 inattentive children, 108 combined-type, and 194 controls) were evaluated. First, a factor analysis of AULA variables was conducted in order to reduce data to factor and 5 factors or components that account for 82.37% of the total variance were obtained from 407 subjects, namely, sustained attention, impulsivity control, processing speed, response variability, and control of motor activity. Second, a discriminant analysis was then performed on data obtained by participants from whom the five factors were obtained, showing that AULA presents moderate levels of both specificity and sensitivity. Finally, in order to study whether AULA adds relevant information in the diagnosis of ADHD, a cluster analysis was carried out, showing 4 clusters in the analysis of conglomerates with the control group and 6 groups of clusters in the ADHD group. In summary, AULA test shows adequate external validity, allows correct classification of children with and without attentional problems, and confirms and provides additional ADHD diagnostic information that it is essential for the design of interventions.

This cross-sectional study analyses the usage patterns of the new communication and information technologies (ICTs) and their relationship with visual discomfort and musculoskeletal diseases in an intentional sample of 1259 workers of Spanish organizations. The usage pattern with the greatest incidence of visual and muscular-skeletal disorders, especially in the wrist and neck, combines the use of laptops and desktops during long working hours. However, the group of workers primarily using mobile devices and working mostly at mobile posts does not appear to be particularly vulnerable to the musculoskeletal diseases and visual fatigue. The ratio of taking a short pause per hour and the implantation of certain technical and preventive measures is related to lower incidence of disorders in the workers as a whole. Current usage of ICTs is very complex and should be addressed using empirical analysis of the different forms of usage and their impacts on health.

The complexity of current organizations implies a potential overload for workers. For this reason, it is of interest to study the effects that mental workload has on the performance of complex tasks in professional settings. The objective of this study is to empirically analyze the relation between the quality of decision-making, on the one hand, and the expected and real mental workload, on the other. The study uses an ex post facto prospective design with a sample of 176 professionals from a higher education organization. Expected mental workload (Pre-Task WL) and real mental workload (Post-Task WL) were measured with the unweighted NASA-Task Load Index (NASA-TLX) questionnaire; difference between real WL and expected WL (Differential WL) was also calculated; quality of decision-making was measured by means of the Decision-Making Questionnaire. General quality of decision-making and Pre-Task WL relation is compatible with an inverted U pattern, with slight variations depending on the specific dimension of decision-making that is considered. There were no verifiable relations between Post-Task WL and decision-making. The subjects whose expected WL matched the real WL showed worse quality in decision-making than subjects with high or low Differential WL. The relations between mental workload and decision-making reveal a complex pattern, with evidence of nonlinear relations.