Educational inclusion and satisfaction of families of students with intellectual disabilities: a bibliometric study.

This bibliometric study scrutinizes the corpus of scientific output within the Web of Science pertaining to familial satisfaction among parents raising children with intellectual disabilities, focusing specifically on the milieu of educational inclusion. The analysis discerns a discernible ascension in scholarly interest in this domain, encapsulating 77 papers emanating from 75 journals, incorporating an aggregate of 3,497 cited references. Our investigation delineated 354 researchers across 39 nations, underscoring the transnational purview of this scholarly endeavor. The United States emerged as the pre-eminent contributor, with Canada and the United Kingdom following suit. Collaboration on an international scale was notably led by the US, with the UK and Australia trailing in tandem. Prominent institutions were identified for their scholarly output; the University of Kansas led with four papers, followed closely by Monash University, University of California Los Angeles, and University of California Riverside, each contributing three papers. Of particular note, the University of Kansas accrued 250 global citations (TGCS). A total of 75 journals were encompassed in this study. The Journal of Intellectual Disability Research emerged as the vanguard with four published papers, closely trailed by Child Care Health and Development and Exceptional Children. Notably, the latter boasted the highest impact factor (JCR = 4.09; Q1). In summation, this review proffers a meticulous and expansive overview of extant scholarship concerning the experiences of families rearing children with disabilities within the inclusive education framework.

Teachers at risk: Depressive symptoms, emotional intelligence, and burnout during COVID-19.

Background: Previous studies indicated that depressive symptoms are common among teachers due to job stress and difficulty in managing emotions. The aim of this research was to determine the levels of depressive symptomatology in a sample of secondary school teachers who worked during the COVID-19 pandemic and to analyze the relationships with their levels of burnout and emotional intelligence. Methods: The study involved 430 secondary school teachers residing in Madrid (Spain) who worked during the COVID-19 pandemic. Participants' age was between 25 and 60 (M = 41.40; SD = 11.07) and the gender distribution was 53.72% men and 46.28% women. We used the Spanish version of the Patient Health Questionnaire (PHQ-9), the Maslach Burnout Inventory Educators Survey (MBI-ES) and the Trait Meta-Mood Scale (TMMS-24). Results: The main results indicated that teachers presented high means of depressive symptomatology, with women obtaining higher scores than men. Significant relationships were also observed between the levels of depressive symptomatology and the dimensions of burnout and emotional intelligence. Finally, the three dimensions of emotional intelligence would contribute to the depressive symptomatology of teachers, while of the burnout dimensions only Emotional Exhaustion would make a contribution. Conclusion: The possible consequences of depressive symptomatology in teachers during the pandemic are discussed, as well as the need to enhance protective factors such as emotional intelligence and to study burnout levels.

How much do we care about teacher job insecurity during the pandemic? A bibliometric review.

In this study, a descriptive bibliometric analysis of the scientific production in the Web of Science on job insecurity perceived by teachers in pandemic situations was carried out. The result shows the growing interest in the topic with an upward trend with an annual growth of 41.52%. Forty-seven papers from 41 journals with 2,182 cited references were considered, with 149 researchers from 30 countries publishing at least one article. The country with the most publications was the United States, followed by Germany and Spain. The United States was the country with the most collaborations. A total of 95 institutions published papers, and the universities with the most registrations were Miami University and the University of the Basque Country, although York University and the University of the Basque Country had a higher overall citation coefficient (102 and 40, respectively). Of the 41 journals that have published on the topic, Frontiers in Education and the British Journal of Educational Psychology stood out in terms of their article numbers. However, this last one was superior in terms of the overall number of citations per year, followed by Frontiers of Psychology.

How Much Do We Care about Teacher Burnout during the Pandemic: A Bibliometric Review.

In this study, a descriptive bibliometric analysis of the scientific production was performed in the Web of Science on burnout and/or stress in teachers in pandemic situations. The aim of the study was to analyse the scientific production on stress and burnout in teachers during the COVID-19 pandemic. A total of 75 documents from 33 journals with 3947 cited references were considered, with 307 researchers from 35 countries publishing at least one article. The country with the most publications was the USA, followed by China and Spain. The USA was the country with the most collaborations. A total of 184 institutions published documents, and the universities with the most records were Christopher Newport and Columbia, although the American University of Sharjah and Cape Breton University had a higher overall citation coefficient. Of the 33 journals that have published on the subject, Frontiers in Psychology and the International Journal of Environmental Research and Public Health stood out in terms of the number of articles, and they were also listed in this order with regard to their impact factor.

Dialogic Learning Environments That Enhance Instrumental Learning and Inclusion of Students With Special Needs in Secondary Education.

Across Europe, the enrolment of students with special educational needs in regular classrooms is increasing, although it does not always mean access to high quality educational experience. In this context, inclusive education has been enhanced in most educational systems, but its successful implementation is still limited and has become a challenge in most countries, and specially in secondary education, when segregation due to learning achievement is more frequent. Educational practices that take into account the potential of promoting learning interactions within heterogeneous groups of students have already demonstrated contributing to educational inclusion of students with special needs. In this study we analyse the case of a secondary education school located in Valencian Community (Spain), which educates students with special needs along with their typically developing peers and is characterized by its inclusive ethos. The analysis focuses on three educational strategies implemented in the school and their impact on educational improvement and inclusion of the students with special needs: (1) co-teaching, (2) interactive groups, (3) dialogic literary gatherings. Qualitative data were obtained from communicative focus groups with teachers, communicative life stories with students and relatives, communicative observations of the three educational strategies and documentary analysis. The findings show significant increase in the students' instrumental learning, as well as an improvement in these students' overall inclusion in the school.

Color-Patterns to Architecture Conversion through Conditional Generative Adversarial Networks.

Often an apparent complex reality can be extrapolated into certain patterns that in turn are evidenced in natural behaviors (whether biological, chemical or physical). The Architecture Design field has manifested these patterns as a conscious (inspired designs) or unconscious manner (emerging organizations). If such patterns exist and can be recognized, can we therefore use them as genotypic DNA? Can we be capable of generating a phenotypic architecture that is manifestly more complex than the original pattern? Recent developments in the field of Evo-Devo around gene regulators patterns or the explosive development of Machine Learning tools could be combined to set the basis for developing new, disruptive workflows for both design and analysis. This study will test the feasibility of using conditional Generative Adversarial Networks (cGANs) as a tool for coding architecture into color pattern-based images and translating them into 2D architectural representations. A series of scaled tests are performed to check the feasibility of the hypothesis. A second test assesses the flexibility of the trained neural networks against cases outside the database.

Stay at Home and Teach: A Comparative Study of Psychosocial Risks Between Spain and Mexico During the Pandemic.

CONTEXT: The emergency situation caused by coronavirus disease 2019 (COVID-19) has affected different facets of society. Although much of the attention is focused on the health sector, other sectors such as education have also experienced profound transformations and impacts. This sector is usually highly affected by psychosocial risks, and this could be aggravated during the current health emergency. Psychosocial risks may cause health problems, lack of motivation, and a decrease of effectiveness at work, which in turn affect the quality of teaching. Despite their importance, there are hardly any studies that analyze psychosocial risks of non-university teachers during a health emergency such as that caused by COVID-19. OBJECTIVES: The aim of this study was to analyze the perception of COVID-19 and the psychosocial risks of non-university teachers comparing Spain and Mexico during the state of alarm caused by COVID-19. METHODS: Data were collected from 421 non-university teachers (80.2% women; 56.3% from Mexico, 43.7% from Spain) aged 24-60 (M = 39.32, SD = 10.21) via a self-completed questionnaire during the pandemic from March to April 2020. RESULTS: Data analysis suggests that inequity is the most important risk, followed by work overload. Teachers appear to be moderately satisfied with the information on COVID-19 and the measures taken, while their satisfaction with the available resources is lower. When comparing the two countries, significant differences can be observed in every risk considered except for social support, with lower levels in Mexican teachers compared to Spanish ones. In the case of the perception of COVID-19 and its impact, the perception in general of levels of information, measures, and resources is better among Mexican teachers than among Spanish ones, who present higher scores of the impact of the health emergency. CONCLUSION: The results underline the importance of the professional's perception of resources during a health emergency, which could prevent to some extent burnout and possible alterations associated with it. The measures taken by the responsible entities and the provision of information do affect teachers not only directly but also indirectly by making them more vulnerable to psychosocial risks that could affect their health and professional performance, thus affecting students as well.

Emotional Intelligence, Empathy, Self-Esteem, and Life Satisfaction in Spanish Adolescents: Regression vs. QCA Models.

Adolescence is a complex period, in which the individual is subject to profound emotional, physical, and psychological changes. Healthy development during adolescence is crucial for future positive development; self-esteem and life satisfaction are fundamental. The importance of sociodemographic variables (sex and age), empathy, and emotional intelligence (EI) on self-esteem and life satisfaction was studied, comparing complementary methodologies, regression models, and fuzzy-set qualitative comparative analysis (fsQCA) models. This is a cross-sectional design in a convenience sample of 991 adolescents (528 females, 53.3%; aged between 12 and 19 years; M = 14.01, SD = 1.40) from Spanish schools. Data were collected using the Rosenberg Self-Esteem Scale (RSES), the Satisfaction With Life Scale (SWLS), the Basic Empathy Scale (BES), and Trait Meta-Mood Scale (TMMS)24. The results of the regression models suggest that cognitive empathy, emotional clarity, and emotional repair are the main predictor variables for self-esteem. Meanwhile, the results of the fsQCA suggest that being older and low levels of cognitive empathy, emotional clarity, and emotional repair predict higher levels of self-esteem. On the other hand, life satisfaction in regression models is significantly predicted by the emotional clarity and emotional repair dimensions of the TMMS24 and self-esteem. Meanwhile, in the prediction of life satisfaction, the results of the fsQCA suggest that the most important interactions were high emotional clarity, emotional repair, and low self-esteem. As research has already shown, promoting empathy and EI leads to higher levels of self-esteem and life satisfaction.

Evo-Devo Strategies for Generative Architecture: Colour-Based Patterns in Polygon Meshes.

Parametric design in architecture is often pigeonholed by its own definition and computational complexity. This article explores the generative capacity to integrate patterns and flows analogous to evolutionary developmental biology (Evo-Devo) strategies to develop emergent proto-architecture. Through the use of coloured patterns (genotype) and the modification of polygonal meshes (phenotype), a methodological proposal is achieved that is flexible to changes and personalization, computationally efficient, and includes a wide range of typologies. Both the process and the result are oriented towards computational lightness for a future and better integration of the workflow in genetic algorithms. Flow-based programming is used to replicate genetic properties such as multifunctionality, repeatability and interchangeability. The results reinforce the biological strategies against other more computationally abstract ones and successfully execute the parallels of universal mechanisms in Evo-Devo that are present in life.

I'm Not Good for Anything and That's Why I'm Stressed: Analysis of the Effect of Self-Efficacy and Emotional Intelligence on Student Stress Using SEM and QCA.

Stress negatively affects the well-being and the quality of life of the society. Specifically in the academic context, it is relevant to analyze its levels due to its impact on performance and learning. There are factors that affect the said stress including, among others, self-efficacy, and emotional intelligence. The purpose of this study is to analyze how emotional intelligence and perceived self-efficacy affect student stress. In order to show this influence, two complementary methodologies are implemented: the structural equation models (SEMs) and the comparative qualitative analysis (QCA). A total of 477 students (85% of women) from a private University of Valencia participated in the study, with ages ranging from 18 to 53 years old (M = 21.57, SD = 3.68). The assessment instruments used were as follows: Emotional Intelligence Scale (TMMS-24) to measure emotional intelligence; General Self-Efficacy Scale (GSS) to measure self-efficacy; and Perceived Stress Scale (PSS) to measure stress. The results in the SEM endorse the hypotheses that emotional clarity and self-efficacy are negatively related to stress and positively related to emotional attention (EA), explaining 25% of the variance. The QCA results show that none of the variables is a necessary condition for inducing stress. Nevertheless, different combinations of these variables are sufficient conditions to explain 35% of the high stress levels. The most important combination over high stress levels seems to be the interaction between high levels of EA and low levels of self-efficacy. Regarding the low levels of perceived stress, there are sufficient conditions to explain 50% of them. Mainly, the most important interaction is between low levels of self-efficacy and low levels of EA. The comparison of both methodologies enables the broadening of new horizons at the methodological level applicable to different contexts.

Attitudes, Sentiments, and Concerns About Inclusive Education of Teachers and Teaching Students in Spain.

The Sentiments, Attitudes, and Concerns About Inclusive Education Revised scale was developed to close the existing gap in measuring perceptions of inclusive education in the educative context. It has been widely used in other cultures but not in Spain. Our objective has been to analyze the psychometric properties in the Spanish sample by studying their relationship with empathy and social dominance variables, finally taking into account sociodemographic variables to observe if there are differences. The scale was applied to a total of 647 subjects: 323 university-students (18-45 years) and 324 in-service teachers (35-58 years). The scale showed psychometric properties suitable for the general group, the students, and the teachers. Likewise, the female students showed a more positive attitude toward inclusion, and these attitudes were associated with empathy and social dominance. This version of the Sentiments, Attitudes, and Concerns about Inclusive Education Revised is a useful tool for measuring the inclusive attitudes of undergraduate education students and in-service teachers.

To be or not to be an inclusive teacher: Are empathy and social dominance relevant factors to positive attitudes towards inclusive education?

Positive inclusive teacher attitudes are a key factor in achieving inclusive education due to the many benefits they generate for schools and social contexts. Studies have focused on analysing which variables may promote positive attitudes. The objective of this study was to analyse the predictive power of sociodemographic variables, empathy (cognitive and emotional), and social dominance orientation (social dominance and opposition to equality) on teachers' attitudes, sentiments, and concerns about inclusion by comparing linear relationship models and models based on fuzzy-set comparative qualitative analysis. The sample consisted of 268 teachers of different educational levels aged between 20 and 64 years (M = 42.46, SD = 9.22), 66% of whom were women. The teachers were administered the Sentiments, Attitudes, and Concerns about Inclusive Education Revised (SACIE-R) scale, the Basic Empathy Scale (BES), and the Social Dominance Orientation (SDO) scale. Two different statistical methodologies were used: traditional regression models and fuzzy-set qualitative comparative analysis (QCA) models. The results of the regression models suggest that social dominance is the main predictor of attitudes, sentiments, and concerns about inclusion. Social dominance is negatively related to attitudes and positively related to sentiments and concerns. Only opposition to equality and emotional empathy are related to attitudes. On the other hand, the results of the QCA models suggest that low social dominance and high cognitive and emotional empathy, as well as female sex, predict higher levels of positive attitudes, sentiments, and concerns about inclusion. Since teachers interact most with students, it is important to be aware of how their empathy and social dominance orientations influence inclusion to develop intervention programmes that seek to train teachers in these capabilities.

Evo-Devo Algorithms: Gene-Regulation for Digital Architecture.

The majority of current visual-algorithmic architecture is constricted to specific parameters that are gradient related, keeping their parts' relation fixed within the algorithm, far away from a truly parametric modeling with a flexible topology. Recent findings around genetics and certain genes capable of shape conditioning (development) have succeeded in recovering the science of embryology as a valid field that connects and affects the evolutionary ecosystem, showing the existence of universal mechanisms that are present in living species, thus describing powerful strategies for generation and emergence. Therefore, a new dual discipline is justified: Evolutionary developmental biology science. Authors propose the convergence of genetics algorithms and simulated features from evolutionary developmental biology into a single data-flow that will prove itself capable of generating great diversity through a simple and flexible structure of data, commands, and polygonal geometry. For that matter, a case study through visual-algorithmic software deals with the hypothesis that for obtaining a greater emergence and design space, a simpler and more flexible approach might only be required, prioritizing hierarchical levels over complex and detailed operations.