Cyberbullying and Psychopathological Behaviors in Spanish Secondary Education Students.

Cyberbullying is considered a serious health problem that mainly affect adolescents, with different characteristics depending on the role in which they are directly involved. The objective of our research was to analyze the sociodemographic characteristics and psychopathological behaviors among the roles of those involved in cyberbullying (victims, aggressors, bystanders and aggressive victims). The study participants were 280 students aged between 12 and 17 years (61.8% female) from the Region of Murcia, Spain. The Cyberbullying Screening of Bullying among Peers, the Clinical Analysis Questionnaire and a sociodemographic survey were used. Hierarchical regression analysis was used. This study showed that the roles of those directly involved in cyberbullying correlate with psychopathological behaviors. It is a priority to promote prevention programs aimed at improving cyberbullying among students.

Predicción de la resiliencia docente mediante redes neuronales artificiales:influencia del burnout y del estrés por COVID-19 / Predicting teacher resilience by using artificial neural networks: influence of burnout and stress by COVID-19

Antecedentes: La resiliencia en el profesorado permite afrontar situaciones difíciles y reponerse a la adversidad existiendo diferencias de género al respecto. Asimismo, la inteligencia artificial y las técnicas asociadas a ella han resultado ser de gran utilidad para predecir variables educativas y estudiar la interconexión entre ellas tras la COVID-19. Dicho esto, el objetivo general de esta investigación fue predecir los niveles de resiliencia en las profesoras y profesores de Secundaria a través del diseño de una red neuronal artificial (RNA). Método: Se administró la Escala Breve de Afrontamiento Resiliente, el Inventario de Burnout de Maslach y el Cuestionario de Estrés frente a la COVID-19 a 401 docentes de secundaria (70.6% mujeres) de centros educativos del sureste español, con una edad media de 44.36 años (DT= 9.38). Resultados: Se hallaron diferencias en la configuración de los modelos predictivos de la resiliencia entre profesoras y profesores contribuyendo las variables independientes en diferente grado en función del género. Conclusiones: Se pone de manifiesto la utilidad de las RNA en el ámbito educativo y la necesidad de diseñar programas más ajustados.(AU)

Background:Resilience in teachers allows them to face difficult situations to recover from adversity and there are gender differences. Likewise, artificial intelligence and the techniques associated with it have proven to be very useful in predicting educational variables and studying the interconnection between them after COVID-19. That said, the general objective of this research was to predict the levels of resilience in second-ary school teachers through the design of an artificial neural network (ANN). Method: The Brief Resilient Coping Scale, the Maslach Burnout In-ventory and the COVID-19 Stress Questionnaire were administered to 401 secondary school teachers (70.6% female) from schools in southeastern Spain, with a mean age of 44.36 years (SD = 9.38). Results:Differences were found in the configuration of the predictive models of resilience be-tween male and female teachers, with the independent variables contrib-uting to different degrees depending on gender. Conclusions:It is highlighted the usefulness of ANNs in the educational setting and the need to design more adjusted programs.(AU)

A Multirobot System in an Assisted Home Environment to Support the Elderly in Their Daily Lives.

The increasing isolation of the elderly both in their own homes and in care homes has made the problem of caring for elderly people who live alone an urgent priority. This article presents a proposed design for a heterogeneous multirobot system consisting of (i) a small mobile robot to monitor the well-being of elderly people who live alone and suggest activities to keep them positive and active and (ii) a domestic mobile manipulating robot that helps to perform household tasks. The entire system is integrated in an automated home environment (AAL), which also includes a set of low-cost automation sensors, a medical monitoring bracelet and an Android application to propose emotional coaching activities to the person who lives alone. The heterogeneous system uses ROS, IoT technologies, such as Node-RED, and the Home Assistant Platform. Both platforms with the home automation system have been tested over a long period of time and integrated in a real test environment, with good results. The semantic segmentation of the navigation and planning environment in the mobile manipulator for navigation and movement in the manipulation area facilitated the tasks of the later planners. Results about the interactions of users with the applications are presented and the use of artificial intelligence to predict mood is discussed. The experiments support the conclusion that the assistance robot correctly proposes activities, such as calling a relative, exercising, etc., during the day, according to the user's detected emotional state, making this is an innovative proposal aimed at empowering the elderly so that they can be autonomous in their homes and have a good quality of life.

Introduction to the Special Issue on Cyberbullying and Cybervictimization.

Nowadays, the Internet is commonly used by students for both social activities and the academic field [...].

Family care prior to the admission of the elderly in a nursing home and continuity in family care: A comparative study of Colombia and Spain.

This study examined the background before admission to a nursing home and the conditions for the continuity of care, of the relatives of older adults of Colombia and Spain. The study sample comprised 546 participants: 278 and 268 from Colombia and Spain, respectively. Structured interviews were conducted with the older adults' relatives. Sociodemographic similarities predominated, although in the Colombian sample there were significantly more unrelated people. Similarities in previous and current care conditions also predominated too. Cluster 1 included all the cases of Colombian low-resource nursing homes, and Cluster 2 included all the relatives of Colombian high-resource nursing homes and all the Spanish centers. The type of nursing home was the variable more important to identify the abovementioned clusters. Conclusions: Family members from Colombia and Spain continue to care for the elderly admitted to geriatric homes. The type of geriatric center is what establishes the differences in the users.

Self-Esteem at University: Proposal of an Artificial Neural Network Based on Resilience, Stress, and Sociodemographic Variables.

Artificial intelligence (AI) is a useful predictive tool for a wide variety of fields of knowledge. Despite this, the educational field is still an environment that lacks a variety of studies that use this type of predictive tools. In parallel, it is postulated that the levels of self-esteem in the university environment may be related to the strategies implemented to solve problems. For these reasons, the aim of this study was to analyze the levels of self-esteem presented by teaching staff and students at university (N = 290, 73.1% female) and to design an algorithm capable of predicting these levels on the basis of their coping strategies, resilience, and sociodemographic variables. For this purpose, the Rosenberg Self-Esteem Scale (RSES), the Perceived Stress Scale (PSS), and the Brief Resilience Scale were administered. The results showed a relevant role of resilience and stress perceived in predicting participants' self-esteem levels. The findings highlight the usefulness of artificial neural networks for predicting psychological variables in education.

Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities.

The increasingly ageing population and the tendency to live alone have led science and engineering researchers to search for health care solutions. In the COVID 19 pandemic, the elderly have been seriously affected in addition to suffering from isolation and its associated and psychological consequences. This paper provides an overview of the RobWell (Robotic-based Well-Being Monitoring and Coaching System for the Elderly in their Daily Activities) system. It is a system focused on the field of artificial intelligence for mood prediction and coaching. This paper presents a general overview of the initially proposed system as well as the preliminary results related to the home automation subsystem, autonomous robot navigation and mood estimation through machine learning prior to the final system integration, which will be discussed in future works. The main goal is to improve their mental well-being during their daily household activities. The system is composed of ambient intelligence with intelligent sensors, actuators and a robotic platform that interacts with the user. A test smart home system was set up in which the sensors, actuators and robotic platform were integrated and tested. For artificial intelligence applied to mood prediction, we used machine learning to classify several physiological signals into different moods. In robotics, it was concluded that the ROS autonomous navigation stack and its autodocking algorithm were not reliable enough for this task, while the robot's autonomy was sufficient. Semantic navigation, artificial intelligence and computer vision alternatives are being sought.

Restorative Justice Education from Intrajudicial Criminal Mediation Associated Factors.

The restorative justice (RJ) paradigm requires coherence among legal, justice, and educational systems to promote a culture of restorative dialogue with victims of violence and to reintegrate aggressors into the community. The objective of this study, from an evolutionary social perspective, was to examine criminal mediation files in the archives of the Murcia Intrajudicial Criminal Mediation Service (UMIM), Spain, to see which variables are associated with which types of violence and understand the contents and adoption of agreements. In this study the sociodemographic, procedural, and interpersonal variables of 216 people who used criminal mediation were analysed. The results showed statistically significant differences concerning age, the procedural moment of referral, and the participants' relationship. The main conclusions are that the youngest group had a more significant number of encounters with physical violence; most agreements occurred in the initial phase of a judicial procedure; and the majority of agreements had moral content regardless of the age of the parties involved. These factors are of interest to the establishment of judicial and educational restorative models.

Adenoid cystic carcinoma and basaloid carcinoma of the breast: A clinicopathological study.

Adenoid cystic carcinoma of the breast (ACCB) is a rare triple negative tumor (TNT) with an excellent prognosis in most cases. Three different histologic types are recognized: classic ACCB, solid basaloid ACCB (SB-ACCB), and ACCB with high-grade transformation. A majority of these tumors show characteristic molecular and immunohistochemical (IHC) features, with fusion of MYB and NFIB genes and overexpression of MYB, respectively. Basaloid carcinomas of the breast (BCB) are infrequently described. They resemble SB-ACCB and TNT of no special type (TNT-NST). We have studied the clinicopathological features of 17 ACCB and 9 BCB, investigating the expression of MYB by IHC and the rearrangements of MYB by fluorescence in situ hybridization (FISH). MYB was expressed by IHC in 15 ACCB and in 3 BCB. MYB FISH detected rearrangements in 11 ACCB and in 2 BCB. After a mean follow-up of 90 months, with a range of 12-204 months, 2 patients with ACCB with high-grade transformation and 1 patient with BCB developed metastases and died of disease. In summary, most ACCB have a good prognosis, but tumors with adverse histopathological features may metastasize. BCB may overlap with ACCB and TNT-NST, and their prognosis should be further studied.

Profiles of Maladjustment and Interpersonal Risk Factors in Adolescents.

The individual's adaptation problems can lead to risky behaviors such as drug use. This study aimed to analyze the existence of different adaptation profiles (personal, school, and social) in adolescents. Thus, the study aimed to analyze the existence of significant differences in interpersonal risk factors depending on the degree of adaptation. The study participants were 1,201 students of Compulsory Secondary Education (M = 14.43, SD = 1.43), and 50.6% were girls. The TAMAI Test (multifactorial adaptation self-evaluation test) and the FRIDA questionnaire (Interpersonal Risk Factors for Drug Use in Adolescence) were used. A latent class analysis (LCA) revealed three different types of adaptation: maladjusted group, at-risk group, and adjusted group. The results showed the existence of significant differences between the different adaptation profiles based on interpersonal risk factors. The data obtained will help school and mental health plans to prevent misbehaving or risky behaviors.

Perfectionism Classes and Aggression in Adolescents.

Some of the components of perfectionism produce a variety of problems, such as interpersonal hypersensitivity and hostility, that may be associated with aggression behavior during adolescence. This study aims to identify classes of adolescents depending on their levels of Perfectionistic Strivings (PS) and Perfectionistic Concerns (PC) as well as to examine whether there are significant differences in the manifestations of the four components of aggression behavior (i.e., anger, hostility, physical aggression, and verbal aggression) between them. A total of 1,074 high school students from various educational centers participated in this study (M = 14.78, SD = 1.84). The Child-Adolescent Perfectionism Scale and the Aggression Questionnaire short form were used. The Latent Class Analysis identified three classes of adolescent perfectionism: (a) Non-Perfectionists (low PS and PC), (b) Maladaptive Perfectionists (high PS and PC), and (c) Adaptive Perfectionists (moderate PS and PC). Results revealed significant differences between classes regarding the different manifestations of aggression. Maladaptive Perfectionists and Adaptive Perfectionists reported, respectively, the highest and lowest levels of aggression behavior. This study assists in educational programs to prevent conflicts related to school violence through emotional adjustment.

Stress, Coping, and Resilience Before and After COVID-19: A Predictive Model Based on Artificial Intelligence in the University Environment.

The COVID-19 global health emergency has greatly impacted the educational field. Faced with unprecedented stress situations, professors, students, and families have employed various coping and resilience strategies throughout the confinement period. High and persistent stress levels are associated with other pathologies; hence, their detection and prevention are needed. Consequently, this study aimed to design a predictive model of stress in the educational field based on artificial intelligence that included certain sociodemographic variables, coping strategies, and resilience capacity, and to study the relationship between them. The non-probabilistic snowball sampling method was used, involving 337 people (73% women) from the university education community in south-eastern Spain. The Perceived Stress Scale, Stress Management Questionnaire, and Brief Resilience Scale were administered. The Statistical Package for the Social Sciences (version 24) was used to design the architecture of artificial neural networks. The results found that stress levels could be predicted by the synaptic weights of coping strategies and timing of the epidemic (before and after the implementation of isolation measures), with a predictive capacity of over 80% found in the neural network model. Additionally, direct and significant associations were identified between the use of certain coping strategies, stress levels, and resilience. The conclusions of this research are essential for effective stress detection, and therefore, early intervention in the field of educational psychology, by discussing the influence of resilience or lack thereof on the prediction of stress levels. Identifying the variables that maintain a greater predictive power in stress levels is an effective strategy to design more adjusted prevention programs and to anticipate the needs of the community.

Profiles of Mobile Phone Problem Use in Bullying and Cyberbullying Among Adolescents.

Technology is being used by individuals of all ages; young children show a high tendency of problematic use of devices such as smartphones. This study aimed to identify different profiles that vary in conflicts related to problematic mobile phone use and maladaptive communication and emotional patterns. Therefore, we examined whether there are significant differences in bullying and cyberbullying among teenagers who have a problem utilizing mobile phones. The study participants were 810 students of Compulsory Secondary Education (M = 13.99, SD = 1.32), with 52.2% being girls. Questionnaires on school violence and experiences related to mobile phones were administered. The latent profile analysis identified three different types of problematic mobile phone use: (a) low levels of conflict was associated with mobile phone abuse and low levels of communication and emotional use; (b) moderate levels of conflict was associated with mobile phone abuse and moderate levels of communication and emotional use; and (c) high levels of conflict was associated with mobile phone abuse and high levels of communication and emotional use. The study results highlight significant differences in the manifestations of school violence between the profiles. Finally, this study's findings form the basis for the development of education programs to prevent mobile phone abuse and school violence and therefore academic adjustment.

Development and Exploration of Psychometric Properties of the Family Adjustment Questionnaire for Admitting an Older Adult to a Nursing Home (CAFIAR).

Background: Admitting an older adult to a nursing home involves significant adjustment efforts by the family. Our goal was to prepare an assessment instrument for this, given that there was none to date. Method: Participants-134 relatives from different nursing homes in the region of Murcia. Instruments-structured interview for socio-demographic information, satisfaction with the nursing home, well-being and health self-assessment, Radloff's Depression Questionnaire (CES-D), and the first version of CAFIAR. Results: A 15-item instrument with three factors was obtained: Factor 1 (Unease due to admitting an older adult to a nursing home), Factor 2 (Relief), and Factor 3 (Nostalgia and concern for the older adult), in addition to a general adjustment index, with a Cronbach's alpha of 0.74. The general adjustment index and the subscales that demonstrate poor adjustment were significantly correlated with depression and a worse health self-assessment, while the Relief subscale, which indicates better adjustment, was significantly correlated with well-being and a positive health self-assessment. Conclusions: The family adjustment in admitting an older adult to a nursing home questionnaire (CAFIAR) has adequate psychometric properties to assess family adaptation in admitting an older adult to an institution.

Profiles of Problematic Internet Use in Bullying and Cyberbullying among Adolescents.

The rise of technology has increased risks such as problematic internet use or cyberbullying. Data show that there is problematic use of the internet, which has important repercussions academically, personally, socially and for health. The objective of this study was to identify different profiles that vary according to intra- and interpersonal conflicts related to internet use. In addition, this study aimed to examine whether there are significant differences in bullying and cyberbullying among adolescents with a conflict related to internet use. The study participants were 810 students of Compulsory Secondary Education (M = 13.99, SD = 1.32). The Questionnaire on School Violence and the Questionnaire of Experiences Related to Internet was use. The latent profile analysis identified four different types of conflicts related to internet use: (a) high levels in intra- and interpersonal conflicts; (b) low levels intra- and interpersonal conflicts; (c) moderate intra- and interpersonal conflicts and (d) very high levels in intra- and interpersonal conflicts. The results of the study indicated that there were significant differences in the manifestations of school violence between the profiles. This study assists in educational programs to prevent conflicts related to internet use and school violence through emotional adjustment.

Latent Profiles of Burnout, Self-Esteem and Depressive Symptomatology among Teachers.

Burnout is a reality in the teaching profession. Specifically, teaching staff usually have higher burnout rates. The present study aims to analyze the different burnout profiles and to verify if there were differences between burnout profiles in depressive symptomatology and in the self-esteem of the teachers at school. The total number of participants was 210 teachers from 30 to 65 years. The first scale was the Maslach burnout inventory, the second scale was the Self-Rating depression scale and the third scale was the Rosenberg Self-Esteem Scale . The latent class analysis identified three burnout profiles: the first group with a high level of emotional exhaustion, low personal accomplishment and depersonalization (high burnout); the second group with low emotional exhaustion, low depersonalization and high personal accomplishment (low burnout) and the third group with low depersonalization, low emotional exhaustion and low personal accomplishment (moderate burnout). The results revealed that there were differences in depressive symptomatology (group 1 obtained higher scores than group 2 and group 3) and self-esteem (group 2 obtained higher scores than group 1). The psychological balance and health of teachers depend on preventing the factors that have been associated with this syndrome.

Analysis of Motor Intervention Program on the Development of Gross Motor Skills in Preschoolers.

This study aimed to investigate the influence of a structured movement activity program on the motor development of children aged three to five years attending preschool. Participants were 136 preschool students with normative development at three to four years old who lived in the Region of Murcia (Spain). The McCarthy Children's Psychomotricity and Aptitude Scales (MSCA) battery of psychomotor tests was used to evaluate the motor development profiles of preschoolers before and after the intervention. The sample was divided into two groups: an intervention group (28 students) and a comparison group (108 students). A structured 24 week physical education program was used in the intervention group. An experiential program based on free play was used in the comparison group during the same period. Preschoolers in both groups got a significant improvement in the contrast of pre-intervention with post-intervention in limb coordination. Statistically significant differences in the post-intervention measurements between the comparison group and the intervention group on arm and leg coordination were observed, whereby the intervention group presented higher arm coordination values (F1,134 = 14,389, p = 0.000, η2 = 0.097) and higher leg coordination values (F1,134 = 19,281, p = 0.000, η2 = 0.126) than the comparison group. It was pointed out that structured physical activity education is better educational methodology than free play to achieve adequate motor development in preschool children.

Female Soccer Players' Psychological Profile: Differences between Professional and Amateur Players.

The psychological variables that affect competitive performance are called the psychological profile of athletes. In recent years, the interest in female soccer players and the psychological characteristics that affect their performance has increased. The aim of the present study is to analyze the psychological characteristics of female professional soccer players and female amateur soccer players, as well as to determine the differences in the psychological profile of both groups. The participants were 134 federated female soccer players, with an average age of 18.28 years (SD = 4.05). To assess the psychological profile, the questionnaire on Psychological Characteristics related to Sports Performance (CPRD) by Gimeno, Buceta, and Pérez-Llantada (2001) was used. The results showed that female professional players presented higher values for motivation, while the female amateur players presented higher values for stress control and the influence of performance evaluation. These results can have a great impact on coaches' work, since they can help them to establish tasks and training methods consistent with the characteristics of their players.

Profiles of Burnout, Coping Strategies and Depressive Symptomatology.

Burnout syndrome is has been associated with mental health problems such as depression, anxiety, and stress. Given this fact, some teachers implement various coping strategies for emotional control that are not always functional to mitigate such difficulties. Accordingly, this study aimed to identify different burnout profiles that vary in the levels of the three underlying dimensions: depersonalization (DE), emotional exhaustion (EE), and personal accomplishment (PA). Further, this study aimed to examine whether there are significant differences in depressive symptomatology, coping strategies, and the quality of interpersonal relationships at school between teachers with varying burnout profiles. The Maslach Burnout Inventory (MBI), Zung Self-Rating Depression Scale (SDS), Coping with Stress Questionnaire, and a questionnaire that measured sociodemographic characteristics were administered to 215 teachers (men: 42.8%) who were recruited from various secondary schools. Cluster analysis identified three different burnout profiles: groups of teachers with a predominance of (a) low levels of EE and high levels of PA, (b) high levels of EE and DE, and (c) low levels of DE and PA. The results revealed that there were significant differences in coping strategies, depressive symptomatology, and the quality of interpersonal relationships at school between teachers with different burnout profiles. These results have important implications for educational professionals. Specifically, the findings underscore the need for prevention and intervention programs that enhance teachers' emotional skills, especially their ability to cope with exhaustion. These skills will alleviate their depression and consequently offer both teachers and students a conducive learning environment.

Educational Response to a Student with Psychosis at the Secondary Level: A Non-Experimental Single-Case Study.

Students with psychosis in school within the ordinary education system are a reality in the classroom. To study their correct adaptation at school, it is necessary to consider numerous factors such as the personal characteristics of the student, environmental variables, educational measures put in place as well as emotional and cognitive aspects. The aim of this research was to monitor the teaching-learning process of a student diagnosed with psychosis and enrolled in a public school at the secondary level in the ordinary modality with support during an academic year, with the usual resources provided by a guidance department to assess the impact of the educational measures and plans on his emotional and academic fields. This was a single case study in which both qualitative and quantitative information was collected (N = 1). The participant was a student with special needs at the secondary level. An analysis of the results of psychometric tests, plan for diversity, observational analysis, academic file, scholastic history, and multiple interviews were carried out. The findings show how the educational curriculum can be adapted to improve the competences of a student with psychosis by encouraging an increase in social abilities and potential cognitive abilities through the counseling department. The conclusions of this research can provide a guideline for comparison of different educational systems, paying greater attention to the development of emotional aspects, and opting for inclusive measures. In this line, this study shows that students with psychosis can share classrooms and studies with their peers, thus fulfilling the principle of educational inclusion.