The goals of the study were to examine the predictive power of general cognitive ability, working memory, and self-efficacy in first grade for academic functioning of children at risk for learning disabilities in second grade. The study involved 82 children (age 6-7 years) from five local public elementary schools in middle-class neighborhoods in Jerusalem, including 41 children at risk for specific learning disabilities and 41 typically developing peers. In the first stage of the study, (performed at the end of first grade), general cognitive ability and working memory were assessed using subtests from the Wechsler Intelligence Scale for Children (the subtests consisted of:  Vocabulary and Block Design for general cognitive ability; Arithmetic and Digit Span for working memory). Academic self-efficacy was rated using a structural interview. At follow-up, academic functioning was assessed at the end of second grade. A serial-multiple mediation analysis revealed significant mediating roles for levels of performance in the Arithmetic subtest and for academic self-efficacy in predicting the academic functioning in second grade. The significance of the Arithmetic subtest, based on contemporary research on the structure of the intelligence was proposed. Educational implications call for sensitizing teachers to the unique role of academic self-efficacy in shaping trajectories of academic functioning development among children with RLD and in using effective strategies of promoting self-efficacy.

Executive Functions (EFs) describe a set of cognitive control abilities that help children to develop self-regulated behavior and do well in their schooling. The promotion of EFs in children at social risk is an area of relevance for neurosciences and education. On this basis, the present study set out to analyze a school-based intervention targeted to strengthening EFs in Argentine children at social risk. Participants were 69 children from 8 to 10 years old, from an urban-marginalized federal school in Mendoza. A quasi-experimental pre-test post-test design was used, with a control group. The cognitive intervention was embedded in the school curriculum and was carried out for a month and a half. The schoolchildren were evaluated before and after the intervention with EFs’ neuropsychological tests. The main results showed that the group cognitive intervention was associated with gains in the schoolchildren’s attention processes, although it did not favor other EFs, which could indicate moderate effectiveness. These data provide evidence in favor of ecological interventions as a way to promote attention development trajectories in children at social risk, and in turn, draw up guidelines to reflect on the design and the modalities of school-based interventions.

This work has two objectives. The first is to describe a program to strengthen socio-cognitive abilities in initial education children (called PHSC), which is focused on training teachers on its implementation in the classroom. The second objective is to examine the effectiveness of the program when it is applied in schools with different socio-cultural contexts. It involved a total of 257 initial-level students attending two pre-primary schools in the province of Mendoza. One school was in an urban area of a more stable social environment, and the other in a socially-vulnerable area.  The program was administered by teachers who had been trained for it. Pre- and post-assessments were conducted using socio-cognitive tests on the students. The teachers responded to the Executive Functioning Scale for initial education children before and after implementation of the PHSC program, and parents responded to an on-line survey to find out whether they had noticed any improvements or positive changes after the application of the program. The results suggest the possibility that this program, implemented by teachers, could improve the socio-cognitive abilities in children of both of the different social contexts, as well as being a driver to create conditions of equal opportunities and generate learning benefits in all their students.

The role of motivation, temperament, personality and well-being as predicting propensity factors for mathematical abilities was investigated in 30 adults. By embedding these predictors in the Opportunity-Propensity framework, this study aimed to reveal their unique contribution in math development, which is important to improve mathematics education. To our knowledge, the present study is the first to combine predictors and find evidence for the importance of some non-cognitive and socio-emotional propensity factors for mathematical performance by using primary data. Results indicated significant interrelations between the propensities, pleading to integrate them in math research. Furthermore, the relationship propensities and mathematics was dependent on the specific investigated math task, which is in line with the componential nature of mathematics. Negative Affect was the best prediction of accuracy (lower levels of subjective well-being associated with lower levels of mathematical accuracy) whereas Intrinsic Motivation was the best predictor for fact retrieval speed. Limitations and implications for future research are described.

The aim of this study was to examine if perceived family violence of victimized children is related to their perceived aggressive behavior. It has been acknowledged that children learn and behave what they observe and practice including violence. A stratified random sample (N =1160) of Omani school students was drawn from grades 6 to 9. The study used perceived family violence and perceived aggressive behavior measures to collect data. CFA was performed to test the proposed factor structure as well as the structural model. The invariance test lent support to the hypothesis that the structure of constructs is invariant across gender. However, the relations between constructs were not invariant. Children (boys and girls) who expressed high verbal violence on them reported they were more verbally and physically aggressive. Boys, but not girls, who reported high physical violence on them reported they were more verbally and physically aggressive. The relation between perceived family violence and perceived aggressive behavior seem to be dependent on gender and types of family violence as well as the kind of children’s aggressive behavior.

The diagnostic utility of the Woodcock- Johnson III Tests of Cognitive Abilities and Clinical Clusters was assessed in a sample of 52 children (26 Attention Deficit/Hyperactivity Disordered (ADHD) and 26 matched controls). Multivariate analysis of variance followed by post-hoc testing and d-ratios yielded some statistically significant and clinically meaningful differences between groups on the Cognitive Fluency Cluster and the Tests of Auditory Attention, and Rapid Picture Naming. Discriminant function analyses indicated that the WJ III COG Tests collectively classified 80.77% of the sample correctly (76.92% of controls and 84.62% of children with ADHD correctly identified). The Auditory Attention and Rapid Picture Naming tests were found to make the most significant contribution overall to the discriminant function. Using a cut-score of 85, the WJ-III COG Clinical clusters and subtests examined in this study offered fair to weak diagnostic utility based on indices of sensitivity, specificity, positive and negative predictive power, as well as results of Receiver Operating Characteristic curve analyses. Implications for research and practice are outlined.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterised by difficulties in communication and repetitive behaviors. The early detection of ASD is a clinical priority in education centres and medical services. COREAT is a computer adaptation of the Repetitive Behavior Scale-Revised (RBS-R) which has been designed to facilitate the diagnosis of individuals with ASD and intellectual disability. This article describes the development, an initial evaluation of the feasibility and the preliminary outcomes of COREAT. The development of COREAT consists of two phases. Phase 1: Performing a prior analysis of the psychometric properties of the RBS-R scale. Phase 2: Developing the mobile application (pilot tests, testing real cases n = 11, and final feedback). Descriptive data of the pilot study shows that 91.31% of participants indicate that COREAT is very accessible and intuitive. COREAT proves to be a useful diagnostic resource for professionals and families. Cross-cultural differences must be analysed.

Findings from a research synthesis of the relationships between family needs and parent, family, and child functioning are reported. The synthesis included 31 studies conducted in 12 different countries. The studies were conducted between 1987 and 2021 and included 4,543 participants. Eight different family needs scales or adaptations of the scales were completed by the study participants (mothers, fathers, or grandmothers of children with developmental disabilities, autism spectrum disorders, or medical conditions). The outcome measures included caregiver psychological health, parenting stress, parenting burden, parenting beliefs, family coping strategies, family functioning, family support, and child functioning. The correlations between family needs and the outcome measures were used as the sizes of effects for evaluating the strength of the relationships between measures. Results showed that unmet family needs were associated with more negative and less positive family and family member functioning and fewer unmet family needs were associated with more positive and less negative family and family member functioning. The sizes of effect for parenting stress and burden were larger than were the sizes of effects for each of the other outcome measures. Child condition and study quality moderated the relationship between family needs and parenting stress and burden but not the other outcome measures. The results are discussed in terms of one component of family systems intervention models.

This paper presents an investigation that aims to: 1) explore the relations between core symptoms of adult Attention Deficit and Hyperactivity Disorder (ADHD) and several typical Internet activities, and 2) compare the predictive power of two core symptoms of ADHD- inattention and hyperactivity/impulsivity- in predicting Internet addiction. Methods: A total of 2016 Chinese college students participated in this study. The ADHD symptoms were assessed using Conners self-rating scales and DSM-5 semi-structured interviews. Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (SCID-5) was used to exclude other psychiatric disorders. Chen’s Internet addiction scale (CIAS) was used to evaluate Internet addiction. Information about Internet activities (e.g., online gaming) was collected through a self-constructed questionnaire. Results: The ratio of Internet addiction problems among individuals with ADHD symptoms is significantly higher than in ordinary individuals (48.9% vs. 14.3%). Further, each core ADHD symptom has unique relations with different types of Internet activities. Specifically, both core ADHD symptoms are negatively associated with information downloading and online learning, and positively associated with online gaming, while online shopping is only associated with hyperactivity/impulsivity. Furthermore, both core ADHD symptoms are significant predictors of Internet addiction, especially inattention. Conclusion: College students with ADHD symptoms are at a higher risk of having Internet addiction than peers without ADHD symptoms. For individuals with ADHD symptoms and excessive online gaming and/or online shopping behaviors, the probability of having Internet addiction is even higher. These findings have important implications for identifying risk factors of Internet addiction and preventing Internet addiction in Higher Education settings.

In this study, a cluster analysis was performed by creating a data set from students' personality traits and academic procrastination behaviours. Correlation analysis was done to examine the relationship between the variables, and the characteristics of the formed clusters and the association of the clusters with the perceived socioeconomic status were examined. Cluster analysis is a simple and practical method for classifying a set of complex data based on certain variables and making them more meaningful and using the results as an aid to decision-making. Clustering algorithms handle such data effectively, making it more meaningful. Following the analysis, it was revealed that two clusters had formed. The first of the clusters includes 65.2 % of the sample population; the level of procrastination and the mean score of neurotic personality traits were calculated higher than the other cluster. The remaining part of the sample population (34.8 %) constitutes the second cluster. The mean scores of studying systematically habits and extroversion, agreeableness, conscientiousness, and openness to experience personality traits of the students forming this cluster are higher than the other cluster. No association was observed between the clusters and the perceived socioeconomic levels of the students. The distributions of socioeconomic levels within the clusters are similar to each other. When the correlations of these variables are examined; positive relationships were found between the level of procrastination and neurotic personality traits. Procrastination behaviour and neurotic personality traits were also negatively correlated with other variables.

The Coronavirus disease (COVID-19) pandemic has affected people in multiple dimensions. In addition to the social, physical health, financial, and mental health impacts of the pandemic, many United States (U.S.) college students experienced an abrupt transition to online learning in Spring 2020, resulting in a significant disruption to their learning and life. In this study, we examined COVID-19 impacts as reported by college students enrolled in an online class in Spring 2020 via an extra-credit survey. Participants reported predominantly negative impacts, but positive impacts were also reported. A total of 61 aspects of impact were identified reflecting six major themes: academic, housing and travel related, physical health-related, financial and work-related, social life, and mental health related impacts. We found that females reported significantly more overall negative impacts and significantly more academic and housing/travel related impacts than males. Black students reported significantly fewer positive impacts compared to non-Black students in the sample. Asian students reported significantly more academic impacts than White students. In addition, participants in the fully online degree program had significantly fewer overall impacts and significantly fewer academic impacts than those in the residential degree program. Implications of the findings were discussed.

Life skills are personal resources that can be trained and applied in a specific situation and transferred to other contexts. The growing body of research has shown that intervention programs produce positive results in learning and transferring life skills. Nonetheless, there is a need to clarify the efficacy of life skills training, namely the theoretical background of life skills interventions and how to organize the intervention programs. This paper attempts to overcome these gaps of literature by providing a conceptualization of life skills into two axes: typology (cognitive to physical continuum) and function (personal and interpersonal). Also, it is presented a theoretical model of life skills training that establishes the stages and principles of life skills acquisition, the variables that influence training, and the measures and hypotheses that can be used to evaluate the efficacy of life skills training. In sum, we clarify the actual challenges of life skills training and provide indications on how to apply and evaluate the efficacy of the intervention.

The current study aimed to investigate the effectiveness of an online dynamic test in reading and writing, differentiating in typically developing children (n = 47) and children diagnosed with dyslexia (n = 30) aged between nine and twelve years. In doing so, it was analysed whether visual working memory, auditory working memory, inhibition, cognitive flexibility, and reading self-concept were related to the outcomes of the online dynamic test. The study followed a pretest-training-posttest design with two conditions: experimental (n = 41), who received training between the pretest and posttest, and control (n = 37), who received training after the posttest. Results showed that typically developing children and children diagnosed with dyslexia in both conditions could improve their reading and writing accuracy scores, while the training in prosodic awareness might have tapped into children's potential for learning. Moreover, results revealed that in children diagnosed with dyslexia, training in the domain of writing competence could compensate for cognitive flexibility. However, training was not found to compensate for reading self-concept in children diagnosed with dyslexia.

In recent years, children and adolescents have spent more time sitting and engaging in less physical activity than recommended by health authorities. Despite widespread efforts to promote physical activity through school-based programs, the impact of specific intervention programs often remains untested. Therefore, in this pilot study, the effects of a national school-based physical activity program were assessed. A sample of 80 first- and second-grade primary school students aged between 7 and 9 years (M = 7.95, SD = 0.44) of eight classes was cluster randomly assigned to either the experimental group (EG; classroom-based physical activity breaks) or the control group (CG; conventional school lessons). Primary outcomes included objective measurements of sedentary behaviour, step counts, and moderate-to-vigorous physical activity (MVPA) during the intervention. Secondary outcomes encompassed assessments of aerobic fitness performance, executive functions, academic achievement, and scholastic well-being before and after the 20-week intervention. The results indicate that students of the EG spent less time sedentary and took more steps during school mornings than their counterparts of the CG. The physical activity program resulted in a 630-step increase and a 10-minute reduction in sitting time daily. However, there were no effects on MVPA level, aerobic fitness performance, or cognitive functions (including executive functions and academic achievement). The implications of these findings are discussed in light of comprehensive school physical activity approaches.