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.

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.

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.

Television watching and video/computer playing are favorite leisure activities among children and adolescents. Individuals with attention deficit hyperactivity disorder (ADHD) have several special characteristics in relation to attention and impulsivity compared with non-ADHD individuals. This study investigates parental perceptions of electronic media use among children and adolescents with ADHD and a control group. A total of 54 participants with ADHD and 51 controls aged 7-15 years old took part in the study. A questionnaire was constructed to collect quantitative data from parents. ADHD children tend to spend more time per day on electronic devices compared to non-referred children. Age but not gender seemed to affect the frequency of children’s media play. Inattention, anxiousness and disorganization are more common in the ADHD group in activities such as reading, doing homework, doing sports or playing with toys in comparison to media activities. Parents of both groups worry a lot about their child’s habits of videogame playing. Finally, parents of ADHD children recognize some of the benefits of videogames in the areas of memory, attention and motivation but not in the academic area. In conclusion, the present study highlights important aspects of the topic of media use by children with ADHD as well as risk factors to take into account.