Predicting reading literacy and its improvement in the Polish national extension of the PISA study: The role of intelligence, trait- and state-anxiety, socio-economic status and school-type

Self-Esteem and Motivation for Learning in Academic Achievement: The Mediating Role of Reasoning and Verbal Fluidity

The goal of the present study was to analyze the joint role that non-cognitive (motivation and self-esteem) and cognitive (verbal fluency and reasoning) factors play on academic achievement, both as a global score and in relation to specific subjects, such as language and literature and mathematics. We also analyzed the mediating role of cognitive factors. We recruited a sample of 133 primary education students (aged 6–9 years old) (47.6% girls, 52.6% boys), to whom various measures of the above-indicated variables were administered. Several predictive models were tested through a mediational regression analysis. The results indicated the relevance of intrinsic motivation together with self-esteem as predictors of academic achievement mediated by the cognitive abilities verbal fluency and reasoning. These relationships differed depending on the specific subject. We discuss the educational implications of these findings and emphasize, on the one hand, that academic achievement depends on both cognitive and non-cognitive factors and, on the other hand, the malleability of cognitive factors, as they seem to improve based on motivation and self-esteem.

Regression Analysis of ICT Impact Factors on Early Adolescents' Reading Proficiency in Five High-Performing Countries

The popularity of information and communication technology (ICT) has had a significant influence on the reading proficiency of early adolescents. Achieving excellent reading proficiency, which is related not only to a student's inherent talent but also to various impact factors, can greatly enhance the effectiveness of reading education. The Program for International Student Assessment (PISA) 2015 provides an international view on the reading proficiency of 15-year-olds in a computer-based testing environment. In this study, a multiple linear regression model was constructed using the computing language R to investigate the association between student-level ICT impact factors (the availability of ICT, the use of ICT and attitudes toward ICT) and reading proficiency among early adolescents. The sample included 37,155 15-year-olds from five representative countries with extremely high reading proficiency. The results showed that the students' ICT-related attitudinal factors concerning their interest in ICT and perceived autonomy in using ICT, rather than ICT availability and ICT use, were closely associated with high reading proficiency. In addition, ICT devices should be integrated not only as instructional media but also as a cognitive tool for teaching reading with timely and appropriate scrutiny.

The effects of childhood maltreatment and anxiety proneness on neuropsychological test performance in non-clinical older adolescents

BACKGROUND

The effect of childhood maltreatment (CM) on neuropsychological performance is well established, but the effect of anxiety proneness (AP) on such performance has been underexplored. We assessed the predictive ability of CM and AP, and their interaction, in non-clinical adolescents, for a range of previously documented neuropsychological deficits.

METHODS

Multiple linear regression models were used to assess the unique and combined influences of CM and AP on neuropsychological performance in 104 non-clinical adolescents, who underwent both neuropsychiatric and neuropsychological assessment.

RESULTS

The interaction of CM and AP was associated with poorer performance in executive functioning skills, processing speed, and estimated IQ. CM and AP were uniquely associated with verbal working memory performance, while verbal and visual memory performance and learning, and visuo-spatial ability, were not associated with either CM, AP or the interaction of CM and AP.

LIMITATIONS

The use of self-report measures to determine participants' levels of CM, AP, and depression. The CTQ-SF, a retrospective self-report measure, may have introduced recall bias. The neuropsychological evaluation was not conducted in the Xhosa language, the first language of most African participants. Most instruments utilized have not been validated in a South African adolescent sample. The impact of important moderator variables (e.g., age of onset of maltreatment) was not assessed.

CONCLUSIONS

Increased levels of CM and AP may be risk markers for poor performance in several key neuropsychological domains. Our findings underscore the importance of assessing the impact of both CM and anxiety-related temperamental traits on neuropsychological performance.

Predictive model for early math skills based on structural equations

Early math skills are determined by higher cognitive processes that are particularly important for acquiring and developing skills during a child's early education. Such processes could be a critical target for identifying students at risk for math learning difficulties. Few studies have considered the use of a structural equation method to rationalize these relations. Participating in this study were 207 preschool students ages 59 to 72 months, 108 boys and 99 girls. Performance with respect to early math skills, early literacy, general intelligence, working memory, and short-term memory was assessed. A structural equation model explaining 64.3% of the variance in early math skills was applied. Early literacy exhibited the highest statistical significance (β = 0.443, p < 0.05), followed by intelligence (β = 0.286, p < 0.05), working memory (β = 0.220, p < 0.05), and short-term memory (β = 0.213, p < 0.05). Correlations between the independent variables were also significant (p < 0.05). According to the results, cognitive variables should be included in remedial intervention programs.