This study aimed to examine the importance levels of mathematics-specific trend variables in PISA (Programme for International Student Assessment) 2003 and 2012 in predicting mathematics performance across years with a two-step analysis method. The sample of the study was 9703 Turkish students (N[subscript 2003]=4855 and N[subscript 2012]=4848)…

Background and Aims: The fastest growing group of students with disabilities are those with Autism Spectrum Disorder (ASD). States annually report on post-high school outcomes (PSO) of exited students. This study sought to fill two gaps in the literature related to PSO for exited high-school students with ASD and the use of state data and…

The present study aimed to investigate the relationship between students' academic motivation, implicit beliefs about intelligence and learning strategies among undergraduate healthcare students. First-year students of healthcare degree courses from a university in Southern Italy were surveyed. The study measured psychological constructs by means…

Patterns of maintenance of ability across the life span have been documented on tests of knowledge ("Gc"), as have patterns of steady decline on measures of reasoning ("Gf/Gv"), working memory ("Gsm"), and speed ("Gs"). Whether these patterns occur at the same rate for adults from different educational…

The Fullerton Longitudinal Study offers a unique opportunity to model the stability of intelligence and achievement and their relations from elementary through secondary school. Using latent variable modeling, we fit a cross-lagged panel model to examine the relations between intelligence and achievement in two academic domains: mathematics and…

We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…

The present study aims to determine which analysis technique-Artificial Neural Networks (ANNs) or Logistic Regression (LR) Analysis-is better at predicting the science literacy success of the 15-year Turkish students who participated in PISA research carried out in 2015 by using learning time spent on science, test anxiety, environmental…

This study examined the utility of the Gifted Composite (GC) formula derived from selected subtests on the "Stanford-Binet Intelligence Scales, Fifth Edition" (SB5) for evaluating intellectual giftedness. A sample of 52 children were administered both the SB5 and "Woodcock-Johnson Tests of Achievement, Third Edition" (WJ-III…

The study was performed in St. Petersburg in 2015 and comprised 34 children with diagnosed Down's syndrome (DS) aged 9-15 (mean 11) years (17 boys, 17 girls) who attended special schools. Control group was made up of 34 clinically healthy normal intelligence schoolchildren matched for age, sex and geographical distribution. The mothers were…

The school adjustment of children is the cornerstone of their development, and has been known to be influenced by a variety of factors. This study investigated the effects of peer relationships, theory of mind (ToM), hot executive function (hot EF), and cognitive ability on young children's school adjustment. Participants were 183 children with a…

Having strong alphabet knowledge early in life is a powerful predictor of long-term reading and academic outcomes. Upon tracking the alphabet knowledge of 172 children enrolled in their first year of Head Start, we identified that most of the children could name fewer than 10 letters at the beginning of the academic year. Approximately, one third…

The purpose of this study was to explore possible relationships between the implicit theories of intelligence, self-efficacy, self-regulated learning, and academic achievement of undergraduate students enrolled at an HBCU in a mid-Atlantic state. Three instruments were used in this study: (a) the Implicit Theory of Intelligence Scale (TOI), (b)…

The incremental theory of intelligence has been identified as a strong predictor of students' learning motivation. Recent research has suggested various moderators of its effect. The present study sought to examine the moderating effects of self-enhancement and self-criticism on the relation between incremental intelligence beliefs and students'…

Securing employment poses a significant problem for information technology (IT) college and university graduates. An overarching purpose of this research was to inform IT faculty, IT hiring managers and IT graduates of which 42 critical IT skills best predict the offering of jobs to graduates and how long it takes graduates to receive such offers.…

Daily living skills standard scores on the Vineland Adaptive Behavior Scales-2nd edition were examined in 417 adolescents from the Simons Simplex Collection. All participants had at least average intelligence and a diagnosis of autism spectrum disorder. Descriptive statistics and binary logistic regressions were used to examine the prevalence and…