Home book reading and reading achievement in EU countries: the Progress in International Reading Literacy Study 2011 (PIRLS)

Home shared book reading during the preschool years is a strong predictor of students’ reading achievement in primary school, and, according to Sénéchal (2012), it can benefit more children from low socioeconomic status (SES) backgrounds. This study examines the association between frequency of book reading before the start of compulsory education and the reading achievement of 4th-grade students whose parents have high and low education levels in 22 European countries. Using data from the Progress in International Reading Literacy Study (PIRLS 2011), we show that the contribution of shared reading for the achievement of students from distinct SES backgrounds is different in different countries and that shared reading does not always benefit more children from low-SES backgrounds. Results are discussed in light of Sénéchal's home literacy model, the dynamics of cultural capital, and current policy efforts to support children's literacy development in European countries.     

Analysis of self-regulated learning processing using statistical models for count data

Researchers often use measures of the frequency of self-regulated learning (SRL; Zimmerman, American Educational Research Journal, 45(1), 166–183, 2000) processing as a predictor of learning gains. These frequency data, which are really counts of SRL processing events, are often non-normally distributed, and the accurate analysis of these data requires the use of specialized statistical models. In this study, we demonstrate how to implement and interpret count statistical models in path and latent profile analyses to investigate the role of SRL as a mediator of the relation between pretest and posttest conceptual understanding. Our findings from a sample of 170 college students using a computer to learn about the circulatory system show that SRL does mediate the aforementioned relation, and that count models are a more accurate representation of SRL processing data than standard analysis models based on ordinary least squares estimation. The results of our path analyses revealed which specific SRL processes were related to learning, above and beyond the effect of prior knowledge. Our latent profile analysis revealed two groups of participants, indicative of Brophy’s (2004) model of schematic and aschematic learners. We conclude with implications and future directions for basic and applied SRL research.     

Evaluating the perception of disability and the inclusive education of teachers: the Italian validation of the Sacie-R (Sentiments,Attitudes, and Concerns about Inclusive Education – Revised Scale)

This study aimed to verify the factorial structure, internal validity, reliability, and criterion validity of The Sentiments, Attitudes and Concerns about Inclusive Education Revised Scale (SACIE-R) in an Italian sample. The SACIE-R is a useful tool to measure three aspects of teachers’ perceptions about inclusion, which are Sentiments, Attitudes and Concerns, providing valuable information to address the needs of teachers working with special students. A measure of this construct is currently not available in Italian, and a validation process is required. In order to provide an initial psychometric evaluation of the Italian adaptation, the SACIE-R was translated for use in Italian-speaking populations. Four hundred Italian teachers enrolled in educational teaching courses completed the SACIE-R. Confirmatory factor analyses demonstrated a good fit to the hypothesised 3-factor model, and adequate internal consistency for the scale was evidenced. A confirmatory factor analysis showed the same factor structural validity as the original instrument (although some items in the original version were deleted). Furthermore, taken together, the results showed a good level of reliability, and convergent and discriminant validity. Finally, the Italian version of the SACIE-R has good psychometric characteristics that can make it a useful measure of teacher attitude toward inclusion in the Italian educational context.     

Machine learning techniques for XML (co-)clustering by structure-constrained phrases

A new method is proposed for clustering XML documents by structure-constrained phrases. It is implemented by three machine-learning approaches previously unexplored in the XML domain, namely non-negative matrix (tri-)factorization, co-clustering and automatic transactional clustering. A novel class of XML features approximately captures structure-constrained phrases as n-grams contextualized by root-to-leaf paths. Experiments over real-world benchmark XML corpora show that the effectiveness of the three approaches improves with contextualized n-grams of suitable length. This confirms the validity of the devised method from multiple clustering perspectives. Two approaches overcome in effectiveness several state-of-the-art competitors. The scalability of the three approaches is investigated, too.     

Student satisfaction in higher education: a meta-analytic study

This paper discusses the results of a meta-analysis performed to identify key antecedent and consequent constructs of satisfaction in higher education. We offer an integrated model to achieve a better understanding of satisfaction in the context of higher education. To accomplish this objective, we identified 83 studies that were valid and relevant to the research objective of the current study, generating a total of 469 observations. We identified studies published from 1986 to 2016 and analyzed six antecedent dimensions (perceived value of educational services, resources provided to the student, service quality perception, marketing orientation, identity of the higher education institution, university environment) and one consequent dimension related to satisfaction. The 7 dimensions exhibited a total of 51 relationships. We believe that the originality of the findings clearly contributes to future academic research in higher education.     

How does mental fatigue affect soccer performance during small-sided games? A cognitive,tactical and physical approach

ABSTRACT

Objectives

We examine how mental fatigue (MF) influences peripheral perception, tactical behaviour, and physical performance of soccer players during a standardized small-sided game.     

Concurrent and longitudinal neuropsychological contributors to written language expression in first and second grade students

The primary purpose of this study was to examine several key questions related to the neuropsychological contributors to early written language. First, can we develop an empirical measurement model that encompasses many of the neuropsychological components that have been deemed as important to the development of written language? Second, once derived, will the neuropsychological components of this model remain stable over first and second grades or will the model change in its composition? Third, will the strength of the relationships between neuropsychological components and writing outcomes be constant over time, or will the strength of the relationships change over time? Finally, will the derived empirical model show significant concurrent and predictive relationships with written expression? The sample included 205 first grade students recruited from a single school district who were followed into the second grade via two cohorts: Measures were aligned with major neuropsychological components as extracted from theoretical models of written expression and available empirical findings examining the neuropsychological contributors to writing in children. These domains included fine-motor speed, language, short-term memory, long-term memory, and various attention/executive functions including working memory. Confirmatory factor analyses (CFAs) and longitudinal structural equation modeling (SEM) methods documented that three core latent traits were present and stable at both grades 1 and 2: Fine-Motor, Language, and Attention/Executive Functions. The overall model was highly related to written expression and spelling at both grades 1 and 2, with the first grade latent traits accounting for 52 and 55% of the variance in second grade written expression and spelling, respectively. At both grades, the Language and Attention/Executive Functions latent traits were more highly associated with written expression and spelling than the Fine-Motor latent trait.     

Multidimensional relevance: Prioritized aggregation in a personalized Information Retrieval setting

A new model for aggregating multiple criteria evaluations for relevance assessment is proposed. An Information Retrieval context is considered, where relevance is modeled as a multidimensional property of documents. The usefulness and effectiveness of such a model are demonstrated by means of a case study on personalized Information Retrieval with multi-criteria relevance. The following criteria are considered to estimate document relevance: aboutness, coverage, appropriateness, and reliability.