This qualitative research study explored second graders' use of visual information to understand characters in picturebooks. Students participated in whole class read-alouds of three picturebooks. Immediately following each read-aloud, students were individually interviewed and invited to talk about the visual text in pre-selected illustrations.…

The paper deals with physics teaching/learning in high school. An investigation in three upper secondary school classes in Italy explored the reactions of students to a structuring lecture on optics within the discipline-culture (DC) framework that organises physics knowledge around four interrelated fundamental theories of light. The lecture…

Educators need to become more assessment literate. When they do, they will be able to use assessments better to guide their teaching and communicate their expectations and results with students and the broader education stakeholders and audiences.

Introduction: The study investigates about the reality of inclusive education in Palestine according to the opinion of their teachers. It is presented in the legislative and social framework of education in Palestine and compares it with current knowledge in inclusive education, from which a series of essential elements for inclusive education can…

This dissertation presents a multidisciplinary means of determining the actual content (foodstuff, non-foodstuff, or lack of contents) of Classic Mayan (A.D. 250-900) vessels. Based on previous studies that have identified the residues of foodstuffs named in hieroglyphic texts (e.g. cacao), this study is designed to further investigate foodstuff…

In recent years, the educational data mining and user modeling communities have been aggressively introducing models for predicting student performance on external measures such as standardized tests as well as within-tutor performance. While these models have brought statistically reliable improvement to performance prediction, the real world…

It is good scientific practice to the report an appropriate estimate of effect size and a confidence interval (CI) to indicate the precision with which a population effect was estimated. For comparisons of 2 independent groups, a probability-based effect size estimator (A) that is equal to the area under a receiver operating characteristic curve…

The application of the formal framework of causal Bayesian Networks to children's causal learning provides the motivation to examine the link between judgments about the causal structure of a system, and the ability to make inferences about interventions on components of the system. Three experiments examined whether children are able to make…

In German, nouns are assigned to one of the three gender classes. For most animal names, however, the assignment is independent of the referent's biological sex. We examined whether German-speaking children understand this independence of grammar from semantics or whether they assume that grammatical gender is mapped onto biological sex when…

The identification of differential item functioning (DIF) is often performed by means of statistical approaches that consider the raw scores as proxies for the ability trait level. One of the most popular approaches, the Mantel-Haenszel (MH) method, belongs to this category. However, replacing the ability level by the simple raw score is a source…

This study introduced various nonlinear growth models, including the quadratic conventional polynomial model, the fractional polynomial model, the Sigmoid model, the growth model with negative exponential functions, the multidimensional scaling technique, and the unstructured growth curve model. It investigated which growth models effectively…

Applied researchers often find themselves making statistical inferences in settings that would seem to require multiple comparisons adjustments. We challenge the Type I error paradigm that underlies these corrections. Moreover we posit that the problem of multiple comparisons can disappear entirely when viewed from a hierarchical Bayesian…

Many states now possess the data and statistical methods that can produce teacher value-added scores and link them to preparation programs. It is important to understand the limitations of these measures and the inferences that they do and do not support. These limitations fall into three categories. First, value-added measures (VAM) provide…

We propose a new method of structural equation modeling (SEM) for longitudinal and time series data, named Dynamic GSCA (Generalized Structured Component Analysis). The proposed method extends the original GSCA by incorporating a multivariate autoregressive model to account for the dynamic nature of data taken over time. Dynamic GSCA also…

In this study, data envelopment analysis (DEA) is used to compute efficiency scores for a sample of Italian schools by employing OECD-PISA2006 data aggregated at school level. Efficiency has been defined as the ability to transform inputs (resources, student background, etc.) into outputs (student achievement). Different versions of the DEA models…