This study was conducted to analyze potential item parameter drift (IPD) impact on person ability estimates and classification accuracy when drift affects an examinee sub-group. Using a series of simulations, three factors were manipulated: (a) percentage of IPD items in the CAT exam, (b) percentage of examinees affected by IPD, and (c) item pool…

In the last decade, the prevalence of children with autism spectrum disorder (ASD) without intellectual disability (ID) in schools has increased. However, there is a paucity of information on special education placement, service use, and relationships between service use and demographic variables for children with ASD without ID. This study aimed…

Multi-word sequences are important components of language because they are building blocks that can be used to create long stretches of discourse. They are word combinations that have particular importance because of their co-occurrence and function in discourse that suggest that they are stored and retrieved from memory as a whole rather than as…

We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…

Molecular orbital configurations give rise to electronic terms comprising corresponding electronic states. Electronic terms possess symmetry classifications, which are denoted by a term symbol, based on the symmetry properties of the electronic wave functions associated with the states. Using the methylene radical, and both planar and twisted…

This study examined Americans' attitudes toward standard American English (SAE) and nine, non-Anglo foreign accents: Arabic, Farsi, French, German, Hindi, Hispanic, Mandarin, Russian, and Vietnamese. Compared to SAE speakers, all foreign-accented speakers were rated as harder to understand, more likely to be categorised as foreign (rather than…

The main purpose of this paper is the functional analysis and argumentation of text connectors as tools for implementation of the textual connectivity not only in the local but also global context. Given the comparative nature of this paper, we will be comparing typology and relationships expressed by the connectors in some of the argumentative…

This study explores and characterizes learners' participation patterns in MOOC forums, as well as the factors that correlate with learners' participation. Educational data mining and learning analytics methods were used to retrieve and analyze the learners' interpersonal interaction data, which had accumulated in the Coursera log files. The…

This article analyses an assessment initiative known as the Basic Competency Assessment (BCA) in Hong Kong using Bernstein's performance and competence models of pedagogic practice. On the one hand, BCA is aligned with a competence model through its official projection as a low-stakes, student-focussed and formative assessment. However, an…

In this article I reflect on Turnbull's reframing of foreign language education through a bilingual framework. I argue that in order for this important shift to be generative, foreign language education must shed the strong link between language and nation-state that has been at the core of foreign language epistemologies. That is, foreign…

The purpose of this study was to classify Korean readers into subgroups based on their reading achievement and to examine the relationships between these subgroups and a set of cognitive-linguistic variables. The reading achievement and cognitive-linguistic skills of 394 elementary school students were measured and the data were analyzed by…

This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…

The main objective of the article is to compare several methods of evaluating multiple-choice options through classical item analysis. The methods subjected to examination include the tabulation of choice distribution, the interpretation of trace lines, the point-biserial correlation, the categorical analysis of trace lines, and the investigation…

Principal component analysis (PCA) is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. Running a PCA results in two main elements, the score plot and the loading plot; the score plot provides the location of the samples, and the loading plot indicates correlations among variables, the trends in…

Statement of Purpose and Method of Study: Historically, Mississippi has lagged behind the rest of the nation in student achievement and funding for education. This comparative quantitative study investigated whether significant differences in student achievement as measured by mean composite ACT scores of high school juniors in Mississippi public…