Artificial intelligence (AI) and data science (DS) are receiving a lot of attention in various fields. In the educational field, the need for education utilizing AI and DS is also being emerged. In this context, we have created an AI/DS integrating program that generates a compound classification/regression model using characteristics of compounds…

The terms Language Disorder, Developmental Language Disorder (DLD), Language-based learning disabilities, Specific Learning Disorder, and Specific Learning Disability are commonly used to describe children struggling to learn at school. In this position paper, the definitions and distinctions between these terms are discussed, and key overlaps and…

The terms Language Disorder, Developmental Language Disorder (DLD), Language-based learning disabilities, Specific Learning Disorder, and Specific Learning Disability are commonly used to describe children struggling to learn at school. In this position paper, the definitions and distinctions between these terms are discussed, and key overlaps and…

Scientific literacy not only involves scientific content relative to each branch of science, as a scientifically literate person is also aware of what science is, as well as how it operates in a broader and complex sense. Therefore, in order to develop and implement successful methodologies in the classroom aiming to improve students' scientific…

Over the past decade, statisticians have developed methods to improve generalizations from nonrandom samples using propensity score methods. While these methods contribute to generalization research, their effectiveness is limited by small sample sizes. Small area estimation is a class of model-based methods that address the imprecision due to…

A simulation study was conducted to investigate the heuristics of the SIBTEST procedure and how it compares with ETS classification guidelines used with the Mantel-Haenszel procedure. Prior heuristics have been used for nearly 25 years, but they are based on a simulation study that was restricted due to computer limitations and that modeled item…

A common problem in the analysis of multiple data sources, including individual participant data meta-analysis (IPD-MA), is the misclassification of binary variables. Misclassification may lead to biased estimators of model parameters, even when the misclassification is entirely random. We aimed to develop statistical methods that facilitate…

Music preferences have been shown to be determined by a diversity of factors such as cognitive, emotional, cultural, or experiential. Having studied music is also a factor that has been considered from a musicology standpoint and is linked to the accumulation of cultural capital, as analyzed in cultural economics, arts management, and the…

We created a list of more than 140 tools that can be used to create tutoring systems, from complete tutoring systems to low-level tools for preparing instructional materials. Based on this list, we present a preliminary ontology of system dimensions that can serve as a base for a comprehensive review or in building systems. We also note that: (a)…

In describing how people generalize from observed samples of data to novel cases, theories of inductive inference have emphasized the learner's reliance on the contents of the sample. More recently, a growing body of literature suggests that different assumptions about how a data sample was generated can lead the learner to draw qualitatively…

We investigated the effect of careless or insufficient effort (C/IE) responses in a study using Amazon's Mechanical Turk. A factor mixture model was used to identify latent classes based on the pattern of responses with biases and examine the effect of C/IE responses on the fit of the theoretical model.

This study provides empirical evidences on the differentiation of the academic community amid the latest classified reform of faculty evaluation, highlighted by up-or-out policy in the non-research university context in China. The systematic data analysis sketches out faculty's segmentation and four characterizations including academic…

This paper presents a cartography of the digital literacy academic field. Such cartography is comprised of two sections: a categorization of the field through literature review and analysis, and an exploration of its main issues through thematic and network analysis. On the one hand, five conceptual categories of digital literacies are found:…

In this ethnographic study, I present a single school's practice of registering and analysing absence from school. I show that teachers use various "dirty," interpretational contexts for understanding absence and make it classifiable in "clean" attendance categories -- a move that decontextualises the meaning of absence. When…

Many innovations that are implemented in schools are initially successful, but fail to become part of the schools' habits and routines. Relatively little research has followed innovations in schools for a long(er) time. In addition, few reforms last long enough to be studied longitudinally. In this exploratory study, the authors aim to find a way…