In the context of Artificial Intelligence, Generative Adversarial Nets (GANs) allow the creation and reproduction of artificial data from real datasets. The aims of this work are to seek to verify the equivalence of synthetic data with real data and to verify the possibilities of GAN in educational research. The research methodology begins with…

There exists a variety of interval estimators for the overall treatment effect in a random-effects meta-analysis. A recent literature review summarizing existing methods suggested that in most situations, the Hartung-Knapp/Sidik-Jonkman (HKSJ) method was preferable. However, a quantitative comparison of those methods in a common simulation study…

Conventional estimators for indirect effects using a difference in coefficients and product of coefficients produce the same results for continuous outcomes. However, for binary outcomes, the difference in coefficient estimator systematically underestimates the indirect effects because of a scaling problem. One solution is to standardize…

Commonly used machine learning applications seem to relate to big data. This article provides a gentle review of machine learning and shows why machine learning can be applied to small data too. An example of applying machine learning to screen irregularity reports is presented. In the example, the support vector machine and multinomial naïve…

The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…

During the Fall 2017 semester, staff at the Hudson County Community College (HCCC), Library began to notice that many books listed as available in the catalog were often not being found on the shelves when patrons attempted to retrieve them. This situation puzzled library leadership because HCCC had recently conducted an inventory and removed all…

Researchers strive to create learning environments where they can apply technology and different teaching methods together. Flipped learning has been a popular approach in recent years because it offers opportunities for both online and offline learning. The present study aims to conduct a thematic analysis of articles on the use of the flipped…

Background: Adults with intellectual disability experience disparities in social determinants of health and health outcomes. While new knowledge can advance health equity, adults with intellectual disability are frequently excluded from being direct respondents in research. Their inclusion requires addressing scientific and ethical challenges that…

Parents of children who are deaf or hard of hearing have long attracted interest from researchers, though, since the 1990s, published research about this population has increasingly gravitated toward issues surrounding pediatric cochlear implantation. This scoping review was undertaken to map the nature, extent, and range of three decades of…

We conducted a systematic literature review examining the participant characteristics of studies of students with emotional disturbance (ED) with the purpose of better understanding potential similarities and differences between students with ED in research and the population of students with ED. Results indicate (a) participants with reported…

More than 300 million people use the gamified mobile-assisted language learning (MALL) application (app) Duolingo. The challenging tasks, reward incentives, systematic levels, and the ranking of users according to their achievements are just some of the elements that demonstrate strong gamification elements within this popular language learning…

Purpose: In the early 1980s, researchers and speech-language pathologists (SLPs) collaborated to develop the Systematic Analysis of Language Transcripts (SALT). Research and development over the ensuing decades has culminated into SALT Solutions, a set of tools to assist SLPs to efficiently complete language sample analysis (LSA) with their…

The study aimed to conduct a systematic literature review to identify the trends, impacts, and challenges of mobile microlearning (MML) research. Using five academic databases from the fields of social science, engineering, and medical science as search sources, 26 scholarly articles, published between 2015 and 2020, were retrieved. The study…

This research aimed to determine the trends related to blended learning studies conducted in science education through descriptive content analysis. This study was performed using the document review method. For this purpose, 120 studies on blended learning in science education were determined between 2005 and 2022 in the Web of Science (WoS)…

The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…