Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data--both genetic and behavioral--that are collected as part of scientific studies or a part of treatment can provide a deeper,…

Researchers in gifted and talented education (GATE) have increasingly taken on the role of advocating equity and access for minoritized populations. However, subgroups of racially and ethnically diverse students are rarely disaggregated from monolithic racial and ethnic categories. Studies on academic achievement of Asian American and White…

When conceived of as both a research strategy and mode to present findings, vignettes can be combined with various qualitative methodologies in higher education research. Rather than being a discipline unto itself, higher education research is best understood as a multi and cross-disciplinary field of study that, we contend, is made richer by its…

For a few decades, map skills stay at the forefront of not only geographers' and geographic educators' research interest. To identify what has already been accomplished, where the research currently stands and where the potential for future studies lies, a review of the literature was carried out. Specifically, this comprehensive synthesis of map…

The growth of Learning Analytics (LA) as a research field has been extensively documented since its beginnings. This paper provides a broad overview of the publications that Latin American authors have published in the last years by performing a quantitative review of the literature (from 2011 to 2019). A total of 282 papers were collected and…

The present study aimed to review the articles published in Turkey on electronic books. In the study, descriptive content analysis method was employed. In the study, national databases such as UlakbimUVT, Asos Index, Turkish Education Index (TEI) and international databases such as ERIC, DOAJ, EBSCO, Google Scholar and past issues of educational…

Measuring race and ethnicity for administrative data sets and then analyzing these data to understand racial/ethnic disparities present many logistical and theoretical challenges. In this chapter, we conduct a synthetic review of studies on how to effectively measure race/ethnicity for administrative data purposes and then utilize these measures…

This project was a qualitative longitudinal research study into cultural and structural change in an English secondary school. The schools' consistent underperformance led to its conversion to "academy" status as part of a development under the Labour administration of 1997-2010. The Labour policy for academization was designed, first,…

This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…

Scientific results are communicated visually in the literature through diagrams, visualizations, and photographs. In this thesis, we developed a figure processing pipeline to classify more than 8 million figures from PubMed Central into different figure types and study the resulting patterns of visual information as they relate to scholarly…

Sociolinguists have made considerable headway in identifying and describing the relationship between mobility, linguistic resources, and forms of inequality. Despite such advances, however, we argue that it is as important as ever to continue to rethink what kinds of phenomena are analyzed, the distinctions and categories that might be imposed on…

A deluge of empirical research became available on MOOCs in 2013-2015 and this research is available in disparate sources. This paper addresses a number of gaps in the scholarly understanding of MOOCs and presents a comprehensive picture of the literature by examining the geographic distribution, publication outlets, citations, data collection and…

This article describes a predictive model that assesses whether a student will have greater perceived learning in group assignments or in individual work. The model produces correct classifications 87.5% of the time. The research is notable in that it is the first in the education literature to adopt a predictive modeling methodology using data…

Introduction: Star and Bowker describe the residual as what does not fit into a category system and as an inevitable byproduct of classification. In this project, we explore what happens when we attempt to give prominence to the residual instead of minimizing it. Methods: The three authors created three "transformations" of a small…

This study reviews a selected sample of 274 research articles on ELT, published between 2005 and 2015 in Turkish contexts. In the study, 15 journals in ULAKBIM database and articles from national and international journals accessed according to convenience sampling method were surveyed and relevant articles were obtained. A content analysis was…