Attributing negative categories such as 'weak' to pupils is a common practice in Sweden and a known phenomenon worldwide. While there has been a substantial amount of research on different expressions of 'deviance' in the educational arena, the research on how teachers communicate about pupils as 'weak' is scarce. In this study, teachers'…

In this article, we demonstrate the potential of machine learning approaches as inductive analytic tools for expanding our current evidence base for policy making and practice that affects people with intellectual and developmental disabilities (IDD). Using data from the National Core Indicators In-Person Survey (NCI-IPS), a nationally validated…

This present study was designed to investigate whether face-type (stereotypical or nonstereotypical) facilitates stereotype-consistent categorization and decision-making. Previous literature suggests an associative link between adults' stereotypically Black facial features and assumed criminality. The question addressed here is whether the…

Purpose: This paper presents a reclassification of markers for mixed reality environments that is also applicable to the use of markers in robot navigation systems and 3D modelling. In the case of Augmented Reality (AR) mixed reality environments, markers are used to integrate computer generated (virtual) objects into a predominantly real world,…

When text datasets are very large, manually coding line by line becomes impractical. As a result, researchers sometimes try to use machine learning algorithms to automatically code text data. One of the most popular algorithms is topic modeling. For a given text dataset, a topic model provides probability distributions of words for a set of…

Studies measuring online learning have adopted different perspectives, resulting in different approaches to their assessment of online learning. However, when we consider the literature from a wider angle, there may be complimentary or contrasting relationships. This study performed content analysis on a total of 44 studies that used…

With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data. To this end, we developed a physiological computing infrastructure to collect physiological data, surveys, and browsing behavior data to capture students' learning journey in…

The urban education typology put forth by Milner (Urban Educ 47(3):556-561, 2012) offered a conceptual demarcation of three different, yet interconnected types of urban school districts (i.e., urban intensive, urban emergent, and urban characteristic). Nearly one decade after Milner's seminal urban education typology, few empirical or conceptual…

Measures of positive well-being are needed to support the shift away from a deficit-based approach to mental health. This study examined one measure, the Mental Health Continuum-Short Form (MHC-SF), as a measure of positive well-being used in school-based mental health monitoring efforts. This study used latent profile analysis (LPA) to explore…

The purpose of this study was to understand how academic deans describe the competing logics influencing academic program development. Semi-structured interviews were used to collect data from eight participants employed as academic deans in mid-sized, private universities with a Basic Carnegie Classification as a Doctoral University. The study…

Purpose: The general goal of this paper is to help educators understand the importance of MOOC training to school teachers and their hypothetical value for predicting the use of teaching strategies in the face-to face-classroom teaching. With this purpose, the study is guided by two research questions: (1) Are there different patterns of…

Entrepreneurship education in colleges and universities influences college students' entrepreneurial intention and entrepreneurial self-efficacy, but previous studies have approached entrepreneurship education as a whole to obscure the relational mechanisms between the three. On the basis of the classification framework of theoretical and…

Since the early 2000s, the use of the term presentism has rapidly increased in both the historical discipline and public discussions of history. Most recently, presentism has been widely discussed and debated in articles about the pulling down and defacement of statues in countries around the world inspired by the 2020 Black Lives Matter protests.…

During emergency remote teaching (ERT) process, factors affecting the achievement of students have changed. The purposes of this study are to determine the variables that affect the classification of students according to their course achievements in ERT during the pandemic process and to examine the classification performance of machine learning…

The ability to categorize emotions has long-term implications for children's social and emotional development. Therefore, identifying factors that influence early emotion categorization is of great importance. Yet, whether and how language impacts emotion category development is still widely debated. The present study aimed to assess how labels…