Word-problem features such as text complexity, charts and graphs, position of the unknown, calculation complexity, irrelevant information, and schemas impact word-problem performance. We compared the word-problem performance of typically achieving (TA) students and students with mathematics difficulty (MD). First, we measured the word-problem…

The purpose of this study was to explore how evaluators justify using story-based methodologies when examining causality. The two primary research questions of the study included: 1) what arguments are made by evaluators to justify the credibility of story-based causal methodologies to evaluation stakeholders; and 2) from the perspective of…

This study explored student perceptions regarding persistence in online coursework at the community college level. Using a case study design and thematic analysis, the researcher conducted focus group interviews and then identified themes related to the academic, economic, and social supports and barriers that impacted student persistence at one…

American society and schools are increasingly recognizing the importance of tending to children's social-emotional learning (SEL). According to social learning theory, one way children learn social-emotional skills, knowledge, and mindsets is by observing others--including their teachers. It is thus important that teachers model the same…

Sexual assault of women is common on college campuses, but the vast majority of victims do not make a formal report. It is imperative to understand these decisions to help design and implement policies to normalize and encourage reporting. This study aimed to extend science on the thematic reasons for non-reporting by (1) establishing validity for…

Research Context: In educational research, "context effects" are often of inferential interest to researchers as well as of evaluative interest to policymakers. While student education outcomes likely depend on individual-level influences like individual academic achievement, school contexts may also make a difference. Such questions are…

Few studies on teachers' social networks have extended their scopes from schools to online, leaving gaps and the potential to study how school and district colleagues as well as online-only peers can exert a network influence on teachers' online resource curation activities. These studies have underused the relational-event social-influence model…

Practice in real-world settings exhibits many idiosyncrasies of scheduling and duration that can only be roughly approximated by laboratory research. Here we investigate 39,157 individuals' performance on two cognitive games on the Lumosity platform over a span of 5 years. The large-scale nature of the data allows us to observe highly varied…

Before creating and implementing a new program of research, it is necessary to consider a theoretical or conceptual framework to guide this planning process. Considering there are many models and frameworks available in terms of directing the development of research programs (e.g., the program development model, the logic model), researchers want…

This article provides an overview of different computational options for inference following normal theory maximum likelihood (ML) estimation in structural equation modeling (SEM) with incomplete normal and nonnormal data. Complete data are covered as a special case. These computational options include whether the information matrix is observed or…

A recent study conducted by the American Psychological Association (APA) on school violence observed an emerging trend of in-school violence committed by students on school faculty and staff (McMahon et al., 2022). As a result, educators have increasingly factored student-related violence on adult stakeholders in their decisions regarding teacher…

The successful irruption of AI-based technology in our daily lives has led to a growing educational, social, and political interest in training citizens in AI. Education systems now need to train students at the K-12 level to live in a society where they must interact with AI. Thus, AI literacy is a pedagogical and cognitive challenge at the K-12…

There is a growing body of empirical evidence documenting the positive effects associated with participation in environmental education and outdoor learning for students, teachers and the wider community. Despite this, there has been a substantial reduction in outdoor learning opportunities for school students, possibly due to the focus on…

Machine Learning concept learns from experiences, inferences and conceives complex queries. Machine learning techniques can be used to develop the educational framework which understands the inputs from students, parents and with intelligence generates the result. The framework integrates the features of Machine Learning (ML), Explainable AI (XAI)…

In recent years, several role-modelling initiatives have been testing and exploring the use of digital technologies to facilitate young people's encounters with role models in the science, technology, engineering, and mathematics (STEM) fields. The aim of this article is twofold. Firstly, through a literature review, the article aims to provide an…