Background: The emergence of causal research in education was almost strictly quantitative twenty years ago, however, that landscape has changed considerably. The number of intervention studies fielded and completed annually has increased substantially, and the quality of the evaluations is much more robust, including paying much greater attention…

This article presents findings from a critical review of 163 peer-reviewed articles on the growth of private higher education (HE) cross-nationally. Our review finds that the vast majority of studies on the development of private HE are country-specific case studies, with few comparative or cross-national studies. Moreover, most studies endorse a…

Educational research outcomes frequently rely on an assumption that measurement metrics have interval-level properties. While most investigators know enough to be suspicious of interval-level claims, and in some cases even question their findings given such doubts, there is a lack of understanding regarding the measurement conditions that create…

In using large language models (LLMs) for education, such as distractors in multiple-choice questions and learning by teaching, error-containing content is used. Prompt tuning and retraining LLMs are possible ways of having LLMs generate error-containing sentences in the learning content. However, there needs to be more discussion on how to tune…

Inequities in STEM persist, notably in underrepresented groups relating to gender, race, socio-economic status, and disability. The purpose of this study was to explore correlations between STEM identities, personal identities, mentor-related experiences, and academic/career persistence of undergraduate students in Idaho public post-secondary…

Given the rapid adoption of machine learning methods by education researchers, and the growing acknowledgment of their inherent risks, there is an urgent need for tailored methodological guidance on how to improve and evaluate the validity of inferences drawn from these methods. Drawing on an integrative literature review and extending a…

The Tactical Games Model (TGM) is summarized as a physical education model where the emphasis is on developing the underlying core components of games and sports to develop the tactical and performance skills of participants, known as game performance (Metzler, 2011). The Sport Education Model (SEM) is a physical education model structured and…

Nowadays, the need for e-learning is amplified, especially after the COVID-19 pandemic. E-learning platforms present a solution for the continuity of the learning process. Learners are using different platforms and tools for learning. For this, it is necessary to model the learner for the personalization of the learning environment according to…

As artificial intelligence (AI) technologies are increasingly pervasive in our daily lives, the need for students to understand the working mechanisms of AI technologies has become more urgent. Data modeling is an activity that has been proposed to engage students in reasoning about the working mechanism of AI technologies. While Computational…

In this article, I advocate for an enriched view of children's linguistic input, with the aim of building sustainable and tangible links between theoretical models of language development and families' everyday experiences. Children's language experiences constrain theoretical models in ways that may illuminate universal learning biases. However,…

Purpose: Critically, to improve and manage online learning quality (OLQUAL), higher education providers need to regularly measure OLQUAL. Hence, a reliable measure of OLQUAL in higher education from the students' perspective is indispensable. Further, as a pioneer in examining OLQUAL outcomes in the online education context, we assert that…

There is increasing evidence supporting the effectiveness of the Early Start Denver Model (ESDM) for children on the autism spectrum. However, substantial variability in response to the ESDM has been reported across participants. We examined the plausible yet untested hypothesis that variations in the fidelity level of therapists delivering the…

Agent-based modeling is a promising tool for familiarizing students with complex systems as well as programming skills. Human-environment systems, for instance, entail complex interdependencies that need to be considered when modeling these systems. This complexity is often neglected in teaching modeling approaches. For a heterogeneous group of…

We conducted an open-trial proof of concept study to determine the safety, acceptability, and feasibility of Mindful Self-Care for Caregivers (MSCC) for parents of children with Autism Spectrum Disorders (ASD) (N = 13). The intervention was offered as a co-located care model in a pediatric specialty center where the participants' children received…

This work presents the intelligent tutoring system, EvoLogic, developed to assist students in problems of natural production in propositional logic. EvoLogic has been modeled as a multiagent system composed of three autonomous agents: interface, pedagogical and specialist agents. It supports pedagogical strategies inspired by the theory of…