Social entrepreneurs don't lack ambition. Being a social entrepreneur requires an irrational belief in the power of one's work to transform a world in dire need of change. Just look at the scale and degree of change embodied in any social impact organization's vision and mission statements about the transformation it aspires to create for the…

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…

What is pedagogy, exactly? "Merriam-Webster" defines it simply as "the art, science, or profession of teaching." In contemporary academic discourse, however, pedagogy is generally left undefined -- with its apparent implicit meanings ranging anywhere from a specific "model for teaching" (e.g., behaviorist or…

Outcomes from a large cluster-randomized study of "Second Step"©, a commonly adopted universal SEL program, have previously demonstrated small, teacher-reported effects on social-emotional competencies for subgroups of students. Given the size of investment in large RCT studies, and in SEL programming, replication attempts are warranted,…

This article aims to analyze the experiences of teachers on the uses of ICTs in the development of teaching practices within the framework of a new learning ecology. We use the SAMR model to scale the levels of ICTs contributions in each practice. 116 teachers from a public educational institution in Brazil answered a questionnaire during the…

This study developed an Adolescents' Uncertainty Scale (AUS), with the aim of understanding individual differences in uncertainty among adolescents. In the pretest phase, 507 ninth-grade students were recruited. After exploratory factor analyses, a 25-item AUS with four dimensions--irresoluteness, instability, lack of self-knowledge, and…

Cognitive diagnosis models (CDMs) are the statistical framework for cognitive diagnostic assessment in education and psychology. They generally assume that subjects' latent attributes are dichotomous--mastery or nonmastery, which seems quite deterministic. As an alternative to dichotomous attribute mastery, attention is drawn to the use of a…

During the distance education process caused by COVID-19, students do not have sufficient opportunity to do pedagogical practice, which requires strengthening their practice-oriented component of learning in other forms. This article substantiates the relevance of quasi-professional educational environment in the system of professional training of…

Individuals with autism increasingly enroll in universities, but little is known about predictors for their success. This study developed predictive models for the academic success of autistic bachelor students (N = 101) in comparison to students with other health conditions (N = 2465) and students with no health conditions (N = 25,077). We…

To model behavioral and neural correlates of language comprehension in naturalistic environments, researchers have turned to broad-coverage tools from natural-language processing and machine learning. Where syntactic structure is explicitly modeled, prior work has relied predominantly on context-free grammars (CFGs), yet such formalisms are not…

Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…