Predictive models of student success can provide timely information to inform interventions in K-12 and higher education. However, the design and implementation of these predictive models require various stakeholders to make decisions about the prediction target, data sources, processing, training, models, and deployment strategies. These choices…

The role of social media in the global society and economy has increased substantially over the years across different populations, age groups, and contexts. Using social media can be both beneficial and risky. People's ability to navigate it safely and effectively largely depends on their social media literacy skills, which has significant…

The rise of artificial intelligence (AI) has made life and work easier; however, AI has also made it almost impossible to determine whether the information we consume is legitimate, AI-generated, or AI-manipulated. This paper examines how the use of artificial intelligence, specifically GPT-4, Gemini Advanced, and Claude Opus, can aid a user in…

Recent progress made in conversational AI lays emphasis on the need for development of language models that possess solid logical reasoning skills and further extrapolated capabilities. An examination into this phenomenon investigates how well the Capybara dataset can improve one's ability to reason using language-based systems. Multiple…

This study examines 39 education doctorate (EdD) dissertations that were completed by members of five cohorts of EdD students from the University of Nebraska-Lincoln's (UNL) Department of Teaching, Learning, and Teacher Education (TLTE) to consider what constitutes an alternative dissertation. All of the dissertation authors began their EdD…

This qualitative research uses an ecopedagogy and decolonial lens to explore how child-authors represented environmental educators as characters in ecofiction/climate fiction storybooks. Thirty storybooks authored by 10-15-year olds were thematically analyzed. Data from interviews, focus group discussions (FGD), reflections, and blogposts were…

Algorithmic bias is a pressing concern in educational data mining (EDM), as it risks amplifying inequities in learning outcomes. The Area Between ROC Curves (ABROCA) metric is frequently used to measure discrepancies in model performance across demographic groups to quantify overall model fairness. However, its skewed distribution--especially when…

In an educational setting, an estimate of the difficulty of Multiple-Choice Questions (MCQs), a commonly used strategy to assess learning progress, constitutes very useful information for both teachers and students. Since human assessment is costly from multiple points of view, automatic approaches to MCQ item difficulty estimation are…

In this article I draw on existing theory in a project of synthesis and integration to develop a terminological, conceptual, and graphic model for understanding the scope of critical thinking. I begin by showing why the idea of critical scope matters. I then develop a model that maps the scope of critical thinking across individual, sociocultural,…

Gamification, when properly implemented in education and training, can increase the engagement and motivation of learners and inspire them to change aspects of their behaviour to support learning. Although the use of gamification in the learning process might have a positive impact, its potential to strengthen education and training has not yet…

Regression discontinuity (RD) designs are increasingly used for causal evaluations. However, the literature contains little guidance for conducting a moderation analysis within an RDD context. The current article focuses on moderation with a single binary variable. A simulation study compares: (1) different bandwidth selectors and (2) local…

This book asks whose histories, knowledges, struggles, sorrows, joys, dreams, and expertise matter in teacher education and teacher residencies. It conceives of teacher residencies as a space for the multiplicity of voices and experiences needed to create opportunities for more democratic education and explores how this might be achieved despite…

Community colleges are positioned in an ecosystem of complex organizational conditions and have a multitude of external factors influencing their context. This context demands systemic change work that is complex, which requires community college leaders to be adaptable to their organizational landscape. In this article, we provide key insights…

Many large-scale assessments model proficiency with a latent regression on contextual variables. Item-response data are used to estimate the parameters of the latent variable model and are used in conjunction with the contextual data to generate plausible values of individuals' proficiency attributes. These models typically incorporate numerous…

The deepened understandings of the Double Reduction policy have instigated a transition from focusing on reduction in homework quantity to emphasizing homework quality in Chinese basic education. The digital transformation in education offers new opportunities to address the current issues with homework management, such as unscientific design of…