Education Transformation in the Industrial Revolution 4.0 era demands early-childhood teachers to possess pedagogical competencies that are not only theoretical but also innovative, creative, and contextual. These competencies are essential for supporting the holistic development of young children, encompassing cognitive, social, emotional, and…

The field of vocabulary instruction has witnessed the emergence of three models that operationalize the construct of elaborate processing and thus help predict the effectiveness of vocabulary learning activities: Involvement Load Hypothesis (ILH), Involvement Load Hypothesis Plus (ILH Plus), and Technique Feature Analysis (TFA). However, no…

Assessing achievement is a complex task due to its dependence on multiple factors and the hierarchical structure of educational data, yet surveys like TIMSS offer valuable insights into its determining factors like students' mathematics anxiety. However, disregarding the nested structure of data and ignoring the assumptions of models causes poor…

The rapid emergence of generative artificial intelligence (GenAI) in academic settings has led to growing concerns about its impact on writing and assessment practices. This paper reviews the latest literature on detecting GenAI-generated content and explores the challenges and potential solutions faced by educators. This study identifies various…

Mentoring can have an equalizing impact on educational outcomes by critically taking on the deeper issues around oppression and marginalization while bringing to light the cultural and institutional roots of intrapsychic (e.g. implicit bias) and interpersonal racism (e.g. microaggressions). Educators of teacher candidates have two openings for…

Assessment of student learning at the United States Military Academy (USMA) is a relatively new process. The USMA faces an additional challenge, as many of its instructors and professors are active-duty military officers who rotate through two- to three-year teaching assignments before transitioning back to the Army. To address this challenge, the…

The purposes of this study were to propose a model of cognitive learning outcomes in outdoor education and examine their relationships with two antecedents (quality of support resource and involvement) and one consequence (satisfaction). A total of 343 physical education student teachers in Singapore completed a questionnaire upon completion of a…

Methods to handle ordered-categorical indicators in latent variable interactions have been developed, yet they have not been widely applied. This article compares the performance of two popular latent variable interaction modeling approaches in handling ordered-categorical indicators: unconstrained product indicator (UPI) and latent moderated…

This chapter focuses on the topic of place-based identity, including how place has both objective and subjective components that are best understood within the system of urbanormativity. This model is then situated within the Reconceptualized Model of Multiple Dimensions of Identity and implications for student affairs practices are shared.

This paper characterizes the ways in which increased attention to response process data has implications for psychometrics. To do so, this work draws on two organizing frameworks that have heretofore not been associated: evidence-centered design, and the distinction between greater and lesser statistics. Overlaying these frameworks leads to a…

The work presented in this paper examines part of a broader issue in the field of technology-enhanced learning and focused on Massive Open Online Courses environments (MOOC). The main goal is to provide an approach, models and tools to assist teachers in the scenario design process and the operationalization of pedagogical scenarios in a…

Recently, inspirational articles on research methodology have been written on the development of the mixed-methods approach. This area of study concerns methodological trends in the construction of research designs. One may ask, whether it is possible to construct a notional piece of investigation, potentially highlighting a research design that…

When students are solving problems they often turn to examples when they need assistance. Examples are helpful because they illustrate how a problem can be solved. However, when examples are very similar to the problems, students default to copying the example solutions, which hinders learning. To address this, prior work has investigated the…

In this article, we propose a variational Bayes (VB) inference method for the deterministic input noisy AND gate model of cognitive diagnostic assessment. The proposed method, which applies the iterative algorithm for optimization, is derived based on the optimal variational posteriors of the model parameters. The proposed VB inference enables…

This study investigates polytomous item explanatory item response theory models under the multivariate generalized linear mixed modeling framework, using the linear logistic test model approach. Building on the original ideas of the many-facet Rasch model and the linear partial credit model, a polytomous Rasch model is extended to the item…