The Gamification Game ON! Starter Kit provides educators with resources and instruction to create a gamified classroom. This kit aims to simplify the process for educators while maintaining their creative freedom, and outlines a summary of the research, design, and development of an educator kit to incorporate gamification in their classroom.…

Latent change score (LCS) models are a powerful class of structural equation modeling that allows researchers to work with latent difference scores that minimize measurement error. LCS models define change as a function of prior status, which makes it well-suited for modeling developmental theories or processes. In LCS models, like other latent…

Blended learning (BL), also known as hybrid or flipped classroom learning, is a method that involves both traditional face-to-face teaching and online media instruction. The problem experienced in South Texas school districts (STSD), despite research showing evidence of the BL model's benefits, is that some teachers are struggling to implement BL…

The transition from high school to college is a crucial period for students, marked by personal and academic growth as they adapt to a more independent higher education environment. First-year seminars are offered by colleges and universities to support this transition, emphasizing the importance of instructors recognizing and treating students as…

Instructional coaching is used as a form of professional development to support teaching and learning in many school districts. To address the needs of the teacher relevant to improving instructional practices, instructional coaches employ the coaching model. The coach model serves as a strategy to determine the approach needed to support teacher…

In psychology, researchers are often interested in testing hypotheses about mediation, such as testing the presence of a mediation effect of a treatment (e.g., intervention assignment) on an outcome via a mediator. An increasingly popular approach to testing hypotheses is the Bayesian testing approach with Bayes factors (BFs). Despite the growing…

Children with autism spectrum disorder (ASD) may have difficulty acquiring intraverbal behavior. The present study compared manipulations of stimulus salience (i.e., volume increase, elongation) to teach intraverbals (e.g., "You drink [juice]" and "You drink from [cup]") to three participants diagnosed with ASD whose…

This paper offers guidance on employing open and creative methods for co- designing critical data and artificial intelligence (AI) literacy spaces and learning activities, rooted in the principles of Data Justice. Through innovative approaches, we aim to enhance participation in learning, research and policymaking, fostering a comprehensive…

The new realities of social media, echo chambers, and partisan information sources have created social forces that challenge core assumptions about democracy. Are we in an epistemological crisis, where separate and distinct communities of inquiry limit shared understandings of truth? In this essay, I turn to the political and educational thought…

The aim of this study is to examine which issues teachers' perspectives focus on in culturally responsive educational practices within the Turkish education system, identifying points of consensus and disagreement, and exploring the reasons behind the most extreme statements. Q methodology was used to collect and analyze the data. Twenty-one…

STEM pedagogy is a popular area for research and discussion. The empirical literature on this topic supports a variety of approaches (e.g., inquiry-based) to help instructors spark student interest create an effective learning environment, and foster long-term retention and transfer of information related to STEM topics. One potential approach is…

The launch of ChatGPT and the rapid proliferation of generative AI (GenAI) have brought transformative changes to education, particularly in the field of assessment. This has prompted a fundamental rethinking of traditional assessment practices, presenting both opportunities and challenges in evaluating student learning. While numerous studies…

This article shares results from the research project "Experiential Learning Assessment in Post-Secondary Education." The purpose of this research was to develop a further understanding of experiential learning assessment (EL) through an exploratory approach with university faculty and students. This article shares findings from the…

Teaching graduate students the entanglements of the interdisciplinary field of electrochemical DNA biosensors in microfluidics can be challenging, as it involves multiple fields of research strongly interacting with each other. Yet, electrochemical biosensors coupled with the improved hydrodynamics of microfluidics allow for simpler, more…

Accurate item parameters and standard errors (SEs) are crucial for many multidimensional item response theory (MIRT) applications. A recent study proposed the Gaussian Variational Expectation Maximization (GVEM) algorithm to improve computational efficiency and estimation accuracy (Cho et al., 2021). However, the SE estimation procedure has yet to…