This design case presents my experiences, successes, and challenges, in the design and delivery of a six-week special topics course on culturally inclusive instructional design. The course was delivered synchronously with a diverse group of 15 individuals enrolled in the instructional design and technology degree program. The focus of the course…

In his book "World-Centred Education," Biesta discusses two themes fundamental for the emergence of subjectivity as a desirable existential humane state of being and for an education that aims to achieve it. The first theme is about freedom and the importance of distancing education and teaching from any act of objectifying students. The…

The Gini index is probably the most commonly used indicator to measure inequality. For continuous distributions, the Gini index can be computed using several equivalent formulations. However, this is not the case with discrete distributions, where controversy remains regarding the expression to be used to estimate the Gini index. We attempt to…

Missingness due to not-reached items and omitted items has received much attention in the recent psychometric literature. Such missingness, if not handled properly, would lead to biased parameter estimation, as well as inaccurate inference of examinees, and further erode the validity of the test. This paper reviews some commonly used IRT based…

In this essay, music education is conceptualized as a game or performance within The Game, the "pervasive atmosphere" (Fisher 2009) of neoliberal capitalism, which inevitably shapes scholarship, practice, and policy. Even people who strive to see music education for what it really might be (e.g., those researching and promoting social…

There have been dozens of papers published on the misrepresentation of psychological studies and theories (e.g., omitting criticisms) presented in introductory textbooks. Authors of these papers have offered numerous explanations for the errors including limited space for covering criticisms and the desire among textbook authors to…

Artificial Intelligence (AI) strives to create intelligent machines with human-like abilities. However, like humans, AI can be prone to implicit biases due to flaws in data or algorithms. These biases may cause discriminatory outcomes and decrease trust in AI. Bias in higher education admission may limit access to opportunities and further social…

Published studies of intervention effects probably report effect sizes that are larger than the true effect size. There are probably many reasons for this, but one can be thought of as a "winner's curse." In this essay, I discuss evidence from two recent studies that highlight how evidence clearinghouses might inadvertently expose…

This article proposes a pragmatic approach to data justice in education that draws upon Nancy Fraser's theory. The main argument is premised on the theoretical and practical superiority of a deontological framework for addressing algorithmic bias and harms, compared to ethical guidelines. The purpose of a deontological framework is to enable the…

Climate change denial is often rooted in an array of conspiracy theories with climate change itself viewed by some as the real conspiracy. While not all of us are climate change conspiracy theorists, it is upsetting for most of us to learn and accept that our climate is changing, that it is primarily human-caused, and that it is harming people,…

Multistate models are often used in social research to analyze how individuals move between states. A typical application is the estimation of the lifetime spent in a certain state, like the lifetime spent in employment, or the lifetime spent in good health. Unfortunately, the estimation of such quantities is prone to several biases. In this…

This article reports on the release of AI tools that can generate text, images, music, and video with no need for complicated coding but simply in response to instructions given in natural language. AI is also raising pressing ethical questions around bias, appropriate use, and plagiarism. In the realm of education, this technology will influence…

We introduce and evaluate three tests for publication selection bias based on excess statistical significance (ESS). The proposed tests incorporate heterogeneity explicitly in the formulas for expected and ESS. We calculate the expected proportion of statistically significant findings in the absence of selective reporting or publication bias based…

Influence from bias is unavoidable in clinical decision-making, and mental health assessment seems particularly vulnerable. Individuals with intellectual disabilities have increased risk of developing co-occurring mental disorder. Due to the inherent difficulties associated with intellectual disabilities, assessment of mental health in this…

This paper advocates for a shift from insular paternalism to developmental paternalism in education, contending that students' engagement with erroneous ideas is crucial for building the ability to resist harmful notions and support democracy. The proposed inoculative approach exposes students to problematic ideas, guiding them through the process…