In this article, the authors utilize the philosophical methodology developed by Michael Hardt and Antonio Negri to formulate a theory of educational realism. The goal is to posit an embodied form of education that emerges from within the movements of the multitude. The connection between multitudinous movement and education is the concept of…

Artificial neural networks (NN) can help researchers estimate propensity scores for quasi-experimental estimation of treatment effects because they can automatically detect complex interactions involving many covariates. However, NN is difficult to implement due to the complexity of choosing an algorithm for various treatment levels and monitoring…

Learning paths are curated sequences of resources organized in a way that a learner has all the prerequisite knowledge needed to achieve their learning goals. In this article, we systematically map the techniques and algorithms that are needed to create such learning paths automatically. We focus on open educational resources (OER), though a…

Educational institutions are creating a considerable amount of data regarding students, faculty and related organs. This data is an essential asset for academic institutions as it has valuable insights, knowledge and intelligence for the policymakers. Students are the fundamental entities and primary source of data creation in any educational…

Higher education institutions adopt conversational agents, or chatbots, to perform and automate certain business functions. While chatbots exist to support Enrollment Services, Financial Aid, and other departments within an institution, Institutional Research lacks options. Institutional Research supports higher education institutions by providing…

This brief article introduces the topic of intelligence as highly appropriate for educational measurement professionals. It describes some of the uses of intelligence tests both historically and currently. It argues why knowledge of intelligence theory and intelligence testing is important for educational measurement professionals. The articles…

Scores derived from intelligence instruments predict many important outcomes in life, so it is not surprising that researchers and clinicians seek out interventions aimed at increasing these scores. Dixon et al. (J Behav Educ, 2019. https://doi.org/10.1007/s10864-019-09344-7) recently investigated the relation between instruction based on…

This study examined adaptive functioning, strategies used to develop adaptive functioning skills, and areas where additional services could benefit autistic young adults without intellectual disability. Participants were 21 autistic young adults and at least one parent of each young adult. Quantitative analyses replicated previous reports of an…

Here, intelligence is taken to mean scores from psychometric tests of cognitive functions. This essay describes how cognitive tests offer assessments of brain functioning--an otherwise difficult-to-assess organ--that have proved enduringly useful in the field of health and medicine. The two "consequential world problems" (the phrase used…

This Meta-Analysis investigated the relationship between emotional intelligence (EI) and giftedness. The study focused on whether gifted learners possessed higher levels of EI when compared with their non-gifted peers. Furthermore, it sought to determine if gifted males and gifted females differed in their EI abilities. A search of published and…

This paper reports two studies examining correlates of self-estimated intelligence (SEI). In the first, 517 participants completed a measure of SEI as well as self-estimated emotional intelligence (SEEQ), physical attractiveness, health, and other ratings. Males rated their IQ higher (74.12 vs. 71.55) but EQ lower (68.22 vs. 71.81) than females…

What are consequential world problems? As "grand societal challenges", one might define them as problems that affect a large number of people, perhaps even the entire planet, including problems such as climate change, distributive justice, world peace, world nutrition, clean air and clean water, access to education, and many more. The…

Machine learning (ML) provides a powerful framework for the analysis of high-dimensional datasets by modelling complex relationships, often encountered in modern data with many variables, cases and potentially non-linear effects. The impact of ML methods on research and practical applications in the educational sciences is still limited, but…

Engaged and disengaged behaviors have been studied across a variety of educational contexts. However, tools to analyze engagement typically require custom-coding and calibration for a system. This limits engagement detection to systems where experts are available to study patterns and build detectors. This work studies a new approach to classify…

Semantic illusions are recognition errors that occur when an individual fails to notice that information contradicts their prior knowledge (Barton & Sanford, 1993; Erickson & Mattson, 1981). For example, after hearing the question, "If a plane crashes while flying over state lines, where should the survivors be buried?" many…