The rapid development of large language models (LLMs) has sparked growing interest in their potential to transform education. This study explores how LLMs influence collaborative learning, focusing on student creativity, critical thinking, problem-solving, and collective intelligence. Specifically, it investigates whether artificial intelligence…

Purpose: Predicting learner outcomes in blended learning (BL) is a new problem with many challenges, as learner data must be collected in both face-to-face and online environments. The purpose of this article is to identify the best method for building a model to predict student performance in BL and to determine the appropriate time for early…

Prior research has demonstrated that students' performance on physics test items can be accurately predicted using machine learning algorithms based on their gaze behavior. These gaze data are typically recorded during item completion and capture students' visual attention to both the verbal item stem and accompanying visual representations, such…

The Powers Practice is a tool developed to gain insight into the competencies of effective higher education leaders and as a tool to increase self-reflection practices. The Internal Family Systems model serves as the foundational theory and a "VUCA lens" describes the high stress conditions of higher education. The tool proved to be…

From an unsettled, ambivalent middle between discourses of generative AI integration and refusal, we offer a critical-ethical stance for AI-engaged writing assignments. We apply a critical thinking framework to these assignments, assert critical AI literacy as a kind of critical thinking, and discuss how critical thinking and critical AI literacy…

As editors for this special journal, Graves and Woods have compiled a discussion of the accuracy of the labels for Black children. It is exciting that they have brought together a team of scholars to tackle the very specific question posed by Hilliard (1991) and Guthrie (1976/2002) about the validity of IQ testing in regards to accurately and…

This article introduces the concept of adaptive intelligence--the intelligence one needs to adapt to current problems and anticipate future problems of real-world environments--and discusses its implications for education. Adaptive intelligence involves not only promoting one's own ability to survive and thrive, but also that of others in one's…

This quasi-experimental study examined the impact of reading aloud using theme-based material on the change from baseline to study endpoint in Crystallized Intelligence (Gc) of first grade students (Kaufman & Kaufman, 2004). A total of 39 students (19 male, 20 female) from two districts in a Midwestern state were recruited to participate. To…

'The human being', Kant contends, 'is the only creature that must be educated'. Thus, for Kant, the concept of education plays a central role in the answer to one of the fundamental questions of philosophy: What is the human being? Education is the means by which the rational powers definitive of our humanity are actualised and cultivated. It is…

In order to investigate the nature of complex problem solving (CPS) within the nomological network of cognitive abilities, few studies have simultantiously considered working memory and intelligence, and results are inconsistent. The Brunswik symmetry principle was recently discussed as a possible explanation for the inconsistent findings because…

In this article, we provide preliminary evidence for the 'hypersensitivity hypothesis', according to which Emotional Intelligence (EI) functions as a magnifier of emotional experience, enhancing the effect of emotion and emotion information on thinking and social perception. Measuring ability EI, and in particular Emotion Understanding, we…

This meta-analysis research aims to find the true correlation (true effect) between emotional intelligence and life satisfaction. In addition, it maps the dispersion of the correlation effect of the study after being corrected. This research consisted of 35 studies and involved 12,805 subjects. The estimator for this research used Hunter-Schmidt…

This study provides a solid validity inferential network to guide the development, interpretation, and use of machine learning-based next-generation science assessments (NGSAs). Given that machine learning (ML) has been broadly implemented in the automatic scoring of constructed responses, essays, simulations, educational games, and…

The current study addresses gaps in our understanding of the relationship between creative cognition, intelligence (IQ), and executive functioning (EF). Undergraduate students completed an IQ test, verbal and figural divergent thinking (DT) tests, and a self-assessment of EF, across four study sessions. Participant data (N = 199) were analyzed…

The aim of this study was to determine the perceptions of university students about the concept of artificial intelligence. The sample of the research carried out with the screening method consists of 130 fourth grade students studying in the Faculty of Education, Faculty of Arts and Sciences and Faculty of Economics and Administrative Sciences of…