This article explores the epistemological trade-offs that practical and technology design fields make by exploring past philosophical discussions of design, practitioner research, and pragmatism. It argues that as technologists apply Artificial Intelligence (AI) and machine learning (ML) to more domains, the technology brings this same set of…

Knowledge tracing (KT) for evaluating students' knowledge is an essential task in personalized education. More and more researchers have devoted themselves to solving KT tasks, e.g., deep knowledge tracing (DKT), which can capture more sophisticated representations of student knowledge. Nonetheless, these techniques ignore the reconstruction of…

Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…

For over half a century, Howard Gardner has studied the mind in its various shapes, forms, and operations, culminating in his best-known work, the theory of multiple intelligences. This volume compiles his most compelling essays on the conduct, contours, and complexity of the human mind. After introducing the thinkers who had the greatest…

There are a multitude of different theories on intelligence and achievement. While intelligence theory remains a highly contentious issue, there are commonalties among prominent research based and non-research based theories, particularly the adoption of belief over testable theory by researchers. The embracing of speculative theory exemplifies a…

In recent years, online education has been given more and more attention with the widespread use of the internet. The teaching procedure divides space and makes time for online learning; though teachers cannot control the learners accurately, the state of education calculates learners' learning situation. This paper explains that the discourse…

The proliferation of large language models represents a paradigm shift in the landscape of automated essay scoring (AES) systems, fundamentally elevating their accuracy and efficacy. This study presents an extensive examination of large language models, with a particular emphasis on the transformative influence of transformer-based models, such as…

Evolution causes biological and cultural diversity through adaptation to environmental conditions. This idea forms the cornerstone of recent research on the ecological origins of innovation and creativity, advanced prominently by Van de Vliert and Murray (2018) as the "ecotheory of creativity." Van de Vliert and Murray propose that heat…

Drawing on historical epistemology and considerations on the function of scientific modelling, this article investigates how in the mid-twentieth century electronic and programmable animal models became tools for exploring the inaccessible ontology of the human mind. The article examines how machines have informed our understanding of the learning…

In recent years, educational practitioners have become more aware of the importance of cultivating students' social and emotional skills, in order to facilitate adaptation beyond academic contexts. Emotional intelligence (EI), the ability to regulate one's own and others' emotions appropriately, has often been targeted in educational…

Looking at human communication from the perspective of semiotics extends our view beyond verbal language to consider other sign systems and meaning-making resources. Those include gestures, body language, images, and sounds. From this perspective, the communicative process expands from individual mental processes of verbalizing to include features…

This article seeks to explore different combinations of human and Artificial Intelligence (AI) decision-making in the context of distributed learning. Distributed learning institutions face specific challenges such as high levels of student attrition and ensuring quality, cost-effective student support at scale using a range of technologies, such…

This article pays attention to the regional embeddedness of early research on giftedness, looking principally at the works of Lewis Terman and his peers, between the 1910s and 1930s. The rhetoric, ideology, and aesthetics of giftedness in those early works were, I argue, stamped by the context and imaginary of Progressive-Era California and shaped…

The relationship between intelligence and creativity is often discussed and debated, and it has significant implications for education, student development, and the workplace. We use Sternberg's framework for understanding intelligence-creativity work to examine research on this important topic, with an emphasis on several recent studies that…

The literature provides multiple measures of diversity along a single demographic dimension, but when it comes to studying the interaction of multiple diversity types (e.g. age, gender, and race), the field of useable measures diminishes. We present the use of decision trees as a machine learning technique to automatically identify the…