Background/purpose: This study explores how animals associated with rivers and water are represented in Southern Vietnamese folk verses. It addresses the broader question of how language encodes cultural and ecological knowledge, focusing on cultural categorization as conceptualized in Cultural Linguistics. The research aims to uncover how the…

The multidimensional mixture data structure exists in many test (or inventory) conditions. Heterogeneity also relatively exists in populations. Still, some researchers are interested in deciding to which subpopulation a participant belongs according to the participant's factor pattern. Thus, in this study, we proposed three analysis procedures…

In the seminal work "But What Is Urban Education?" from 2012, Richard Milner proffered a typology to better represent urban spaces as conceptions of urbanization's evolution. The typology consists of three descriptors, to which each highlights the manner in which population density influences the availability of resources to support…

The "k"-means clustering method, while widely embraced in college student typology research, is often misunderstood and misapplied. Many researchers regard "k"-means as a near-universal solution for uncovering homogeneous student groups, believing its success hinges primarily on the selection of an appropriate "k."…

In order to make informed instructional decisions, teachers need psychological knowledge about relational categories. We conducted two 2 x 2 experiments to examine effective designs for learning relational categories in the context of teacher education. In both experiments, a blocked compared to an interleaved example format was more beneficial…

Background: There is no single classification system or diagnostic protocol for speech sound disorder (SSD). This makes it difficult to collect large-scale outcome data and determine which interventions work best for which subtypes of SSD. The United Kingdom is unique in that its publicly funded healthcare system allows the collection of such…

Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…

Self-regulated learning (SRL) theory comprises cognitive, metacognitive, and affective aspects that enable learners to autonomously manage their learning processes. This article presents a systematic literature review on the measurement of SRL in digital platforms, that compiles the 53 most relevant empirical studies published between 2015 and…

Student academic performance prediction is a significant area of study in the realm of education that has drawn the interest and investigation of numerous scholars. The current approaches for student academic performance prediction mainly rely on the educational information provided by educational system, ignoring the information on students'…

This writing originates from unease with assumptions that often shape intergenerational practices and everyday encounters in the UK, for instance, assumptions about generational 'gaps' or 'roles' and the pedagogy of 'interventions' to promote meetings 'between' ages. Such interventions are usually predicated on chrono-logical notions of infant,…

As artificial intelligence (AI) rapidly transforms educational practices, educators worldwide face an urgent need to develop pedagogic competencies that align with AI's evolving capabilities, yet existing frameworks lack systematic guidance for AI-specific skill development. This article introduces a pioneering framework designed to refine…

What follows is a manifesto to substantiate four theses. "First," science and science education are not what they purport to be and require recategorization as technoscience and technoscience education. "Second," technoscience and technoscience education are constituted in the pernicious whiteness of coloniality and need to be…

This study is devoted to the issue of closing the gap between the requirements of the market of remote investment entrepreneurship and the market of higher education due to the determination and use of the legal mechanisms of their regulation. To tackle the research problem, we use several concepts, theories, and approaches, including the concept…

This study investigated the sentiment of Twitter discourse on Open Educational Resources (OER). We collected 124,126 tweets containing hashtags related to OER posted from January 2017 to December 2021. We performed fine-grained sentiment analysis using Bidirectional Encoder Representations from Transformers (BERT) to categorize tweets into five…

This article proposes a critical typology of five emerging responses to artificial intelligence (AI) in language education, from prohibition and hype to critical engagement, highlighting the assumptions, tensions, and possibilities each orientation embodies. This typology serves as a reflective tool to examine how educators and institutions are…