We introduce DeepPerfEmb, or DPE, a new deep-learning model that captures dense representations of students' online behaviour and meta-data about students and educational content. The model uses these representations to predict student performance. We evaluate DPE on standard datasets from the literature, showing superior performance to the…

Among community college leaders and others interested in reforms to improve student success, there is growing interest in adopting machine learning (ML) techniques to predict credential completion. However, ML algorithms are often complex and are not readily accessible to practitioners for whom a simpler set of near-term measures may serve as…

What do state policies say about how to fund postsecondary education? This 50-State Comparison answers this question by searching state statutes, state rules and regulations, enacted state budget bills, and state postsecondary education agency policies that address postsecondary education budgeting and funding. This comparison examines whether the…

"Conceptual Frameworks for Giftedness and Talent Development" explores current and enduring theories and comprehensive models of giftedness and talent development. Each chapter: (1) Includes a description of the model, theory, or framework; (2) Shares the most important implications of each model, including underrepresentation and social…

In this paper, the application of fuzzy logic in mathematical education is viewed from the perspective of pre- school education. The aim of the paper is to give a brief overview of examples from the literature related to fuzzy logic and to point out the presence of fuzzy linguistic variables in the everyday life of a preschool child, as well as…

The Educator Preparation Program at a burgeoning university in the Southwest United States offered preservice teachers two models of field residency experience. The students who participated in the cohort model had the same university supervisor and cooperating teacher during all three semesters of field residency and took two education classes…

From its origins within the deprived schools of inner London in the late 1960s, nurture group practice has evolved organically. Based on instinctive, clinically observed and evidence-based principles, nurture groups continue to offer a viable educational response in providing for the fundamental attachment needs of vulnerable children in schools.…

Literature on problematic absenteeism in children and adolescents is diverse and dispersed across multiple disciplines, as it has long been a multifaceted and vexatious concern for psychologists, educators, and researchers (Kearney & Bates, 2005). Unfortunately, the investigation of problematic absenteeism from such diverse perspectives over…

At least sixteen US states have taken steps toward holding teacher preparation programs (TPPs) accountable for teacher value-added to student test scores. Yet it is unclear whether teacher quality differences between TPPs are large enough to make an accountability system worthwhile. Several statistical practices can make differences between TPPs…

Purpose: This paper provides a cross-national analysis of PhD supervision models, milestones and examination procedures in order to compare PhD programs and their practices. Design/methodology/approach: A comparative approach is employed, which systematically interrogates PhD supervision models, milestones and examination procedures in the United…

The abstract nature of quantum mechanics makes it difficult to visualize. This is one of the reasons it is taught in the language of mathematics. Without an opportunity to directly observe or interact with quantum phenomena, students struggle to develop conceptual understandings of its theories and formulas. In this paper we present the process of…

People use models every day without even realizing it. Models create a structure for predictions (inferences) that can be used or adapted as situations change. A model is a relational system that highlights aspects of a phenomenon that the modeler deems important and diminishes the rest. Statistical models capture variability of data, enabling…

By using high-leverage models to connect student learning experiences to overarching concepts in mathematics, teachers can anchor learning in ways that allow students to make sense of content on the basis of their own prior experiences. A rectangular area model can be used as a tool for understanding problems that involve multiplicative reasoning.…

In the context of constructing regional education and talent hub, Macao's higher education talent development strategy impacts the creation of a regional talent hub and the process of industrial diversification. This study adopts a text analysis approach. Through the analysis of 118 texts and the construction of the game model, it reveals that…

Language students apply different strategies to learn a second language (L2), especially when they want to attain proficiency in reading. The aim of the present study was to revisit the validity of the "Metacognitive Awareness of Reading Strategies Inventory" (MARSI-R) among Saudi students using a new statistical method of confirmatory…