Music provides an excellent setting for students to explore trigonometric functions in a setting which is independent of their utility in resolving triangles. In this paper, we present several investigations using trigonometric functions to model musical phenomena. From a mathematical technology point of view, most examples require only function…

Deep learning techniques are being unified for decision support in various applications. However, it remains challenging to train robust deep learning models, due to the inherent insufficient labeled data that is usually time-consuming and labor-intensive. Self-supervised learning is a feature representation learning paradigm to learn robust…

While overall graduation rates are improving, persistent disparities in graduation rates among groups of students remain, and must be addressed. High school reform is a viable approach to addressing these disparities. Early College High Schools, Small Schools of Choice, and Career Academies are all secondary school reform models that have been…

While the expectations and challenges facing K-12 educational leaders are considerable and significantly increasing, the support they receive in training, leadership development, and ongoing support has been limited in range and relevance. Although Cognitive Coaching is not a leadership development program, per se, Cognitive Coaching is a model of…

Purpose: Higher education (HE) institutions can play a fundamental role in achieving the Sustainable Development Goals. However, universities often face various obstacles to sustainability management, leading to a lack of strategies for implementing governance for sustainability (GFS). The purpose of this paper is to propose a model, based on work…

We demonstrate how developmental theories may be instantiated as statistical models, using hierarchical continuous-time dynamic systems. This approach offers a flexible specification and an often more direct link between theory and model parameters than common modeling frameworks. We address developmental theories of the relation between the…

Colleges are increasingly turning to predictive analytics to identify "at-risk" students in order to target additional supports. While recent research demonstrates that the types of prediction models in use are reasonably accurate at identifying students who will eventually succeed or not, there are several other considerations for the…

The purpose of this article is to share early results from an ongoing literature review intended to (a) explore the intersection of spiritual formation, aging, and lifelong learning, (b) situate this intersection within profound learning theory, and (c) develop a rich understanding and conceptual model which characterizes the qualities and…

The analysis of functional groups in organic compounds and inorganic ions in salts is a laboratory experiment that forms an inevitable part of the undergraduate chemistry curriculum in the science field all over the world. With this experiment, the student learns the testing techniques for the chemicals and gets a true sense of the importance of…

Recent developments have enabled the modeling of longitudinal assessment data in a diagnostic classification model (DCM) framework. These longitudinal DCMs were developed to provide measures of student growth on a discrete scale in the form of attribute mastery transitions, thereby supporting categorical and criterion-referenced interpretations of…

Frontiers pioneered an alternative model of publishing: Rather than libraries paying subscription fees to publishers to give library communities access to journals full of articles written, reviewed and edited (at no or modest cost to the publishers) by their own faculty, they instead charge the authors to publish articles that are then made…

A key goal in cognitive training research is understanding whether cognitive training enhances general cognitive capacity or provides only task-specific improvements. Here, we developed a quantitative model for describing the temporal dynamics of these two processes. We analyzed data from 1300 children enrolled in an 8 week working memory training…

Computational models of reading have tended to focus on the cognitive requirements of mapping among written, spoken, and meaning representations of individual words in adult readers. Consequently, the alignment of these computational models with behavioural studies of reading development has to date been limited. Models of reading have provided us…

Competencies have been a common tool for talent management operations for decades. In an attempt to standardize and streamline competency modelling and assessment in the varied and evolving workplace, this paper presents a measurement architecture consisting of a modular but comprehensive construct framework and a technology-enabled assessment…

Longitudinal research is often interested in identifying correlates of heterogeneity in change. This paper compares three approaches for doing so: the mixed-effects model (latent growth curve model), the growth mixture model, and structural equation model trees. Each method is described, with special focus given to how each structures…