Contemporary academic scholarship has devoted a tremendous amount of effort to documenting the prevalent standardized, formal schooling environment. Too little has been written about the persistence of small, independent progressive schools that have never stopped putting their students' individual needs and interests first. Peachtown Elementary…

This article introduces new perspectives, principles and recommendations for the successful development of teacher leadership. It draws from literature on teacher leadership, work redesign, and on-the-job leadership development to explore key insights and questions for teacher leadership development, and it presents a conceptual-theoretical model…

Teaching modeling in computer science is complicated. Many factors contribute, and are related in diverse ways. We regard some combinations as more successful than others, but we also value diversity, and we struggle to elucidate the relationships and our value structure. Similar remarks apply to the study of biological ecosystems. This…

This article provides a defence of my theoretical analysis of paradigm shift in contemporary religious education, particularly in light of Robert Jackson's (2015) article published in this journal: 'Misrepresenting religious education's past and present in looking forward: Gearon using Kuhn's concepts of paradigm, paradigm shift and…

People use commonsense science knowledge to flexibly explain, predict, and manipulate the world around them, yet we lack computational models of how this commonsense science knowledge is represented, acquired, utilized, and revised. This is an important challenge for cognitive science: Building higher order computational models in this area will…

How do newborns learn to recognize objects? According to temporal learning models in computational neuroscience, the brain constructs object representations by extracting smoothly changing features from the environment. To date, however, it is unknown whether newborns depend on smoothly changing features to build invariant object representations.…

Infant language learners are faced with the difficult inductive problem of determining how new words map to novel or known objects in their environment. Bayesian inference models have been successful at using the sparse information available in natural child-directed speech to build candidate lexicons and infer speakers' referential intentions. We…

Identifying the referent of novel words is a complex process that young children do with relative ease. When given multiple objects along with a novel word, children select the most novel item, sometimes retaining the word-referent link. Prior work is inconsistent, however, on the role of object novelty. Two experiments examine 18-month-old…

We develop two formal competitive models of the private higher education market focusing on quality and tuition where informational asymmetry is present: one consisting of for-profit universities only, and the other including also private non-profit universities. For both models, we characterize the competitive equilibrium to gain insights into…

Our understanding of the cognitive processes involved in reading has been advanced by computational models that simulate those processes (e.g., see Reichle, 2015). Unfortunately, most of these models have been developed to explain the reading of English and other alphabetic languages, with relatively fewer efforts to examine whether or not the…

This paper posits that almost all inspectorates are now following, if to varying degrees, a similar overarching ideology and methodology for school accountability and improvement. The first part of the paper provides an analysis of recent changes to school inspection policies across Frontiers. Using Ireland as a case example, the next part of the…

This article provides an overview of the R package lsasim, designed to facilitate the generation of data that mimics a large scale assessment context. The package features functions for simulating achievement data according to a number of common IRT models with known parameters. A clear advantage of lsasim over other simulation software is that…

Human reasoning about and with uncertainty is often at odds with the principles of classical probability. Order effects, conjunction biases, and sure-thing inclinations suggest that an entirely different set of probability axioms could be developed and indeed may be needed to describe such habits. Recent work in diverse fields, including cognitive…

Part of the international reflection on the use of history in mathematics teaching consists in a quest of frameworks and models suitable for empirical studies. Following this demand, this paper explores the way Balacheff's cK? model, a model taken from the didactics of mathematics, can be used in the analysis of learning at student level. In the…

This paper introduces a hierarchical model of children's (3- to 8-year olds) research participation rights that builds on work by Roger Hart and integrates key participation rights drawn from UNCRC Article 12: information, understanding, voice, and influence. It provides insight into the various levels of information that can be provided to…