Retrospective confidence refers to the phenomenological experience of the level of certainty that retrieved information is, in fact, correct. Retrospective confidence judgments are examined across a range of sub-disciplines in psychology from perception to memory research, and in education and legal applications. This paper focuses on…

Human thought can be characterised as being situated in the 'space of reasons'. That is to say that human thought is guided by the norms of theoretical and practical rationality which, in turn, enable autonomous thinking. But how do children learn to navigate the space of reasons? Building on the work of Tugendhat and Bakhurst, among others, we…

Researchers have hypothesized and, in some cases, shown that hypothetical learning trajectories (LT)s can be effective tools in teaching, but implementation, across individual teachers, varies. From the literature base, we have identified six ways researchers have hypothesized teachers might be able to use LTs in their work as teachers:…

Fredrich Froebel was a scientist, both in instinct and in training, and his life coincided with an important and dynamic period of scientific growth. I take this opportunity to delve both into some history and futurology to examine the heritage and legacy of his work. The usual of interpolation is of reading into data: where there exist some…

Purpose: In this article, we respond to Catts and Kamhi's (2017) argument that reading comprehension is not a single ability. Method: We provide a brief review of the impact of strategy instruction, the importance of knowledge in reading comprehension, and possible avenues for future research and practice. Results: We agree with Catts and Kamhi's…

Learning is often identified with the acquisition, encoding, or construction of new knowledge, while retrieval is often considered only a means of assessing knowledge, not a process that contributes to learning. Here, we make the case that retrieval is the key process for understanding and for promoting learning. We provide an overview of recent…

In this article, we attempt to provide an overview of the features of the abilities, aptitudes, and frames of minds that are attributed to critical thinking and provide the broad outlines of the development of critical-analytic thinking (CAT) abilities. In addition, we evaluate the potential viability of three main hypotheses regarding the reasons…

Those who work in second- and foreign-language testing often find Koretz's concern for validity inferences under high-stakes (VIHS) conditions both welcome and familiar. While the focus of the article is more narrowly on the potential for two instructional responses to test-based accountability, "reallocation" and "coaching,"…

The process of education, and in particular that involving very young children, often involves students' taking their teachers' word on a good many things. At the same time, good education at every level ought to inculcate, develop, and support students' ability to think for themselves. While these two features of education need not be regarded as…

Besides traditional supervised classification learning, people can learn categories by inferring the missing features of category members. It has been proposed that feature inference learning promotes learning a category's internal structure (e.g., its typical features and interfeature correlations) whereas classification promotes the learning of…

This article argues for increased theoretical specificity in the active learning process. Whereas constructivist learning emphasizes construction of meaning, the process articulated here complements meaning construction with disciplinary critique. This process is an implication of how disciplinary communities generate new knowledge claims, which…

A. Redish et al. (2007) proposed a reinforcement learning model of context-dependent learning and extinction in conditioning experiments, using the idea of "state classification" to categorize new observations into states. In the current article, the authors propose an interpretation of this idea in terms of normative statistical inference. They…

This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that considers an existing model of category representation, the Varying Abstraction Model (VAM), which attempts to infer the representations people use from their behavior in…

Dealing with alternative causes is necessary to avoid making inaccurate causal inferences from covariation data. However, information about alternative causes is frequently unavailable, rendering them unobserved. The current article reviews the way in which current learning models deal, or could deal, with unobserved causes. A new model of causal…

Revisions of common associative learning models incorporate a within-compound association mechanism in order to explain retrospective cue competition effects (e.g., [Dickinson, A., & Burke, J. (1996). Within-compound associations mediate the retrospective revaluation of causality judgements. "Quarterly Journal of Experimental Psychology, 49B", pp.…