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While research evidence has the potential to improve classroom practice, research-practice gaps continue to persist not least owing to the limited relevance of research findings for practice. A common approach in healthcare to address the research-practice gap is to form research priority setting partnerships (PSPs) in which stakeholders identify questions they would like research to answer. This paper presents the results from such a PSP in education with a focus on cognitive science research, which has received increased attention in the past few years owing to its potential to explain memory and learning processes and inform classroom practice. Over 400 questions from teachers were collected using an online survey. The final 15 research priorities highlight the need for research on a wider range of subjects, settings and phases as well as research designs that take the complexity of classrooms into consideration and aim to answer how different teaching strategies interact with each other as well as student motivation and agency at the micro- and macro-level. The role of teacher expertise vs. fidelity to original research designs should also be investigated further. Overall, this paper highlights the importance of taking teacher voice into account to ensure that new research in the field is both academically rigorous and practically relevant.

There are increasingly frequent calls for school mathematics curricula to be informed by robust research evidence. One approach to achieving this is designing evidence-informed learning and teaching resources for the classroom. In this paper, we reflect on our experiences of designing a free and fully resourced complete set of secondary mathematics curriculum materials. We explore in detail the challenges we have encountered in our attempts to apply principles from the cognitive theory of multimedia learning. We focus on tensions we have experienced when simultaneously applying multiple principles and balancing these with other educational considerations. Specifically, we consider trade-offs between redundancy versus clarity, seductive details versus richness, personalisation and emotional design versus abstraction, spatial contiguity and signalling versus parsimony, and pre-training and worked examples versus exploration. We examine the choices and dilemmas we faced, and illustrate our emerging attempts to resolve these tensions through presenting multiple examples from our design work. We conclude with recommendations about how tensions among these design principles might be navigated in curriculum design and we suggest possible avenues for further research in this area.

Cognitive science-informed approaches have gained considerable influence in education in the UK and internationally, but not much is known about how teachers perceive cognitive science-informed strategies or enact them within the contexts of their everyday classrooms. In this paper, we discuss the perceptions and experiences of cognitive science-informed strategies of 13 teachers in England. The paper critically explores how the teachers understood and used cognitive science-informed strategies in their teaching, their views of the benefits and challenges for different subjects and groups of learners, and their reflections on supporting factors and barriers for adopting the strategies in their schools. The teachers' accounts illustrate some of the many complexities of adopting cognitive science-informed approaches in real-life educational settings. Drawing on their narratives, the paper emphasises the importance of acknowledging different contextual dimensions and the dynamic interactions between them to understand when and how teachers enact cognitive science-informed approaches in their classrooms.

A central concern of the cognitive science of language since its origins has been the concept of the linguistic system. Recent approaches to the system concept in language point to the exceedingly complex relations that hold between many kinds of interdependent systems, but it can be difficult to know how to proceed when "everything is connected." This paper offers a framework for tackling that challenge by identifying *scale* as a conceptual mooring for the interdisciplinary study of language systems. The paper begins by defining the scale concept--simply, the possibility for a measure to be larger or smaller in different instances of a system, such as a phonemic inventory, a word's frequency value in a corpus, or a speaker population. We review sites of scale difference in and across linguistic subsystems, drawing on findings from linguistic typology, grammatical description, morphosyntactic theory, psycholinguistics, computational corpus work, and social network demography. We consider possible explanations for scaling differences and constraints in language. We then turn to the question of *dependencies between* sites of scale difference in language, reviewing four sample domains of scale dependency: in phonological systems, across levels of grammatical structure (Menzerath's Law), in corpora (Zipf's Law and related issues), and in speaker population size. Finally, we consider the implications of the review, including the utility of a scale framework for generating new questions and inspiring methodological innovations and interdisciplinary collaborations in cognitive-scientific research on language.

The approach that students take in their studies at university is critical not only for their academic success but is equally important in life-long learning for their career and professional development. Heutagogy is the study of self-determined learning and it is important that we appraise how students in higher education are developing their metacognitive awareness in how they learn and study effectively. Cognitive science is an interdisciplinary research area that involves the scientific study of the human mind. It helps provide new knowledge in relation to areas such as memory, problem solving, knowledge transfer and understanding of complex topics. Cognitive science has demonstrated that re-testing oneself on material when learning, enhances and promotes greater retention of knowledge compared to re-reading the material. Learning that is distributed or spaced out over multiple study sessions also allows for greater retention of knowledge in the longer-term compared to 'cramming' of information. To evaluate the use of effective study approaches and habits across three different levels of study in an undergraduate pharmacy programme, a survey study was employed. A paper-based survey was completed by first-, second- and third-year undergraduate pharmacy students (n=192) during class sessions. Although there was some evidence of metacognitive awareness such as using testing (retrieval practice) with practice problems; across all years, suboptimal study approaches such as rereading, copying notes and cramming were endorsed. A schedule of deadlines shaped the organisation of study and time management for most students. Self-testing was predominantly used to test learning rather than an approach used during learning. There was evidence of a difference between the cohorts in relation to decisions for prioritizing studying, returning to review course material and re-reading. The evidence from this study demonstrates that learners would require training on metacognitive awareness and effective study strategies to enable their self-determined learning capabilities to evolve. The linear progression through a programme of study alone will not achieve this. There is a need to embed and emphasize effective strategies for learning into curricula and for faculty to utilise metacognitive awareness in their teaching.

This paper discusses a three-level model that synthesizes and unifies existing learning theories to model the roles of artificial intelligence (AI) in promoting learning processes. The model, drawn from developmental psychology, computational biology, instructional design, cognitive science, complexity and sociocultural theory, includes a causal learning mechanism that explains how learning occurs and works across micro, meso and macro levels. The model also explains how information gained through learning is aggregated, or brought together, as well as dissipated, or released and used within and across the levels. Fourteen roles for AI in education are proposed, aligned with the model's features: four roles at the individual or micro level, four roles at the meso level of teams and knowledge communities and six roles at the macro level of cultural historical activity. Implications for research and practice, evaluation criteria and a discussion of limitations are included. Armed with the proposed model, AI developers can focus their work with learning designers, researchers and practitioners to leverage the proposed roles to improve individual learning, team performance and building knowledge communities.

In recent years, a multitude of datasets of human-human conversations has been released for the main purpose of training conversational agents based on data-hungry artificial neural networks. In this paper, we argue that datasets of this sort represent a useful and underexplored source to validate, complement, and enhance cognitive studies on human behavior and language use. We present a method that leverages the recent development of powerful computational models to obtain the fine-grained annotation required to apply metrics and techniques from Cognitive Science to large datasets. Previous work in Cognitive Science has investigated the question-asking strategies of human participants by employing different variants of the so-called 20-question-game setting and proposing several evaluation methods. In our work, we focus on GuessWhat, a task proposed within the Computer Vision and Natural Language Processing communities that is similar in structure to the 20-question-game setting. Crucially, the GuessWhat dataset contains tens of thousands of dialogues based on real-world images, making it a suitable setting to investigate the question-asking strategies of human players on a large scale and in a natural setting. Our results demonstrate the effectiveness of computational tools to automatically code how the hypothesis space changes throughout the dialogue in complex visual scenes. On the one hand, we confirm findings from previous work on smaller and more controlled settings. On the other hand, our analyses allow us to highlight the presence of "uninformative" questions (in terms of Expected Information Gain) at specific rounds of the dialogue. We hypothesize that these questions fulfill pragmatic constraints that are exploited by human players to solve visual tasks in complex scenes successfully. Our work illustrates a method that brings together efforts and findings from different disciplines to gain a better understanding of human question-asking strategies on large-scale datasets, while at the same time posing new questions about the development of conversational systems.

Purpose: I take as a starting point the disparaging comments about the place of history and philosophy of education in initial teacher education (ITE) made by the chair of the Teacher Education Expert Panel established by the Australian Government in 2023, which I take to be the most recent attempt at resurrecting the tired debate over "the art versus science of teaching". I draw on an example from my own ITE classroom to tease possibilities for how historical research and research in the sciences of learning can be in dialogue and collaborate to deepen educational scholarship. Design/Methodology/Approach: The purpose of this essay is to reflect on the scholarly discussions and debates in the sciences of learning that historical researchers of education have largely been absent or excluded from. I argue that historical researchers have an important role to play as "critical friends" to the burgeoning fields of cognitive science and educational neuroscience. Findings: From my cursory and singular account, I highlight two key areas of education where historical research and the sciences of learning can be fruitfully in dialogue and collaboration: Firstly, on the cultural dimension that prefigures learners' approach to learning; and secondly, on the factors that enable or disable effective learning. Originality/Value: This essay sets an agenda for historical researchers in education to exercise "critical friendship" with the cognitive and brain sciences of learning, specifically by adding temporal considerations to the way biology, psychology, and sociality interact to produce different educational outcomes. This will be of "practical" service to ITE -- and to students in schools.

This paper discusses adapting Churches' approach to large-scale teacher/researcher conceptual replications of major "science of learning" findings, to increase teachers' engagement with empirical research on, and building research networks for, gathering data on the science of learning. The project here demonstrated the feasibility of teacher-led randomised controlled trials for conceptually replicating the effects of cognitive science on learning, as specified by researchers. It also indicated high levels of interest by teachers in applying more science of learning in their practice. The approach gave freedom to teachers to design interventions, choose research methods, and measure outcomes, even though such freedom would be in tension with some scientific research which relies on constraining the sources of variation. This paper discusses how a balance can be struck between the objectives of teachers and researchers engaged in replicating cognitive science findings, and promoting teacher engagement in conceptual replication research.

Engaging students in authentic problem solving concerning environmental issues in near-surface complex Earth systems involves both developing student conceptualization of Earth as a system and applying that scientific knowledge using techniques that model those used by professionals. In this first paper of a two-part series, we review the state of the geoscience education research field related to systems thinking in the context of Earth systems. The purpose of this study is to build on previous syntheses by conducting a configurative literature review that addresses the following research questions: (1) What are the characteristics of studies that address systems thinking in the context of Earth systems? (2) What conceptual frameworks for systems are present in the geoscience education research literature on systems thinking in the context of Earth systems? (3) How are these conceptual frameworks operationalized in research and educational interventions aimed at understanding and supporting systems thinking in the context of Earth systems? Twenty-seven papers met inclusion and exclusion criteria. Content analysis was conducted on each of these papers, and systems ideas were analyzed using the constant comparative method. Four conceptual frameworks were identified: Earth systems perspective, Earth systems thinking skills, complexity sciences, and authentic complex Earth and environmental systems. This study is, to our knowledge, the first systematic review in this area and allows a more consistent comparison of new findings with previous work. It also facilitates strengthening connections with cognitive science and education research literature related to systems thinking and complex systems.

The critical question for cognitive scientists is what does cognitive science do, if anything, for people? Cognitive science is primarily concerned with human cognition but has fallen short in continuously and critically assessing the "who" in human cognition. This complacency in a world where white supremacist and patriarchal structures leave cognitive science in the unfortunate position of potentially "supporting" those structures. We take it that many cognitive scientists operate on the assumption that the study of human cognition is both interesting and important. We want to invoke that importance to note that cognitive scientists must continue to work to show how the field is useful to all of humanity and reflects a humanity that is not white by default. We wonder how much the field has done, and can do, to show that it is useful not only in the sense that we might make connections with researchers in other fields, win grants and write papers, even of the highest quality, but useful in some material way to the billions of non-cognitive scientists across the globe.

There's no doubt that research bearing directly on classroom practice is crucial. In this article Daniel Willingham maintains that it's useful for educators also to know the basic science around children's cognition, emotion, and motivation, because beliefs about what children are like inevitably influence teaching practice. The purpose of learning the science would be to broaden and deepen that knowledge, and to disabuse teachers of any misconceptions they might have. Still, not everything of concern to scientists is valuable to educators. The author makes the point that some statements concerning children's learning are perfectly sound scientifically but should not influence educational decisions. That includes some statements that seem like they ought to have a direct bearing on classrooms. In this article, Willingham describes three types of statements scientists make, only one of which he thinks ought to influence teaching practice, but he points out that even that type of statement, can be misapplied.

The purpose of this article is to offer insights into current understanding of digital learning environments (DLEs) from a neuroscientific perspective. Cognitive neuroscience methods are increasingly applied in educational research to examine the neural underpinnings of learning. As such, neuroscientific evidence can play an important role in advancing current knowledge base from the existing self-reported data and behavioural measures in the field of educational technology. In this paper, we focus our review of neuroscience research on DLEs that can potentially transform the way we view learning and instruction. We discuss recent empirical studies done on DLEs using common cognitive neuroscience methods which included eye tracking, electroencephalography (EEG), and functional magnetic resonance imaging (fMRI). We offer recommendations for future applications of neuroscience methods in behavioural research within DLEs.

The case study focuses on the interactional mechanisms through which online collaborative teams co-construct a shared understanding of an analytical geometry problem by using dynamic geometry representations. The collaborative study consisted of an assignment on which the learners worked together in groups to solve a ship navigation problem as described in the Virtual Math Teams (VMT) environment. In this paper, a single group's problem solving activities were qualitatively analyzed to understand how they achieved a sense of joint perception of their shared workspace as a navigational chart which encodes the physical relationships between landmarks in the form of angle and distance measures. The analysis of the excerpts indicated that the initial struggles and their resolution in interaction as participants mastered the use of dynamic features in their shared workspace helped them gradually develop a shared understanding of the key spatial relationships among landmarks encoded in the 2D chart.

[This paper is part of the Focused Collection on Curriculum Development: Theory into Design.] This paper discusses the theoretical framework and curriculum materials that form the basis of the Investigative Science Learning Environment (ISLE) approach to learning and teaching physics. ISLE, as a philosophical approach to learning, has two core intentionalities: (i) We want students to learn physics by thinking like physicists; by engaging in knowledge-generating activities that mimic the actual practices of physics and using the reasoning tools that physicists use when constructing and applying knowledge. (ii) The way in which students learn physics should enhance their well being. These intentionalities form the basis upon which we build a bricolage of multiple theoretical perspectives. We will show how the ISLE approach and its implementation is shaped by (a) the epistemological commitments of physics, (b) the findings of cognitive science, (c) theories of learning communities, and (d) the perspective of universal design. We will present both qualitative and quantitative data that demonstrate the effectiveness of ISLE in helping students to achieve our intentionalities. We conclude with a call to curriculum developers and implementers to explicitly articulate their intentionalities and theoretical perspectives so that we may forge deeper connections between educational theories, curriculum development, and implementation.

What is the most prototypical form of African literature? Shouldn't we be using African languages to produce African literary texts, shouldn't we produce more Afriphone African literature compared to Europhone African literature or Afro-Europhone literature? This issue underlies the reality that the vast majority of African writers presumably think in one language and express themselves (speak, enchant, or write) in another. This problematic, crystalized in major debates between Ngugi wa Thiongo and others, on the one hand, and Chinua Achebe and others, on the other hand, has resulted in great challenges as to how we can define or even conceptualize the discipline of African literature. Is it literature written by Africans in African languages for Africans or is it literature written by anybody including nonAfricans in non-African languages? Or is it somewhere in-between these two extremes? The paper discusses several positions on this major question in African literature before advancing a novel proposal based on insights and evidence from proto-type theory within Linguistics and the Cognitive Sciences. This proposal leads to a somewhat provocative conclusion about the gradation of African literatures, where "African language literatures" or Afrophone literatures, comprise the core, proto-typical category in a 21st Century African literature constellation, whereas foreign language and diasporic literatures such as "Afro-European literatures," "Afro-American literatures," and "Afro-Chinese literatures" are the hybrid and thus more recessive, peripheral types of African literature.

In this discussion paper, teaching and learning are characterized as being situated, complex, and reciprocally interactive activities. Accordingly, a teacher's pedagogical actions are always action and reaction at the same time. Irrespective of the reciprocally interactive nature of teaching and learning, educational research has sought to identify characteristics of teacher expertise that enable teachers to influence students' learning in a systematic and positive way. In this respect, the contributions to this special issue offer an innovative research paradigm, because they bring together different and originally separated strands of research: (1) research on professional vision in teacher education, (2) research on the structure and development of expertise in cognitive science, (3) research on cognitive processes by means of eye-tracking technologies in psychology, and (4) research on educational effectiveness and instructional quality in educational science. Following this introduction, a detailed discussion of the rewards and challenges of each of the seven contributions is provided. This discussion leads to the following conclusions: (a) The emphasis on the "reacting teacher" in professional vision research undervalues the role of lesson planning for the flexible handling of sudden events during class instruction. (b) The assumption of professional vision as "mediator" between a teacher's knowledge and pedagogical actions overlooks that teachers can sometimes do more than they can tell. (c) Not all of the gaze behavior that is currently studied needs to be instructed. (d) Research should move beyond explorative expert-novice comparisons to hypotheses-driven designs that investigate how teachers can learn to successfully apply evidence-based pedagogical principles.

Chew and Cerbin (2021) outline nine cognitive challenges to student learning with which economic educators are likely familiar, even if the language used to describe them differs. In this article, the authors refrain from summarizing Chew and Cerbin's framework and instead focus on providing context for how those conducting research and developing pedagogy in economics might incorporate these challenges into their work. In addition, they provide some thoughts on what these challenges mean for two important related issues: improving diversity and inclusion in the economics profession and the training of teachers in economics. [For "The cognitive challenges of effective teaching," see EJ1282120.]

Practice effects are ubiquitous human phenomena that have been scientifically studied for over half a century. They are also among the most directly applicable psychological phenomenon, holding broad implications for any domain involving human expertise, and especially for education. Yet the details of how practice works to improve performance are often poorly understood by the users of this phenomenon, such as teachers and coaches. In this paper I describe a simple classroom activity, The Seeker Game, which introduces students to the basics of practice effects, and to some of its complexities. After describing the game I suggest directions for discussion, focusing on "Microgenetic Analysis," a method that exposes the sources of performance change in detail. This analysis reveals the multifactorial nature of change, demonstrating that performance change often takes place not primarily in participants' heads, but spanning the cognitive, physical, and social domains.

Purpose: While many approaches in the field of unlearning aim at describing, understanding or explaining the "what" and/or "how" of unlearning, this paper aims to focus on the "where-to" and the goal of unlearning. In many cases, unlearning starts off with a specific result or goal in mind. This paper suggests that such an approach has to be challenged in the context of a highly complex and uncertain world and to introduce a mode of unlearning following a strategy of future-oriented open-endedness. Design/methodology/approach: This conceptual paper draws on (both theoretical/philosophical and empirical) interdisciplinary evidence from a wide variety of fields, such as organization studies, organizational (un)learning, systems theory, cognitive science and innovation studies. Findings: It turns out that open-endedness in unlearning processes plays a central role, especially if we are confronted with high levels of uncertainty and complexity. In such an environment, following a strategy of co-becoming with an unfolding environment and with an emergent goal seems to be more promising than aiming at a preconceived (un-)learning goal. Originality/value: The unlearning literature provides various approaches to what unlearning is and how it can be executed. However, understanding the actual goals and outcomes of unlearning and how these goals are identified and determined is a rather under-researched field. In many cases, they are preconceived in advance finding their realization in new forms of knowledge, assumptions, belief systems, values or routines. This paper challenges this strategy and addresses the gap of how it is possible to unlearn toward an uncertain future. This has an impact on the process of unlearning itself; it has to be reframed and understood as an open-ended strategy for identifying emerging future potentials, purposes and goals in a process of co-becoming with an unfolding future.

Purpose: The purpose of this paper is to examine existing learning innovation systems and propose a systematic methodology of delivering educational innovations in the right amount, in the right place and at the right time. Design/methodology/approach: Higher education is not effectively incorporating new discoveries in cognitive science and human learning into effective teaching strategies. In this paper, the authors explore the various impediments to change. To partially overcome these barriers, Drexel University, in collaboration with Untra Academic Management Solutions, LLC, has embarked on the development of a knowledge management system to assist instructors in obtaining, implementing, evaluating and disseminating new educational innovations. The system as envisioned would be capable of adapting to various educational environments and evolving with changes in curricula, faculty expectations, learning outcomes and student characteristics. Findings: The SocraticNet as a learning environment is stimulated, based on Socratic inquiry among teachers and learners. It is an interactive social network system utilising Web 2.0-based emerging technologies fostering communication and sharing among faculty, students and others (e.g. librarians) engaged in a particular course or other educational experience. Students learn by sharing what they know, by asking questions, judging and evaluating the retrieved information, and using this information efficiently in completing their assignments or research papers. This approach results in multidimensional information flow: instructor to instructor, instructor to student, student to instructor, student to student: which adds a new richness to the interactions between faculty and students providing the framework for a true learning community. Research limitations/implications: The present work has been conducted at one institution. This can be extended to include more institutions and tried with different disciplines. There are implications for changes in relation to teaching and learning approached adopted in higher education and also for development of technology tailored to address issues emanating from the scenario. Practical implications: The research work presented has the potential to stimulate debate to further develop and refine thinking on the role and use of technology directed at improving teaching and learning in higher education. Originality/value: This paper examines learning and teaching styles in higher education taking cognizance of conditions and factors impeding new innovations in practice. Details discussions are presented and unique suggestions are made.

[This paper is part of the Focused Collection on Curriculum Development: Theory into Design.] Research in physics education has contributed substantively to improvements in the learning and teaching of university physics by informing the development of research-based instructional materials for physics courses. Reports on the design of these materials have tended to focus on overall improvements in student performance, while the role of theory in informing the development, refinement, and assessment of the materials is often not clearly articulated. In this article, we illustrate how dual-process theories of reasoning and decision making have guided the ongoing development, testing, and analysis of an instructional intervention, implemented at three different institutions, designed to build consistency in student reasoning about the application of Newton's 2nd law to objects at rest. By employing constructs from cognitive science associated with dual-process theories of reasoning (such as mindware and cognitive reflection), we were able not only to examine the overall improvement in student performance but also to investigate the impact of the intervention on two aspects of productive reasoning--mindware and cognitive reflection. Our analysis showed that the intervention strengthened students' mindware such that students were able to apply it as a criterion while checking the validity of their intuitive responses. Moreover, logistic regression revealed that the success of our intervention was mediated by the students' cognitive reflection skills. Indeed, for students with comparable mindware, those who demonstrated a weaker tendency toward cognitive reflection were less likely to initiate conflict detection and therefore never had the opportunity to utilize their mindware. We believe that this kind of integrated, theory-driven approach to intervention design and testing represents an important first step in efforts to both account for and leverage domain-general reasoning phenomena in the learning and teaching of physics.

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 help characterize one of the hallmarks of human reasoning, and it will allow us to build more robust reasoning systems. This paper presents a novel "assembled coherence (AC) theory" of human conceptual change, whereby people revise beliefs and mental models by constructing and evaluating explanations using fragmentary, globally inconsistent knowledge. We implement AC theory with "Timber," a computational model of conceptual change that revises its beliefs and generates human-like explanations in commonsense science. "Timber" represents domain knowledge using predicate calculus and qualitative model fragments, and uses an abductive model formulation algorithm to construct competing explanations for phenomena. "Timber" then (a) scores competing explanations with respect to previously accepted beliefs, using a cost function based on simplicity and credibility, (b) identifies a low-cost, preferred explanation and accepts its constituent beliefs, and then (c) greedily alters previous explanation preferences to reduce global cost and thereby revise beliefs. Consistency is a soft constraint in "Timber"; it is biased to select explanations that share consistent beliefs, assumptions, and causal structure with its other, preferred explanations. In this paper, we use "Timber" to simulate the belief changes of students during clinical interviews about how the seasons change. We show that "Timber" produces and revises a sequence of explanations similar to those of the students, which supports the psychological plausibility of AC theory.

This paper comments on the theoretical formulations and usage of the construct of teacher noticing in a selection of the papers in this special issue of "ZDM Mathematics Education." The analysis of how the notion of teacher noticing is used in the papers suggests that it draws attention to several interdependencies involved that have not been attended to in the past. However, the contributions in this special issue have only partially accounted for the dynamic interactions in teacher noticing, suggesting that there is potential for enriching our understanding of the complexities involved in the realm of teacher noticing. The purpose of this commentary is to stimulate the current discussion on teacher noticing by providing insights from cognitive science and the applied science of human factors, which have the potential to challenge the current understanding of noticing. In doing so, the paper sets the stage for several related constructs from these research disciplines to raise awareness of aspects that recent conceptualizations of teacher noticing may have blinded rather than enlightened.

This paper reports the results of a study of adult ethical development in Christian congregations. Using an empirical hermeneutic phenomenological methodology, this study examined how five pastors understand and encourage ethical development, creating an in-depth analysis and interpretation of their perceptions of the phenomenon of adult ethical development. Two primary themes emerged, with several significant sub-themes contributing to those primary themes: 1) the integrity of ethical and spiritual development; and 2) the relational nature of ethical development. Drawing on a theoretical background of neo-pragmatic appropriations of both value theory and cognitive science, the relational nature of adult ethical development that emerges from this study makes contributions to the field of adult education in its understanding of the richness of the concrete spiritual context, the importance of informal learning environments, and the breadth of intersubjective experience that serves to incubate adult ethical development.

This paper is concerned with fair and valid testing. It reports on a long-term project aimed at creating visual accessibility resources in mathematics computer-administered test items in a large-scale assessment system. We discuss our experience designing and developing pop-up illustration glossaries (IGs) for second language learners (SLLs) -- students who are not native users of the predominant language in the society in which they live, are typically schooled in that predominant language, and face the challenge of learning content and demonstrating knowledge in a language that is not their first language. An IG is a visual representation of a word/term identified as likely to be linguistically challenging to a substantial proportion of SLL test takers and which appears on the screen when the test taker clicks on that word/term. Because they interact with the user, IGs are more sensitive than other accessibility resources to students' individual needs -- a characteristic that addresses the linguistic heterogeneity of SLL populations. We discuss the extent to which IGs contribute to ensuring valid, fair assessment for SLL students, and the implications of the lessons learned for improving assessment systems.

Research at the intersection of cognitive science and education has major benefits for both researchers and education practitioners. Yet, a number of logistical and communication challenges must be carefully negotiated to maximize the benefits of these collaborations. In this article, we trace the investments and major publications that have sought to bridge cognitive science and education over the past 40 years to provide context for the papers in a special issue of the "Journal of Cognition and Development" "Found in Translation: Cognitive Development Meets Education. We use the Institute of Education Sciences' investments in research at the intersection of cognitive science and education as a case study for what the field has primarily focused on over the past two decades and, finally, we offer a broad overview of the themes that this special issue touches on and a commentary on how we believe the field can improve.

For decades, there have been calls for bringing the Cognitive Science literature and Educational Research literature into greater and more systematic contact, resulting in the publication of a number of influential papers and the launch of targeted federal funding programs around the turn of the century. This article explores the extent of the integration of Cognitive Science into the Educational Research literature at around that time by means of a citation analysis of journal articles published between 1994 and 2014. Results reveal a marked increase in the citation of Cognitive Science articles by Educational Research articles beginning around the year 2000. They also show a similar increase in citation by Educational Research articles of articles appearing in "Border field" journals (i.e. Educational Psychology, the Learning Sciences, Human-Computer Interaction, and Applied Linguistics). Border Field articles, in turn, show a relatively high percentage of citation of articles in both Education Research and Cognitive Science, suggesting that they may serve as a pathway for the flow of knowledge between fields. These trends held for papers with US authors as well as those with non-US authors. Limitations of citation analysis are discussed along with suggestions for future research.

Foreign language (FL) aptitude generally refers to a specific talent for learning a foreign or second language (L2). After experiencing a long period of marginalized interest, FL aptitude research in recent years has witnessed renewed enthusiasm across the disciplines of educational psychology, second language acquisition (SLA) and cognitive neuroscience. This paper sets out to offer a historical and an updated account of this recent progress in FL aptitude theory development and research. As its subtitle indicates, the paper centres on three major issues: following the introduction and clarification of basic concepts, Section 1 traces the early conceptions of FL aptitude dominated by John Carroll's pioneering work. Section 2 summarizes and examines more recent theoretical perspectives and FL aptitude models proposed by researchers from multiple disciplines that have significantly broadened the conventional research traditions associated with Carroll's original conception. Based on the research synthesis of current FL aptitude models, Section 3 suggests the directions FL aptitude theory and research might take in coming years. We conclude that a working memory perspective on FL aptitude presents one promising avenue for advance, as does the development of new aptitude tests to predict speed of automatization, implicit learning and greater control over an emerging language system. In addition, it is argued that issues of domain-specificity versus domain-generality for aptitude tests may lead to aptitude theory and research becoming more central in applied linguistics.

Using iconic images created by students in Belfast and Sarajevo of their respective cities, this paper will explore how emerging ideas in the field of cognitive science (e.g. Gallagher, S. 2005. "How the Body Shapes the Mind." Oxford: Clarendon Press) can help explain the making and understanding of Augusto Boal's "Image Theatre". There has been growing interest in the intersection between performance and cognitive science (McConachie, B., and H. E. Hart, eds. 2006. "Performance and Cognition: Theatre Studies after the Cognitive Turn." Routledge), particularly in terms of kinaesthetic empathy (Reynolds, D., and M. Reason, eds. 2012. "Kinaesthetic Empathy in Creative and Cultural Practices." Intellect), which can enhance our understanding of the embodied practices associated with Augusto Boal's Image Theatre. This paper will analyse the ambiguities inherent in stage images of contested cities to explore how these may reveal unconscious insights into the image-makers' perception of their home environments. An image of Sarajevo, for instance, ostensibly about the Winter Olympics, prompts consideration of the city's internal divisions. An image of Belfast, ostensibly about the Titanic, suggests the limitations of the city's Peace Process. Taking Boal's idea that stage images should be "felt" rather than read, this article explores the fine line between feeling and meaning in the understanding of Image Theatre and suggests that alongside literacy and orality we now also need to include "imageracy", the ability to interpret and understand images, as a key competency for the modern world.

Cognitive science is an interdisciplinary field of researchers from psychology, neuroscience, linguistics, philosophy, computer science, and anthropology who seek to understand the mind. This paper considers findings from this field that are strong and clear enough to merit classroom application. Although many teachers and parents worry that high school students don't sleep enough, research shows that the impact of sleep deprivation on learning is not as dramatic as typically thought. Even so, research does show that teenagers can learn to get more shuteye, and that doing so can improve their mood and behavior. (Contains 51 endnotes.)

Little of 150 years of research in Cognitive Neurosciences, Human Factors, and the mathematics of Production Management have found their way into educational policy and certainly not into the classroom or in the production of educational materials in any meaningful or practical fashion. Whilst more mundane concepts of timing, sequencing, spatial organisation, and Gestalt principles of perception are well known and applied, the nature of Receiver Operating Characteristics (ROC) and the responsibility of the sender in that regard, as well as the maintenance of simplistic notions of developmental brain organization and hemisphericity for language rather than the neurophysiology of embodied language as an example, still inform pre-K-3 curriculum. The paper intends to overview the science of human physiologic efficiencies in engineering terms in an attempt to develop novel approaches and thinking to classroom-based practice and subsequently leadership and policy informed by current neuroscientific realities and by production management and optimization principles now applied to schools, and their consumers. (Contains 7 figures.)

Deans for Impact, a nonprofit organization composed of leaders of educator-preparation programs throughout the U.S., believes cognitive science is an important part of an evidence-based core of knowledge that preservice teachers should possess. Member deans believe that cognitive science holds promise for improving learning and promoting the professionalization of teaching. With that in mind, Deans for Impact published a six-page white paper entitled "The Science of Learning," which summarizes existing research on how students learn and connects this research to practical implications for teaching. The paper was developed in close collaboration with cognitive scientist Dan Willingham and Paul Bruno, a former middle school science teacher. "The Science of Learning" contains six key questions related to how students learn, with principles from cognitive science that help answer them, and lists some practical implications for teaching that follow from these scientific principles.