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The didactic class is a pedagogical tool meant to increase classroom interactivity by encouraging student discussion of real-life cases in connection with theory. This paper evaluates the pedagogical impact of using a one-off didactic class where an external expert is brought in to discuss how to relate a cognitive psychology course's content to real-life problems. Using a mixed-methods approach, we measure the undergraduate students' sense of conceptual understanding, their perspective on applying cognitive sciences, their sense of belonging to the department, and their motivation to work. Students' sense of understanding and their perspective in applying cognitive sciences to real-world problems significantly increased after this class. However, we found no significant differences in their sense of belonging to the department or their motivation to study. This suggests didactic classes may further course-specific content but do not change broader aspects of motivation or belonging. The qualitative interviews support the quantitative results. Students reported that the didactic class made them think laterally about content from other modules and how they could apply theoretical insights to real-world problems, which boosted confidence. Students reported great satisfaction with the didactic class. Of course, the speaker must be relevant to the course content, and students should feel empowered and able to speak in class. However, these are practical concerns that should not discourage lecturers from exploring didactic classes as a fun and instructive tool that has significant pedagogical benefits.

In service of the goal of examining how cognitive science can facilitate human-computer interactions in complex systems, we explore how cognitive psychology research might help educators better utilize artificial intelligence and AI supported tools as facilitatory to learning, rather than see these emerging technologies as a threat. We also aim to provide historical perspective, both on how automation and technology has generated unnecessary apprehension over time, and how generative AI technologies such as ChatGPT are a product of the discipline of cognitive science. We introduce a model for how higher education instruction can adapt to the age of AI by fully capitalizing on the role that metacognition knowledge and skills play in determining learning effectiveness. Finally, we urge educators to consider how AI can be seen as a critical collaborator to be utilized in our efforts to educate around the critical workforce skills of effective communication and collaboration.

Unlike traditional methods, the communicative approaches draw on implicit and incidental ways of learning and contextualised exercises of grammar which improve language performance in terms of fluency and communicative competence. However, the discursive plan implies the use of high-level units of knowledge and the automatization of low-level knowledge is not ensured. Although learners' production achieves success in terms of communicative skills, their competence in terms of accuracy is usually unsatisfactory. The benefits of explicit grammar teaching are another issue that concerns teachers and that needs more evidence. Therefore, a need exists to study which approach supports the automatization of low-level information, in a short class time (30-40 min). The first purpose of this study is to better understand the cognitive processes that lead to the automatization of forms, the second purpose is to know whether explicit grammar teaching promotes the automatization of forms. When first reviewing the literature on cognitive psychology and automatization, the focus was limited to how automaticity is brought about. Next, the main assumptions of Adaptative Control of Though (ACT*) and Instance Theories are presented. The reviewed research results confirmed the effectiveness of the explicit teaching of rules and the importance of practice and attention in the language learning process. In the conclusion, there are some recommendations that may be useful for language teachers.

This article focuses on an approach to the concept of historical time in early childhood education through the lens of cognitive psychology. It consists of three parts: (1) theoretical approaches, inspired by three broad scientific fields -- cognitive psychology, pedagogy and history; (2) the presentation of educational examples, formed by empirical data and case studies; and (3) conclusions. Its main purpose is to combine theoretical approaches and findings from contemporary scientific research with empirical data from the educational process, so as to argue that kindergarten children can represent and be taught the concept of historical time and, with its help, can be introduced to history education.

The objectives of this research on Cognitive Technology for Academic Counselling in the New Normal were (1) to design an architecture of cognitive technology for academic counselling in the new normal, (2) to develop a system of cognitive technology for academic counselling in the new normal, (3) to assess the academic performance of students using cognitive technology for academic counselling in the new normal, and (4) to assess the satisfaction of students using cognitive technology for academic counselling in the new normal. The sample group in this study were 30 students at a secondary school level 1 from Ongkharak Demonstration School, Srinakharinwirot University, in the 2021 academic year. The students were enrolled on a course in Design and Technology and selected by multistage randomization, i.e. 1) group randomization and, 2) simple random sampling. The research tools were, (1) a system of cognitive technology for academic counselling in the new normal, (2) a performance assessment form, (3) a test and worksheets on design and technology, and (4) a satisfaction assessment form. The research results found: (1) learning outcomes after using the system were significantly better than before at the .01 level, and (2) the overall satisfaction of students using cognitive technology for academic counselling in the new normal was at the highest level (Mean = 4.50, S.D. = 0.64).

Since the 1920s, colleges have offered how-to-study courses orientating students to the rituals of academic study. We present an historical overview of these courses by highlighting major developments including the emergence of courses that evolved from skill-based curriculum underpinned by behaviorism to strategy-based curriculum underpinned by cognitive psychology and self-regulation theories. We also focus on two unique common iterations of course categories offered today: first-year seminars, which were re-envisioned by the University of South Carolina in the 1970s, and theory-based learning strategy courses, often referred to as learning frameworks courses, which emerged in the 1970s at two Texas universities.

The present study examined the effect of different types of retrieval practice on reading comprehension across levels of thinking and retention interval in a classroom setting. One hundred undergraduates divided into two retention interval groups (short- and long-retention interval) were asked to read a passage on a topic in Cognitive Psychology and were then required to engage in a retrieval practice learning strategy using the two types of question format (production test and recognition test) and different levels of thinking (lower-order thinking and higher-order thinking). A three-way mixed ANOVA statistical test was used to analyse the data and found no significant differences in reading comprehension across the different types of retrieval practice, suggesting that the performance when using the recognition test is equivalent to when using the production test. The difference in reading comprehension between the different types of retention interval also was not observed, indicating that students in the short-retention interval group retained just as much information as those in the long-retention interval group. Additionally, the present study observed a significant difference in students' reading comprehension between different levels of thinking, signifying that the students' performance for the lower-level thinking questions was better than that for the higher-level thinking questions. The present finding contributed to the existing body of knowledge in which it suggested that the performance in reading comprehension when using a recognition test, particularly a well-constructed one, with competitive alternatives was equivalent to when using a production test.

The article deals with the analysis of literary narrative where a possible unreal fictional world and a possible real fictional world usually coexist. When the norms of life plausibility are consciously violated, the real and the unreal possible worlds are emphatically opposed. Hence, their certain aspects are depicted in a fantastically exaggerated form. The interaction of possible worlds in a literary narrative destroys the stereotypes of the reader's perception. It can occur in different planes: structural (a shift of plot elements of the story, transformation, unusual, sharp turns of the borrowed plot, violations of a plotline); fictional (a combination of real and fantastic features in one image); temporal (violations of the chronological flow of time, a shift of time flow); spatial (expansion or contraction of space, magical spatial formations, displacements, deformations). By their nature, the interaction of different possible worlds can be continuous, partial, and fragmentary; resulting from their boundaries may overlap or be violated (entirely or partially). The continuous interaction of different possible worlds, destruction of their borders, although they do not disappear completely, make them largely blurred, interpenetrating each other. In the case of partial interaction of possible worlds, their boundaries intersect. In the case of fragmentary interaction of possible worlds, their common points are slightly visible, for example, only the borrowed title of a literary work or a character's name, or a fantastic concrete event or a place of the event.

Contribution: This article presents evidence that electrical engineering, computer science, and data science students, participating in introduction to machine learning (ML) courses, fail to interpret the performance of ML algorithms correctly, since they fail to consider the application domain. This phenomenon is referred to as the domain neglect bias and is discussed in this article from the cognitive psychology perspective. Background: ML algorithms are common components in electrical engineering, computer science, and data science curricula. Learning ML is challenging not only due to its complex mathematical and algorithmic aspects, but also due to: (1) the complexity of using these algorithms in the context of real-life situations correctly and (2) the comprehension of related social and ethical issues. Research Question: To what extent do students fail to correctly interpret the performance of ML algorithms due to the domain neglect bias and how can this bias be explained? Methodology: A questionnaire containing two questions was designed, in which the participants were asked to compare the performance of ML algorithms in the contexts of different application domains. The questions were designed to trigger the domain neglect bias which in turn, allowed quantification of its prevalence. Findings: One third of the students failed to recognize the outperforming ML algorithm due to the domain neglect bias. Educators should note this bias and develop new pedagogical methods for teaching ML performance in order to mitigate the bias.

Although the study of artificial intelligence (AI) used in language teaching and learning is increasingly prevailing, research on language two (L2) learner cognitive psychological factors about AI writing corrective feedback (WCF) is scarce. This paper explores L2 learner cognitive psychology of pigai, an AI evaluating system for English writings in China, from perspectives of perception, noticing, uptake, initiative, retention and emotion. It investigates the consistency between learner cognitive psychology about AI WCF and the expected one and probes into the correlation of learner cognitive psychological factors about AI WCF, aiming at bridging the gap between the research of AI WCF and that of L2 learner cognitive psychology. After a 5-point Likert anonymous questionnaire survey of 1952 undergraduate L2 learners in Anhui University of Finance and Economics (AUFE), the statistical data of Pearson correlation coefficient indicate that learner perception, noticing, uptake, initiative, retention and emotion are positively related in the context of AI WCF, which conforms to the early research of learner cognitive psychology about WCF. But one sample t-test reveals that learner cognitive psychology of AI WCF only occasionally or sometimes consists with the expected one. The subsequent random interviews with 15 respondents suggest that pigai WCF is beneficial to L2 writing, yet there is still much room for it to improve to be deeply integrated with human WCF.

The significance of illusion as a positive force in everyday life has been underestimated in both societal discourse and in empirical science. The objective of this study is to provide a synthesis of many academic disciplines' understanding of illusion and reality by proposing a taxonomy of functional and dysfunctional subjective realities as based on the assumption that the human mind is adaptive in an evolutionary sense and likely to be a quantum entanglement system. Assumptions and discussions needed to construct the taxonomy are generally based on empirical research drawing from evolutionary theory, neurology, biology, anthropology, psychology, psychiatry, physics and other disciplines. The purpose of the proposed taxonomy is heuristic, serving as a base for further studies drawing particular attention to the fact that, by evolutionary processes, Homo sapiens have been made dependent on multiple subjective realities where illusion and reality are not necessarily opposites. The article is concluded by discussing possible reasons for why illusions as a positive force in human behaviour has been neglected in comparison to the dysfunctions of the human mind of which research abound.

Process overlap theory (POT) is a new theoretical framework designed to account for the general factor of intelligence ("g"). According to POT, g does not reflect a general cognitive ability. Instead, "g" is the result of multiple domain-general executive attention processes and multiple domain-specific processes that are sampled in an overlapping manner across a battery of intelligence tests. POT explains several benchmark findings on human intelligence. However, the precise nature of the executive attention processes underlying g remains unclear. In the current paper, we discuss challenges associated with building a theory of individual differences in attention and intelligence. We argue that the conflation of psychological theories and statistical models, as well as problematic inferences based on latent variables, impedes research progress and prevents theory building. Two studies designed to illustrate the unique features of POT relative to previous approaches are presented. In Study 1, a simulation is presented to illustrate precisely how POT accounts for the relationship between executive attention processes and "g." In Study 2, three datasets from previous studies are reanalyzed (N = 243, N = 234, N = 945) and reveal a discrepancy between the POT simulated model and the unity/diversity model of executive function. We suggest that this discrepancy is largely due to methodological problems in previous studies but also reflects different goals of research on individual differences in attention. The unity/diversity model is designed to facilitate research on executive function and dysfunction associated with cognitive and neural development and disease. POT is uniquely suited to guide and facilitate research on individual differences in cognitive ability and the investigation of executive attention processes underlying "g."

Modern educational technology has the potential to support students to use their study time more effectively. Learning analytics can indicate relevant individual differences between learners, which adaptive learning systems can use to tailor the learning experience to individual learners. For fact learning, cognitive models of human memory are well suited to tracing learners' acquisition and forgetting of knowledge over time. Such models have shown great promise in controlled laboratory studies. To work in realistic educational settings, however, they need to be easy to deploy and their adaptive components should be based on individual differences relevant to the educational context and outcomes. Here, we focus on predicting university students' exam performance using a model-based adaptive fact-learning system. The data presented here indicate that the system provides tangible benefits to students in naturalistic settings. The model's estimate of a learner's rate of forgetting predicts overall grades and performance on individual exam questions. This encouraging case study highlights the value of model-based adaptive fact-learning systems in classrooms.

A fundamental goal of education is to inspire and instill deep, meaningful, and long-lasting conceptual change within the knowledge landscapes of students. This commentary posits that the tools of network science could be useful in helping educators achieve this goal in two ways. First, methods from cognitive psychology and network science could be helpful in quantifying and analyzing the structure of students' knowledge of a given discipline as a knowledge network of interconnected concepts. Second, network science methods could be relevant for investigating the developmental trajectories of knowledge structures by quantifying structural change in knowledge networks, and potentially inform instructional design in order to optimize the acquisition of meaningful knowledge as the student progresses from being a novice to an expert in the subject. This commentary provides a brief introduction to common network science measures and suggests how they might be relevant for shedding light on the cognitive processes that underlie learning and retrieval, and discusses ways in which generative network growth models could inform pedagogical strategies to enable meaningful long-term conceptual change and knowledge development among students.

This study investigates language teachers' verbal construals of classroom anxiety and its cognitive precursors by drawing on the TRANSITIVITY and ATTITUDE systems in systemic functional linguistics (Martin & White, 2005) and integrating them with appraisal theory in cognitive psychology (Smith & Lazarus, 1993). Three collegiate-level German teachers in a CLIL-like context participated in a two-week classroom observation sequence, which included 8 in-depth, semi-structured interviews that employed stimulated recall methodology by way of recorded classroom observations. Transcribed interview data were examined using both TRANSITIVITY analysis to capture experiential meanings and a multi-step TRANSITIVITY and ATTITUDE analysis to capture both emotional meanings and cognitive appraisals simultaneously. Findings revealed individual patterns of verbal construals of anxiety for each participant. The multi-step analysis uncovered discernible patterns for the verbal construal of cognitive appraisals that are strongly associated with both participants' feelings of anxiety and their beliefs about the nature of language teaching. Based on these findings, a new system network for the description and approach to the analysis of foreign language (FL) teacher emotions is proposed and implications of the findings for future research into teacher emotions and beliefs, as well as for teacher training, emotional well-being, and foreign language pedagogy research are discussed.

Previous studies have found that students' concept-building approaches, identified a priori with a cognitive psychology laboratory task, are associated with student exam performances in chemistry classes. Abstraction learners (those who extract the principles underlying related examples) performed better than exemplar learners (those who focus on memorizing the training exemplars and responses) on transfer exam questions but not retention questions, after accounting for general ability. We extended these findings to introductory biology courses in which active-learning techniques were used to try to foster deep conceptual learning. Exams were constructed to contain both transfer and retention questions. Abstraction learners demonstrated better performance than exemplar learners on the transfer questions but not on the retention questions. These results were not moderated by indices of crystallized or fluid intelligence. Our central interpretation is that students identified as abstraction learners appear to construct a deep understanding of the concepts (presumably based on abstract underpinnings), thereby enabling them to apply and generalize the concepts to scenarios and instantiations not seen during instruction (transfer questions). By contrast, other students appear to base their representations on memorized instructed examples, leading to good performance on retention questions but not transfer questions.

We extended a series of interventions developed in modern cognitive psychology to a group of students who had been academically dismissed and were at high risk to not complete college. Students learned how to respond adaptively to academic failure, how to embrace challenge, how to set realistic goals, and how to persist until their goals are achieved. The interventions were delivered within a sophomore seminar course. Within the class, students learned about, considered and practiced aspects of growth mindset, goal orientation, grit, stereotype threat, and belongingness. Before beginning the class, the 68 students had a mean cumulative GPA of 1.45, a course completion rate of 60%, and it was expected that over half would drop out of college within the next year. Following the intervention, students earned a mean semester GPA of 2.39, a course completion rate of 73%, 72% were retained for the next semester, and 58% were still enrolled one year later. These findings provide support for the benefits of these techniques used together to afford student success in a population of students that have previously struggled academically.

Although prominent theories in college student development cover a breadth of developmental aspects and draw from various fields of study, the literature lacks a developmental theory that explains the neurological processes that occur during student development. This literature review uses Neuro-semantic Language Learning Theory (Arwood, 1983; 2011) as a foundation to explore the triangulation of neuroscience, cognitive psychology, and language learning literature to speak to the gap in student development literature. Literature for each of the three subjects (neuroscience, cognitive psychology, and language learning) is presented, analyzed, and compared to current literature on student development theory. The purpose of this literature review is to supplement existing student development theory and provide a more holistic understanding of student development. Implications and suggestions for application of literature to student affairs work are offered.

This article is a narrative account of my search for knowledge about the nature of consciousness, and the implications of my findings for research and education. For over three decades, I accepted the dominant script presented to me through my education, both formal and informal, which assumes that the brain creates consciousness. Further, when the brain dies, consciousness dies with it. However, the unexpected death of my partner pushed me to investigate these assumptions. Through reading consciousness studies research, I learned of considerable empirical evidence that challenges the materialist paradigm taken for granted in the educational and social cultures in which I was raised. An analysis of the literature, combined with the learning gained from my own experiences, transformed my understanding of reality. This led me to radically question the ontological and epistemological assumptions of mainstream educational and social research. I end with a call for the development of an integral framework for consciousness education that would liberate researchers and educators from the materialist paradigm that is so deeply embedded in Western culture and contribute to an emerging postmaterialist worldview.

Data science is a new field of research that has attracted growing interest in recent years as it focuses on turning raw data into understanding, insight, knowledge, and value. New data science education programs, which are being launched at an increasing rate, are designed for multiple education levels and populations. Machine learning (ML) is an essential element of data science that requires an extensive background in mathematics. Whereas it is possible to teach the principles of ML only as a black box, novice learners might find it difficult to improve an algorithm's performance without a white box understanding of the underlying ML algorithms. In this paper, we suggest a pedagogical method, based on hands-on pen-and-paper tasks, to support white box understanding of ML algorithms for learners who lack the level of mathematics knowledge required for this purpose. Data were collected using a comprehension questionnaire and analyzed according to the process-object theory borrowed from mathematics education research. We present evidence of the effectiveness of this method based on data collected in an introduction-level data science course for graduate psychology students. This population had extensive psychology domain knowledge, as well as an established background in statistics, but had gaps in mathematical and computer science knowledge compared with data science majors. The research contribution is both practical and theoretical. Practically, we present a learning module that supports non-major data science students' white box understanding of ML. Theoretically, we propose a data analysis method to evaluate students' conceptions of ML algorithms.

Purpose: The application of leadership theory to training and development in international leadership contexts is burdened by the idealistic, western-centric, prescriptive nature of many leadership theories. Consequently, theories are needed that are culturally neutral, descriptive and practically applicable to the culturally diverse contexts in which leadership interaction takes place. To this end, the cognitive process model of (Denis "et al.," 2012) leadership was developed to facilitate leadership development study in a variety of cultural contexts. The model is based on how the human brain functions at its most basic level in leadership situations across cultures and outlines basic principles of leadership associated with these functions. These principles include awareness, decision-making, attention, relationship building, communication and action. This study aims to discuss this model and how it can be used as a framework for doing leadership training and development study in international settings. Design/methodology/approach: This paper is conceptual in nature and uses psychological studies on brain function as a foundation for developing a process model of leadership. Findings: In contrast the cognitive process model of leadership provides a foundation for understanding what is truly universal when it comes to leadership activities by examining what happens in the brain in any given leadership moment. It then provides a framework for promoting the development of leadership competencies that are essential to practicing the principles and competencies and applying them as one takes action in specific leadership moments at the self, interpersonal, group and team, organizational and social and political community levels. Research limitations/implications: The paper has implications for the content, structure and process of leadership development study in relation to training and coaching. Practical implications: This model makes it possible to identify how to provide training and education in relation to leadership competencies by identifying which aspects of the competencies are universal and which are situational or culture dependent. Originality/value: This study is an original paper exploring the application of this model in the context of global leadership training and development.

The Concerns Based Adoption Model (CBAM) is the instrument used in this case study to evaluate the efficacy of the Understanding by Design (UbD) instructional framework implementation plan. Specifically, to evaluate the implementation process through teacher perceptions of local instructional reform. Data was used to determine what further local interventions are necessary to sustain usage of the pedagogical practice. The goal of transferring understanding from one key idea, in one discipline, to a wider scope with the intent of deepening student understanding. This evaluation will determine its positive impact on learning. Sustained through research in cognitive psychology and advocated by constructivist educational theorists, the UbD instructional framework was created as a vehicle for this pedagogical practice. The success of the UbD framework implementation plan can only be achieved if teachers fully understand its impact on learning and support the initiative in their classroom. Then they must be willing to re-evaluate and transform their pedagogical practice where necessary. The CBAM study encourages the recognition that change is a process, not an event. The existence of an "implementation bridge," first mentioned by Hall and Hord (2006), would serve as a path to guide each individual from their first introduction of the new program, UbD, to the attainment of anticipated student outcomes in all classrooms. Individuals need to allow themselves to be guided across the bridge by administration, which is tasked with providing what each individual staff member needs to successfully cross the bridge.

The paper presents the conceptual basis of the theories: Behaviorism, Gestalt, Cognitive Psychology, and the Historic-Cultural Psychology. The essential categories of these theories were validated in a population of 2704 courses at the Massachusetts Institute of Technology, MIT (USA). The research seeks the relationship of theories with course design and student learning process supported by ICTs. The results for a sample of 629 open courseware analyzed gives the conclusion that the concepts of the theory of Piaget are the most influential in the process of eLearning of students in a 49.92%.

Understanding human judgement and decision making during visual inspection of data is of both practical and theoretical interest. While visualizing data is a commonly employed mechanism to support complex cognitive processes such as inference, judgement, and decision making, the process of supporting and scaffolding cognition through effective design is less well understood. Applying insights from cognitive psychology and visualization science, this paper critically discusses the role of human factors -- visual attention, perception, judgement, and decision making -- toward informing methodological choices when visualizing data. The value of visualizing data is discussed in two key domains: (1) visualizing data as a means of communication; and (2) visualizing data as research methodology. The first applies cognitive science principles and research evidence to inform data visualization design for communication. The second applies data- and cognitive-science to deepen our understanding of data, of its uncertainty, and of analysis when making inferences. The evidence for human capacity limitations -- attention and cognition -- are discussed in the context of data visualizations to support inference-making in both domains, and are followed by recommendations. Finally, how learning analytics can further research on understanding the role data visualizations can play in supporting complex cognition is proposed.

The purpose of this study was to examine the role of contexts in the memory of meaning in foreign vocabularies. The study was based on the cognitive processing hierarchy theory of Craik and Lockhart (1972), the memory trace theory of McClelland and Rumelhart (1986) and the memory trace theory of cognitive psychology. The subjects were non-English majors freshmen. The contexts used in the study were list, sentence and text. Through timely test and delay test, it was found that sentence performed better than text, which was different from expectation. After analysis and interview, some problems were found in this study.

Recently, an interest in creativity education has increased globally. Cognitive neuroscience research of creativity has provided possible implications for education, yet few literary reviews that bridge the brain and education studies have been published. This article first introduces the definitions and behavioral measures of creativity from cognitive neuroscientists' perspectives and provides a brief overview on the brain regions and neural studies on creativity-related cognitive processes. Second, the article examines neuroscience studies on the relationship between creativity and intelligence and discusses the nature side of creativity. Third, a comprehensive review of cognitive neuroscience studies on activities that may trigger new creativity thinking is provided, followed by a discussion on the nurture side of creativity--more specifically--how these findings inform creativity education. Supportive evidence from research in cognitive psychology and education are also presented. Then the article discusses the policy implications of the findings from the literature review as they pertain to creativity skills development in formal education and training.

Relevance Theory from the perspective of cognitive psychology argues that human communication is an ostensive-inferential process, and emphasizes the function of the optimal relevance for communication. In this sense, reading comprehension could be considered as a kind of communication in which the writer manifests his/her communication intention and the reader infers from the discourse codes; thereinto, the optimal relevance between the textual information and the reader's cognition is essential to the optimal contextual effects. This paper sets out to discuss the explanatory power of relevance theory to reading comprehension, with focus on differences among readers with different reading abilities in grasping the optimal relevance with the discourse and the cognitive context. Through the reading teaching experiment undertaken for a semester, the result shows that the application of relevance theory to reading by pinpointing reading purpose, setting reading tasks and constructing cognitive contexts benefits greatly to students' inference capability, hence their reading ability, which is also instructive for the teaching mode of reading courses.

Statistical mediation allows researchers to investigate potential causal effects of experimental manipulations through intervening variables. It is a powerful tool for assessing the presence and strength of postulated causal mechanisms. Although mediation is used in certain areas of psychology, it is rarely applied in cognitive psychology and neuroscience. One reason for the scarcity of applications is that these areas of psychology commonly employ within-subjects designs, and mediation models for within-subjects data are considerably more complicated than for between-subjects data. Here, we draw attention to the importance and ubiquity of mediational hypotheses in within-subjects designs, and we present a general and flexible software package for conducting Bayesian within-subjects mediation analyses in the R programming environment. We use experimental data from cognitive psychology to illustrate the benefits of within-subject mediation for theory testing and comparison.

The article details how school counselors can use principles of positive psychology to promote students' career development by facilitating students' pursuit of purpose and meaning. Specifically, the publication identifies how school counselors can actively employ with their students five constructs of positive psychology--namely strengths, positive emotions and flow, gratitude, perceiving and living a calling, and work/school hope--identified by Dik et al., (2014) as having empirical support for promoting career development. The authors of the manuscript provide approaches and techniques drawing on counseling theories including: cognitive therapy, solution-focused therapy, existential therapy, and positive psychotherapy, and offer actionable strategies for school counselors.

This paper presents a study of networking of theories between the theory of registers of semiotic representation (TRSR) and the onto-semiotic approach of mathematical cognition and instruction (OSA). The results obtained show complementarities between these two theoretical perspectives, which might allow more detailed analysis of the students' performance.

The brain is a complex organ with an intellectual capacity that is unique to humans. For educators, it is wise to study the brain's many attributes and how it functions to help guide, inform, and improve teaching practice. Learners' brains are particularly sensitive to certain kinds of stimuli--that is social, physical, cognitive, and emotional stimuli. Brain development and cognition is further enhanced with continuous exposure to high quality learning activities and methods, particularly those that help children use mental patterns to make sense of their learning. Children's young brains take in information in a totally different way than adult brains. Secret Stories, a new, innovative way to teach children the grammar rules of English in a way that is tailored to their growing minds, is presented in this article.

Addressed are four key issues regarding concrete instruction: What is concrete? What is a worthwhile concrete experience? How can concrete experiences be used effectively in early childhood mathematics instruction? Is there evidence such experiences work? I argue that concrete experiences are those that build on what is familiar to a child and can involve objects, verbal analogies, or virtual images. The use of manipulatives or computer games, for instance, does not in itself guarantee an educational experience. Such experiences are worthwhile "if" they target and further learning (e.g., help children extend their informal knowledge or use their informal knowledge to understand and learn formal knowledge). A crucial guideline for the effective use of concrete experience is Dewey's principle of interaction--external factors (e.g., instructional activities) need to mesh with internal factors (readiness, interest). Cognitive views of concrete materials, such as the cognitive alignment perspective and dual-representation hypothesis, provide useful guidance about external factors but do not adequately take into account internal factors and their interaction with external factors. Research on the effectiveness of concrete experience is inconclusive because it frequently overlooks internal factors.

We investigated whether standardized neuropsychological tests and experimental cognitive paradigms measure the same cognitive faculties. Specifically, do neuropsychological tests commonly used to assess attention measure the same construct as attention paradigms used in cognitive psychology and neuroscience? We built on the "general attention factor", comprising several widely used experimental paradigms (Huang et al., 2012). Participants (n = 636) completed an on-line battery (TestMyBrain.org) of six experimental tests [Multiple Object Tracking, Flanker Interference, Visual Working Memory, Approximate Number Sense, Spatial Configuration Visual Search, and Gradual Onset Continuous Performance Task (Grad CPT)] and eight neuropsychological tests [Trail Making Test versions A & B (TMT-A, TMT-B), Digit Symbol Coding, Forward and Backward Digit Span, Letter Cancellation, Spatial Span, and Arithmetic]. Exploratory factor analysis in a subset of 357 participants identified a five-factor structure: (1) attentional capacity (Multiple Object Tracking, Visual Working Memory, Digit Symbol Coding, Spatial Span); (2) search (Visual Search, TMT-A, TMT-B, Letter Cancellation); (3) Digit Span; (4) Arithmetic; and (5) Sustained Attention (GradCPT). Confirmatory analysis in 279 held-out participants showed that this model fit better than competing models. A hierarchical model where a general cognitive factor was imposed above the five specific factors fit as well as the model without the general factor. We conclude that Digit Span and Arithmetic tests should not be classified as attention tests. Digit Symbol Coding and Spatial Span tap attentional capacity, while TMT-A, TMT-B, and Letter Cancellation tap search (or attention-shifting) ability. These five tests can be classified as attention tests.

Although reading is an important and generative skill, it remains controversial how reading skills and reading difficulties develop. Currently, the fields of neuroscience, cognition, and education each have complex models to describe reading and elucidate where in the reading process deficits occur. We suggest that integrating the neural, cognitive, and educational accounts of reading offers the promise of transformative change in understanding reading development and reading difficulties. As a starting point for bridging the gaps among these fields, we used naming speed tasks as the basis for this review because they provide a "microcosm" of the processes involved during reading. We use naming speed tasks to investigate how incorporating cognitive psychology with neuroimaging techniques, under the guidance of educational theories, can further the understanding of learning and instruction, and may lead to the identification of the neural signatures of reading difficulties that might be hidden from view earlier in development.

This article exhorts the observer to take notice of the unconscious and conscious levels of the young child's absorbent mind (infant stare). Montessori notes the social awareness of young children and suggests that their amazing awareness of people, not merely their activities, is integral to observation. [Reprinted with permission from "AMI Communications 2" (1978): 2-5.]

A newly identified character trait defined as "passion and perseverance for long-term goals," grit adds to our understanding of student behavior. While certain parts of grit can be taught, research is only beginning to examine how educators can do so.