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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.

Reading primary research literature is an essential skill for all scientists and students on science degree programmes, however little is known about how researchers at different career stages interact with and interpret scientific papers. To explore this, we conducted a survey of 260 undergraduate students and researchers in Biological Sciences at a research intensive UK university. Responses to Likert scale questions demonstrated increases in confidence and skill with reading the literature between individuals at each career stage, including between postdoctoral researchers and faculty academics. The survey indicated that individuals at different career stages valued different sections of scientific papers, and skill in reading the results section develops slowly over the course of an academic career. Inexperienced readers found the methods and results sections of research papers the most difficult to read, and undervalued the importance of the results section and critical interpretation of data. These data highlight a need for structured support with reading scientific literature at multiple career stages, and for senior academics to be aware that junior colleagues may prioritise their reading differently. We propose a model for the development of literature processing skills, and consider the need for training strategies to help inexperienced readers engage with primary literature, and therefore develop important skills that underpin scientific careers. We also encourage researchers to be mindful of language used when writing papers, and to be more inclusive of diverse audiences when disseminating their work. [ABSTRACT FROM AUTHOR]

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.

In October 2011, Council for Learning Disabilities' (CLD's) research committee members (i.e., authors of this article) presented their "Must Reads" at the organization's 33rd Annual International Conference on Learning Disabilities. In this article, the presenters summarize a few of their selected articles and state why each article is a "Must Read." It comes as little surprise that the chosen articles address the specific recent research in the field of LD. For example, Beverly L. Weiser's articles focus on Strategic Counting Instruction and the response-to-intervention (RtI) literature for students with LD. Deborah K. Reed shares very recent developments in reading instruction and progress monitoring. Comprehension is the main topic for Caroline I. Kethley; specifically, she presents information on cognitive strategy instruction and the nature, causes, and treatments of LD. This article concludes with Patricia G. Mathes providing information from articles that represent some of the research on adolescents with LD and new neurobiological findings about dyslexia.

This is a review of Formalizing Common Sense: Papers by John McCarthy, ed. by Vladimir Lifschitz, published by Ablex Publishing Corp. in 1990.

Do highly productive researchers have significantly higher probability to produce top cited papers? Or do high productive researchers mainly produce a sea of irrelevant papers—in other words do we find a diminishing marginal result from productivity? The answer on these questions is important, as it may help to answer the question of whether the increased competition and increased use of indicators for research evaluation and accountability focus has perverse effects or not. We use a Swedish author disambiguated dataset consisting of 48.000 researchers and their WoS-publications during the period of 2008–2011 with citations until 2014 to investigate the relation between productivity and production of highly cited papers. As the analysis shows, quantity does make a difference. [ABSTRACT FROM AUTHOR]

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.

Conventional statistics methods in most psychological research, such as null-hypothesis significance tests (NHSTs), use aggregated values (i.e., the sample means) of group behaviours to make inferences about individuals. Such inferences are possibly erroneous because groups of humans rarely, if ever, constitute an ergodic system. To assume ergodicity without checking is to commit the 'ergodic fallacy'. The aim of the current study was to examine the prevalence of this error in contemporary psychological research. We analysed three highly cited 'Q1' journals in the fields of clinical, educational and cognitive psychology for statements that indicated this error. As hypothesized, the ergodic fallacy was found in the vast majority of the papers investigated here. We also hypothesised that the prevalence of this error would be highest in cognitive psychology papers because this field typically assesses theoretical claims about universal cognitive mechanisms, whereas clinical and educational psychology are more concerned with empirically supported interventions. This hypothesis was also supported by our results. Nonetheless, the prevalence of the ergodic fallacy was still high in all fields. Implications are discussed with respect to the reporting of research findings and the validity of theories in psychology. [ABSTRACT FROM AUTHOR]

The Semantic Link Network is a general semantic model for modeling the structure and the evolution of complex systems. Various semantic links play different roles in rendering the semantics of complex system. One of the basic semantic links represents cause-effect relation, which plays an important role in representation and understanding. This paper verifies the role of the Semantic Link Network in representing the core of text by investigating the contribution of cause-effect link to representing the core of scientific papers. Research carries out with the following steps: (1) Two propositions on the contribution of cause-effect link in rendering the core of paper are proposed and verified through a statistical survey, which shows that the sentences on cause-effect links cover about 65% of key words within each paper on average. (2) An algorithm based on syntactic patterns is designed for automatically extracting cause-effect link from scientific papers, which recalls about 70% of manually annotated cause-effect links on average, indicating that the result adapts to the scale of data sets. (3) The effects of cause-effect link on four schemes of incorporating cause-effect link into the existing instances of the Semantic Link Network for enhancing the summarization of scientific papers are investigated. The experiments show that the quality of the summaries is significantly improved, which verifies the role of semantic links. The significance of this research lies in two aspects: (1) it verifies that the Semantic Link Network connects the important concepts to render the core of text; and, (2) it provides an evidence for realizing content services such as summarization, recommendation and question answering based on the Semantic Link Network, and it can inspire relevant research on content computing. [ABSTRACT FROM AUTHOR]

The need to complete multiple tasks concurrently is a common occurrence both daily life and in occupational activities, which can often include simultaneous cognitive and physical demands. As one example, there is increasing availability of head-worn display technologies that can be employed when a user is mobile (e.g., while walking). This new method of information presentation may, however, introduce risks of adverse outcomes such as a decrement to gait performance. The goal of this study was thus to quantify the effects of a head-worn display (i.e., smart glasses) on motor variability during gait and to compare these effects with those of other common information displays (i.e., smartphone and paper-based system). Twenty participants completed four walking conditions, as a single task and in three dual-task conditions (three information displays). In the dual-task conditions, the information display was used to present several cognitive tasks. Three different measures were used to quantify variability in gait parameters for each walking condition (using the cycle-to-cycle standard deviation, sample entropy, and the “goal-equivalent manifold” approach). Our results indicated that participants used less adaptable gait strategies in dual-task walking using the paper-based system and smartphone conditions compared with single-task walking. Gait performance, however, was less affected during dual-task walking with the smart glasses. We conclude that the risk of an adverse gait event (e.g., a fall) in head-down walking conditions (i.e., the paper-based system and smartphone conditions) were higher than in single-task walking, and that head-worn displays might help reduce the risk of such events during dual-task gait conditions. [ABSTRACT FROM AUTHOR]

An editorial is presented which discusses the collaborative writing with multiple authors which has additional challenges including varied levels of engagement of coauthors, provision of fair credit through authorship or acknowledgements and acceptance of diversity of work styles. Also discussed are the 10 simple rules for collaboratively writing a multi-authored paper which include to build a writing team wisely; to create a data management plan and to jointly decide on authorship guidelines.

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.

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."

Informed consent is the cornerstone of human research subject protection. Many subjects sign consent documents without understanding the study purpose, procedures, risks, benefits, and their rights. Proof of comprehension is not required and rarely obtained. Understanding might improve by using an interactive system with multiple options for hearing, viewing and reading about the study and the consent form at the subject’s own pace with testing and immediate feedback. This prospective randomized study compared the IRB-approved paper ICF for an actual clinical research study with an interactive presentation of the same study and its associated consent form using an iPad device in two populations: clinical research professionals, and patients drawn from a variety of outpatient practice settings. Of the 90 participants, 69 completed the online test and survey questions the day after the session (maximum 36 hours post-session). Among research professionals (n = 14), there was a trend (p  = .07) in the direction of iPad subjects testing better on the online test (mean correct  =  77%) compared with paper subjects (mean correct  =  57%). Among patients (n = 55), iPad subjects had significantly higher test scores than standard paper consent subjects (mean correct  =  75% vs 58%, p < .001). For all subjects, the total time spent reviewing the paper consent was 13.2 minutes, significantly less than the average of 22.7 minutes total on the three components to be reviewed using the iPad (introductory video, consent form, interactive quiz). Overall satisfaction and overall enjoyment slightly favored the interactive iPad presentation. This study demonstrates that combining an introductory video, standard consent language, and an interactive quiz on a tablet-based system improves comprehension of research study procedures and risks. [ABSTRACT FROM AUTHOR]

Vygotsky's concept of ZPD (Zone of Proximal Development) has been recently applied to the context of language teacher education by a number of researchers (e.g. Ohta, 2005; Singh & Richards, 2006; Nassaji & Cumming, 2000). Besides Vygotsky's notion of ZPD, this paper relies on two associated theories from outside the TESOL discipline namely; Valsiner's (1997) Zone theory and Blanton, Westbrook and Carter's (2008) illusionary zone (IZ)to provide a broad picture of the most influential variables facilitating or constraining teacher's professional development or, as specifically defined here, his ZPD progression. Several excerpts in the form of teacher comments taken from different qualitative studies in the related literature are given to lay evidence for the effect, if any, of the raised variables. Finally, the paper concludes with some practical tips for the pre/in-service language teachers as to how to keep their evolving ZPD dynamic in their long-life language teaching profession.

In this paper we aim to describe the process by which our personalised web-based collaborative teaching/learning methodology (CECIP--Collaboration--Evaluation--Critical thinking--Individual assessment--learner Profile) evolved originating from Vygotsky's theory and based on the (C) collaborative construction of student's knowledge, (E) developing evaluation and assessment skills, (C) developing critical thinking skills, (I) integrating individual evaluation and (P) generating learner profile. Our CECIP methodology integrates individual learning style dimensions and their preferences into e-learning environment by filling out MBTI, Gardner, GEFT and Felder-Silverman questionnaires during our four-semester research. The paper covers the theoretical foundations of Learning Styles giving analogies to preferred learning strategies. A three-part-research process is described through which the described CECIP model emerged: (1) analysing Learning Styles and Learning Management Systems that claim to support their work; (2) raising the background knowledge of students in cognitive psychology in order to improve design and evaluation methodologies of multimedia learning materials; (3) personalising tasks and assessment based on Bloom's Taxonomy.

The internal design thinking behaviour of designers in the concept development has been an important issue of cognitive psychology. In this study, the design thinking process designers have in applying digital media and traditional paper in the early concept development stage was explored. Special focus was made on the structure and procedure of problem solving. With the verbal data obtained, the protocol analysis was employed to analyse designer's thinking behaviours in using different media. From the study, the author had reached the following conclusions: (1) The proficiency and related knowledge designers have for the design project has a big impact on the construction of the design problem and the efficiency of problem solving and completeness of detail design. (2) Compared with the traditional way of idea development, digital media makes it possible for designers to have an in-depth description of the detail design with the help of related functions in digital media. (3) Designers can have an effective thinking process regarding the micro and macro aspects of a design project because of the function of software, enhancing the completeness of the design thinking while in traditional pen and paper environment, designers use the synthetic and contrast way to manipulate their idea development. The results obtained in this study will benefit both the design education and practical design activity where digital media is applied. (Contains 2 tables and 11 figures.)

The focus of this paper is to familiarize business discipline faculty with cognitive psychology theories of how students learn together with teaching techniques to assist and improve student learning. Student learning can be defined as the outcome from the retrieval (free recall) of desired information. Student learning occurs in two processes. The first process is the transfer of information from short-term memory (STM) of sensory preceptors into long-term memory (LTM). The second process is the retrieval through free recall of that information. This manuscript identifies both the STM and LTM systems along with retrieval of information from LTM and identifies learning techniques used to enhance these processes. More importantly, this paper outlines various techniques to help instructors overcome the typical student attention span of 10 to 20 minutes, and therefore minimize the negative effect of in-class student attention span on learning.

This paper outlines a theoretical paradigm for distinguishing thinking, knowing and believing. A new taxonomy is presented for categorizing levels of knowing and outlines a structure of justification for each level. The paper discusses and explains the importance of such distinctions in decision making and thinking in general.

Recently, there has been a growing emphasis on basic number processing competencies (such as the ability to judge which of two numbers is larger) and their role in predicting individual differences in school-relevant math achievement. Children’s ability to compare both symbolic (e.g. Arabic numerals) and nonsymbolic (e.g. dot arrays) magnitudes has been found to correlate with their math achievement. The available evidence, however, has focused on computerized paradigms, which may not always be suitable for universal, quick application in the classroom. Furthermore, it is currently unclear whether both symbolic and nonsymbolic magnitude comparison are related to children’s performance on tests of arithmetic competence and whether either of these factors relate to arithmetic achievement over and above other factors such as working memory and reading ability. In order to address these outstanding issues, we designed a quick (2 minute) paper-and-pencil tool to assess children’s ability to compare symbolic and nonsymbolic numerical magnitudes and assessed the degree to which performance on this measure explains individual differences in achievement. Children were required to cross out the larger of two, single-digit numerical magnitudes under time constraints. Results from a group of 160 children from grades 1–3 revealed that both symbolic and nonsymbolic number comparison accuracy were related to individual differences in arithmetic achievement. However, only symbolic number comparison performance accounted for unique variance in arithmetic achievement. The theoretical and practical implications of these findings are discussed which include the use of this measure as a possible tool for identifying students at risk for future difficulties in mathematics. [ABSTRACT FROM AUTHOR]

This paper explores various epistemological paradigms available to understand, interpret, and semiotically depict young people. These paradigms all draw upon a metadiscourse of developmental age and stage (e.g. Hall 1914) and then work from particular epistemological views of the world to cast young people in different lights. Using strategic essentialism (Spivak 1996), this paper offers four descriptions of existing paradigms, including biomedical (Erikson 1980), psychological (e.g. Piaget 1973), critical (e.g. Giroux & MacLaren 1982), and postmodern (e.g. Kenway & Bullen 2001). While some of these paradigms have been more distinct in particular cultural, historical, and political contexts, they have overlapped, informing each other as they continue to inform our understandings of young people. Each paradigm carries unique consequences for the role of the learner, the teacher, and the curriculum. This paper explores contemporary manifestations of these paradigms. From this investigation, a potential new space for conceptualising young people is offered. This new space, underpinned by understandings of subjectivity (Grosz 1994), assumes sense of self to be both pivotal in generative learning and closely linked to the context and its dynamics. We aver that such a view of young people and educational settings is necessary at this time of focused attention to the middle years of schooling. In so doing, we explore the potential of classroom life and pre-service teacher education constructed within this new discourse of young people. (Contains 2 notes.)

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.

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.

The mass digitization of books is changing the way information is created, disseminated and displayed. Electronic book readers (e-readers) generally refer to two main display technologies: the electronic ink (E-ink) and the liquid crystal display (LCD). Both technologies have advantages and disadvantages, but the question whether one or the other triggers less visual fatigue is still open. The aim of the present research was to study the effects of the display technology on visual fatigue. To this end, participants performed a longitudinal study in which two last generation e-readers (LCD, E-ink) and paper book were tested in three different prolonged reading sessions separated by - on average - ten days. Results from both objective (Blinks per second) and subjective (Visual Fatigue Scale) measures suggested that reading on the LCD (Kindle Fire HD) triggers higher visual fatigue with respect to both the E-ink (Kindle Paperwhite) and the paper book. The absence of differences between E-ink and paper suggests that, concerning visual fatigue, the E-ink is indeed very similar to the paper. [ABSTRACT FROM AUTHOR]

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.

This paper critically examines the application of research into cognitive neuroscience to educational contexts. It first considers recent warnings from within the neuroscientific community itself about the limitations of current neuroscientific knowledge and the urgent need to dispel popular "neuromyths" which have become accepted in many classrooms. It also criticises the use of over-simplified neuroscience to add scientific credibility to curricular reform, as has been the case in the rationale behind the recent implementation of the Northern Ireland Revised Curriculum. The paper then draws on the philosophy of Wittgenstein to highlight a further conceptual confusion which often surrounds the application of neuroscience to education.

Transfer of knowledge from one context to another is one of the paramount goals of education. Educators want their students to transfer what they are learning from one topic to the next, between courses, and into the "real world." However, it is also notoriously difficult to get students to successfully transfer concepts. This issue is of particular concern in biology and the life sciences, for which transfer of concepts between disciplines is especially critical to understanding. Students not only struggle to transfer concepts like energy from chemistry to biology but also struggle to transfer concepts like chromosome structures in cell division within biology courses. This paper reviews the current research and understanding of transfer from cognitive psychology. We discuss how learner abilities, taught material, and lesson characteristics affect transfer and provide best practices for biology and life sciences education.