11,006 research outputs found

    Strengthening the Scientific Foundations of Professional Psychology: Time for the Next Steps

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    The field of professional psychology has been tremendously successful, although it has also been characterized by many competing preparadigmatic theoretical orientations, which have led to a great deal of contention as well as conflicting views regarding psychological development, functioning, and behavior change. There is now widespread agreement regarding scientific explanations of many psychological processes, however, and, consequently, it is time to update the basic conceptual frameworks used for professional psychology education and practice. Replacing the traditional reliance on an array of theoretical orientations with a science-based biopsychosocial framework would resolve many of the contradictions and conflicts that characterized the preparadigmatic era and would also provide a common perspective for unifying psychologists around a shared approach to practice, research, and training

    Using theory to inform capacity-building: Bootstrapping communities of practice in computer science education research

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    In this paper, we describe our efforts in the deliberate creation of a community of practice of researchers in computer science education (CSEd). We understand community of practice in the sense in which Wenger describes it, whereby the community is characterized by mutual engagement in a joint enterprise that gives rise to a shared repertoire of knowledge, artefacts, and practices. We first identify CSEd as a research field in which no shared paradigm exists, and then we describe the Bootstrapping project, its metaphor, structure, rationale, and delivery, as designed to create a community of practice of CSEd researchers. Features of other projects are also outlined that have similar aims of capacity building in disciplinary-specific pedagogic enquiry. A theoretically derived framework for evaluating the success of endeavours of this type is then presented, and we report the results from an empirical study. We conclude with four open questions for our project and others like it: Where is the locus of a community of practice? Who are the core members? Do capacity-building models transfer to other disciplines? Can our theoretically motivated measures of success apply to other projects of the same nature

    Chapter 8 : Evaluating Intentional Education Practice in Graduate Programs

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    The purpose of this chapter was to examine whether the six variables of graduate educational quality predict intentional education practice (IEP) (teaching style) in United States graduate university programs. The issue is that graduate student engagement, student satisfaction, and matriculation diminish without IEP. Consequently, current performance measures of graduate higher educational programs illuminate issues in processes within instruction, quantity of trained instructor mentors, professional support networks, and existing programming, which may need improvement. Indeed, past researchers have noted limitations in higher educational and graduate school environments. Performance measurement variables impact long-term institutional effectiveness and remain largely unknown within educational institutions. However, some studies have noted IEP may be used as a variable to impact teaching effectiveness

    The First-Year Gateway Experience: A Groundbreaking Model

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    Based on calls for a paradigm shift in higher education, which have appeared in the literature for years (Barr &Tagg, 1995; Tagg, 2003, Bryant University transformed its first-year experience into an innovative model, The First-Year Gateway). Informed by research from The Carnegie Foundation for the Advancement of Teaching’s Rethinking Undergraduate Business Education, the Association of American Colleges & Universities’ Liberal Education for America’s Promise, and the Wabash National Study, a group identified five learning outcomes: effective communication, critical thinking, ethical reasoning, diversity awareness, and information literacy. Key to this undertaking was faculty development, and utilizing assessment data to improve curricular design and learning outcomes. The result is an interdisciplinary 13 credit first-year program developed to foster a successful transition into Bryant University. Launched in fall 2012, assessment data was gathered to determine whether common learning outcomes were achieved. Faculty embedded student success goals into their courses, which are designed to foster purposeful adjustment to higher education. Preliminary assessment indicates institutional gains in retention, academic standing, and student and faculty engagement during the implementation year. The new model, based on Wenger’s community of practice (COP), created opportunities to discuss pedagogy. Most importantly, the model fostered faculty’s deeper understanding of first-year transitions

    JXTA-Overlay: a P2P platform for distributed, collaborative, and ubiquitous computing

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    With the fast growth of the Internet infrastructure and the use of large-scale complex applications in industries, transport, logistics, government, health, and businesses, there is an increasing need to design and deploy multifeatured networking applications. Important features of such applications include the capability to be self-organized, be decentralized, integrate different types of resources (personal computers, laptops, and mobile and sensor devices), and provide global, transparent, and secure access to resources. Moreover, such applications should support not only traditional forms of reliable distributing computing and optimization of resources but also various forms of collaborative activities, such as business, online learning, and social networks in an intelligent and secure environment. In this paper, we present the Juxtapose (JXTA)-Overlay, which is a JXTA-based peer-to-peer (P2P) platform designed with the aim to leverage capabilities of Java, JXTA, and P2P technologies to support distributed and collaborative systems. The platform can be used not only for efficient and reliable distributed computing but also for collaborative activities and ubiquitous computing by integrating in the platform end devices. The design of a user interface as well as security issues are also tackled. We evaluate the proposed system by experimental study and show its usefulness for massive processing computations and e-learning applications.Peer ReviewedPostprint (author's final draft

    The effectiveness of brain-compatible blended learning material in the teaching of programming logic

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    Blended learning is an educational approach which integrates seemingly distinct educational approaches such as face-to-face and online experiences. In a blended learning environment, the classroom lectures can, for example, be augmented with learning material opened in a variety of technologically delivered formats. Brain-compatible learning is an approach to education which stems from a combination of neuroscience and educational psychology. Brain compatible learning is not a formalised education approach or recipe for teachers', instead it provides a `set of principles and a base of knowledge and skills upon which we can make better decisions about the learning process. While the electiveness of education based on brain-compatible learning principles have been proven in a classroom environment, very little knowledge exists regarding its use in an e-learning environment. The purpose of this research was to determine whether an e-learning intervention which was designed according to brain-compatible learning principles would have an elect on student motivation to learn and on student achievement in the subject Technical programming 1. An e-learning based educational intervention which incorporated several brain-compatible learning principles was designed and administered as a controlled experiment intervention. The impact of the research experiment was measured both qualitatively using an purpose-designed instrument and quantitatively through an analysis of the formal assessments for this subject. The findings of this study, namely that brain-compatible learning principles can be used in an e-learning environment and that e-learning material which adheres to brain-compatible education principles have a positive elect on Technical Programming 1 students' achievement and motivation to learn, appear to be meaningful contributions to the current debate on blended learning

    Skill-Based Teaching For Undergraduate STEM Majors

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    This article presents a case study that illustrates the paradigmatic shift in higher education from content-centered teaching to learning-centered academic programs. This pragmatic change, triggered by the STEM movement, calls for the introduction of success measures in the course development process. The course described in this paper illustrates such a goal-driven approach to the development of an entire multidisciplinary curriculum in mechanical engineering and mechatronics. The effectiveness of this new curriculum was confirmed by findings of a survey of graduates of the first six graduating classes who studied on the basis of this curriculum.

    Training for understanding: a model for mediating abstract statistical concepts

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    The use of training models is suggested as an instructional tool facilitating understanding of abstract concepts as measured by transfer to problem solving settings. A three stage model was developed to mediate the transfer of attributes and structures from known concrete concepts to unknown abstract concepts. Student groups received computer based training followed by post-tests for factual retention, near transfer of model procedures (non-novel problems), and far transfer of model procedures (novel problems). Two test groups of university students received training using the developed training model and instruction using abstract statistical concepts. Two control groups received either model or statistical concept training but not both. Results indicate that the model training used did improve factual retention but not increase related near and far transfer in the statistical problem solving situation
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