9,874 research outputs found

    Mixing Metaphors In The Cerebral Hemispheres: What Happens When Careers Collide?

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    Are processes of figurative comparison and figurative categorization different? An experiment combining alternative-sense and matched-sense metaphor priming with a divided visual field assessment technique sought to isolate processes of comparison and categorization in the 2 cerebral hemispheres. For target metaphors presented in the right visual field/left cerebral hemisphere (RVF/LH), only matched-sense primes were facilitative. Literal primes and alternative-sense primes had no effect on comprehension time compared to the unprimed baseline. The effects of matched-sense primes were additive with the rated conventionality of the targets. For target metaphors presented to the left visual field/right cerebral hemisphere (LVF/RH), matched-sense primes were again additively facilitative. However, alternative-sense primes, though facilitative overall, seemed to eliminate the preexisting advantages of conventional target metaphor senses in the LVF/RH in favor of metaphoric senses similar to those of the primes. These findings are consistent with tightly controlled categorical coding in the LH and coarse, flexible, context-dependent coding in the RH. (PsycINFO Database Record (c) 2013 APA, all rights reserved)(journal abstract

    The Case for Developing and Deploying an Open Source Electronic Logistics Management Information System

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    Summarizes efforts to strengthen health information systems in low- and lower-middle-income countries, including development of common requirements. Outlines models for collaboration among stakeholders, national leaders, and health information users

    Student-Centered Learning: Functional Requirements for Integrated Systems to Optimize Learning

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    The realities of the 21st-century learner require that schools and educators fundamentally change their practice. "Educators must produce college- and career-ready graduates that reflect the future these students will face. And, they must facilitate learning through means that align with the defining attributes of this generation of learners."Today, we know more than ever about how students learn, acknowledging that the process isn't the same for every student and doesn't remain the same for each individual, depending upon maturation and the content being learned. We know that students want to progress at a pace that allows them to master new concepts and skills, to access a variety of resources, to receive timely feedback on their progress, to demonstrate their knowledge in multiple ways and to get direction, support and feedback from—as well as collaborate with—experts, teachers, tutors and other students.The result is a growing demand for student-centered, transformative digital learning using competency education as an underpinning.iNACOL released this paper to illustrate the technical requirements and functionalities that learning management systems need to shift toward student-centered instructional models. This comprehensive framework will help districts and schools determine what systems to use and integrate as they being their journey toward student-centered learning, as well as how systems integration aligns with their organizational vision, educational goals and strategic plans.Educators can use this report to optimize student learning and promote innovation in their own student-centered learning environments. The report will help school leaders understand the complex technologies needed to optimize personalized learning and how to use data and analytics to improve practices, and can assist technology leaders in re-engineering systems to support the key nuances of student-centered learning

    A Platform for the Analysis of Qualitative and Quantitative Data about the Built Environment and its Users

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    There are many scenarios in which it is necessary to collect data from multiple sources in order to evaluate a system, including the collection of both quantitative data - from sensors and smart devices - and qualitative data - such as observations and interview results. However, there are currently very few systems that enable both of these data types to be combined in such a way that they can be analysed side-by-side. This paper describes an end-to-end system for the collection, analysis, storage and visualisation of qualitative and quantitative data, developed using the e-Science Central cloud analytics platform. We describe the experience of developing the system, based on a case study that involved collecting data about the built environment and its users. In this case study, data is collected from older adults living in residential care. Sensors were placed throughout the care home and smart devices were issued to the residents. This sensor data is uploaded to the analytics platform and the processed results are stored in a data warehouse, where it is integrated with qualitative data collected by healthcare and architecture researchers. Visualisations are also presented which were intended to allow the data to be explored and for potential correlations between the quantitative and qualitative data to be investigated

    Healthcare Data Analytics on the Cloud

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    Meaningful analysis of voluminous health information has always been a challenge in most healthcare organizations. Accurate and timely information required by the management to lead a healthcare organization through the challenges found in the industry can be obtained using business intelligence (BI) or business analytics tools. However, these require large capital investments to implement and support the large volumes of data that needs to be analyzed to identify trends. They also require enormous processing power which places pressure on the business resources in addition to the dynamic changes in the digital technology. This paper evaluates the various nuances of business analytics of healthcare hosted on the cloud computing environment. The paper explores BI being offered as Software as a Service (SaaS) solution towards offering meaningful use of information for improving functions in healthcare enterprise. It also attempts to identify the challenges that healthcare enterprises face when making use of a BI SaaS solution

    Governing Change? Considerations for Education Policymakers

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    In the policy brief, Governing Change? Considerations for Education Policymakers, the Rennie Center examines models of education governance in other states and draws out lessons to help inform policy discussions in Massachusetts.In 2007, the commonwealth had three divisions within the public education sector: the Department of Early Education and Care, the Department of Education, and the Board of Higher Education. The rationale for better integrating these divisions is that if public education is to be a seamless process that starts in pre-school and terminates at the post-secondary level, then the system might be more efficiently and effectively governed by a single, unified structure. While there is growing interest in creating an integrated governance structure, there is also concern. However appealing the benefits seem, the challenges, substantive and political, of dismantling the current bureaucracy and assembling a new system are significant.The report presents case studies of four states that have engaged in the process of designing education governance systems that stretch from pre-school through graduate school and draws implications for consideration by Massachusetts policymakers.Considerations for PolicymakersAs policymakers contemplate changing the way education is governed in Massachusetts, this policy brief presents the following questions:What does the commonwealth hope to accomplish by changing to a P-20 governance structure?Who will be responsible for what? What will collaboration look like? How will the governance structure support collaboration and coordination between sectors?How will the commonwealth determine whether its new governance system has led to improvements in the quality of education in the early childhood, K-12 and postsecondary sectors?When addressing these questions, this brief focuses on four areas of education policy that would require reform: (1) alignment of standards, curriculum and assessment; (2) data systems; (3) finance; and (4) accountability. Using these four policy areas as illustrations, we examine the potential of an integrated system and what ideal practices might look like in each area.The policy brief was the subject of discussion at a public event on Friday, April 27, 2007 at the Omni Parker House Hotel
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