151 research outputs found

    Learning styles, learning outcomes and course satisfaction: an investigation of a blended computer literacy course

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    This study examines the relationships among learning styles, learning outcomes and course satisfaction in a blended computer literacy undergraduate course at Iowa State University. Based on results from Kolb\u27s Learning Style Inventory (1999), participants were classified into one of four learning styles: Accommodator, Assimilator, Converger, or Diverger. The analyses of quantitative data (final grades, online survey) and qualitative data (interviews) indicated that there was little relationship between learning styles and learning outcomes as measured by final grades, or between learning styles and course satisfaction assessed from general feelings, communication and interaction, course organization, assessment, and weekly lab session in a blended learning environment. These findings support the research results as shown in Larsen (1992), Shih & Gamon (1999), and Wang, Hinn and Kanfer (2001). Quantitative data analysis showed a significant relationship between learning styles and course expectations, and between learning styles and the perceived value of the course schedule. Three students selected to represent three learning styles (all female) valued the blending of on-site labs with the web-based lecture component, whereas the only Converger interviewed (a male) did not value the blended on-site lab activities which complemented the web-based lecture component. This study suggests that blended learning offers a good opportunity to maximize students\u27 learning as stated by Singh (2003) and Thorne (2003)

    Efficient Algorithms for Load Shuffling in Split-Platform AS/RS

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    We address the issue of shuffling loads in Automated Storage/Retrieval Systems (AS/RS) in this paper. The objective is to pre-sort the loads into any specified locations in order to minimize the response time of retrievals. 1D, 2D and 3D AS/RS racks have been designed in order to achieve the shuffling efficiently. The shuffling algorithms are described in detail. The response time of retrieval, the lower and upper bounds of energy consumption are also derived. Results of the analysis and numerical experiments show that the shuffling algorithms are quite efficient.Singapore-MIT Alliance (SMA

    Ultra-bright, ultra-broadband hard x-ray driven by laser-produced energetic electron beams

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    We propose a new method of obtaining a compact ultra-bright, ultra-broadband hard X-ray source. This X-ray source has a high peak brightness in the order of 1022 photons/(s mm2 mrad2 0.1\%BW), an ultrashort duration (10 fs), and a broadband spectrum (flat distribution from 0.1 MeV to 4 MeV), and thus has wide-ranging potential applications, such as in ultrafast Laue diffraction experiments. In our scheme, laser-plasma accelerators (LPAs) provide driven electron beams. A foil target is placed oblique to the beam direction so that the target normal sheath field (TNSF) is used to provide a bending force. Using this TNSF-kick scheme, we can fully utilize the advantages of current LPAs, including their high charge, high energy, and low emittance

    Scheme for proton-driven plasma-wakefield acceleration of positively charged particles in a hollow plasma channel

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    A new scheme for accelerating positively charged particles in a plasma wakefield accelerator is proposed. If the proton drive beam propagates in a hollow plasma channel, and the beam radius is of order of the channel width, the space charge force of the driver causes charge separation at the channel wall, which helps to focus the positively charged witness bunch propagating along the beam axis. In the channel, the acceleration buckets for positively charged particles are much larger than in the blowout regime of the uniform plasma, and stable acceleration over long distances is possible. In addition, phasing of the witness with respect to the wave can be tuned by changing the radius of the channel to ensure the acceleration is optimal. Two dimensional simulations suggest that, for proton drivers likely available in future, positively charged particles can be stably accelerated over 1 km with the average acceleration gradient of 1.3 GeV/m.Comment: 16 pages, 4 figures, 25 reference
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