1,721,064 research outputs found

    The Effects of Psychological Sense of Community in Online and Face-to-Face Academic Courses

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    Recent studies have shown that the Psychological Sense of Community (PSoC) felt by students plays a key role in affecting their performance, satisfaction and persistence in academic degree programs. Hence, the lower student performance and higher dropout rates suffered by on-line courses in comparison with their face-to-face counterparts are often traced back to lower levels of PSoC caused by the lack of physical interactions among students who learn at a distance. The aim of this work is to understand to what extent the development of PSoC is related with teaching methods and to what extent it affects the learning process. To this purpose, we conduct a comparative analysis between the online and face-to-face versions of the same degree program, differing only for the lack of physical interactions. Multivariate analysis of variance and partial correlations are used both to isolate the effect of the teaching method on PSoC and to point out the effect of PSoC on performance, satisfaction and dropout. The outcomes of the analysis show that similar levels of PSoC and satisfaction are achieved within the two populations and that the differences observed in terms of performance and retention are mainly explained by the different composition of the corresponding cohorts

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Enabling Testability of Fault-Tolerant Circuits by Means of IDDQ-Checkable Voters

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    The reliability of a fault-tolerant circuit may be drastically impaired by the presence of maskable faults that never affect its functionality. Design for testability (DFT) techniques have to be applied to make maskable faults detectable. During the testing phase, traditional DFT schemes inhibit fault masking and/or activate additional observation/control paths through the circuit. Such schemes, however, do not enable on-line testing and cannot be applied to multilevel fault-tolerant circuits, where fault-masking is repeatedly performed inside the circuit. We propose a new approach to the design of testable fault-tolerant CMOS circuits that overcomes both limitations. Our approach is based on the use of I_DDQ-checkable voters (ICVs) that enable a complete test of maskable faults of any multiplicity during normal operations
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