386 resultados para lms


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A new function for egen has been developed to allow transformation of child anthropometric data to z-scores using the LMS method and the reference data available from the 1990 British Growth Reference and the 2000 US CDC Growth Reference. An additional function allows for children to be categorized according to body mass index (weight/height 2) using international cutoff points recommended by the Childhood Obesity Working Group of the International Obesity Taskforce. Copyright 2004 by StataCorp LP.

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In February this year, Deakin University launched Deakin Studies Online (DSO), its institution-wide learning management system (LMS) powered by WebCT Vista. Previously academics had a variety of applications available to them (and still do until DSO is fully implemented by late 2004) to support teaching and learning. These include TopClass, FirstClass, WebCT 3.6 and various custom-built systems and web pages.

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The dynamics of teaching and learning in higher education are being affected by a combination of educational, social, political and economic factors, and one of the most important changes is the extent to which Learning Management Systems (LMS) are forming the basis for online teaching and learning environments. Deakin University has just completed an extensive evaluation of learning management systems (LMS) to select an enterprise level online teaching and learning system. One of the important aspects of this process is that unlike other evaluations which focused on systems comparison, this evaluation was user-centred, taking into account teaching and learning needs to determine the LMS that would best align with those needs. This paper examines the methods and results of this collection of staff and student needs in online teaching and learning.

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The performance of the modified adaptive conjugate gradient (CG) algorithms based on the iterative CG method for adaptive filtering is highly related to the ways of estimating the correlation matrix and the cross-correlation vector. The existing approaches of implementing the CG algorithms using the data windows of exponential form or sliding form result in either loss of convergence or increase in misadjustment. This paper presents and analyzes a new approach to the implementation of the CG algorithms for adaptive filtering by using a generalized data windowing scheme. For the new modified CG algorithms, we show that the convergence speed is accelerated, the misadjustment and tracking capability comparable to those of the recursive least squares (RLS) algorithm are achieved. Computer simulations demonstrated in the framework of linear system modeling problem show the improvements of the new modifications.

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In this paper, the analysis for the performance of the discrete Fourier transform LMS adaptive filter (DFT-LMS) and the discrete cosine transform LMS adaptive filter (DCT-LMS) for the Markov-2 inputs is presented. To improve the convergence property of the least mean squares (LMS) adaptive filter, the DFT-LMS and DCT-LMS preprocess the inputs with the fixed orthogonal transforms and power normalization. We derive the asymptotic results for the eigenvalues and eigenvalue distributions of the preprocessed input autocorrelation matrices with DFT-LMS and DCT-LMS for Markov-2 inputs. These results explicitly show the superior decorrelation property of DCT-LMS over that of DFT-LMS, and also provide the upper bounds for the eigenvalue spreads of the finite-length DFT-LMS and DCT-LMS adaptive filters. Simulation results are demonstrated to support the analytic results.

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In 2003, Deakin University implemented a centralised learning management system (LMS) under the banner of Deakin Studies Online (DSO), as well as implementing policies requiring all its units of study to have at least a basic online presence from 2004. Given the scope of the university's commitment to online education, it was considered essential to evaluate the effectiveness of this investment. Based on more than 5400 responses obtained from students in 2004 and 2005 as part of the DSO evaluation survey, the analysis presented here identifies those elements of the online learning environment (OLE) that are most used and valued by students, those elements of the OLE that students most want to see improved, and, those factors that most contribute to students' perceptions that use of the OLE enhanced their learning experience. The most used and valued elements were core LMS functions, including accessing unit information, accessing lecture/tute/lab notes, interacting with unit learning resources, reading online discussions, contacting lecturers/tutors and submitting assignments online. The OLE elements identified as most needing attention were receiving feedback on assignments; viewing my marks; and reviewing unit progress. Students felt that using DSO enhanced their learning experience when they were adequately supported by unit teachers and technical support services; when they were able to find and use unit information; and when they were able to read the online contributions of other unit members. The retrospective analysis of data collected in the period 2004-2005 has been shaped by a forward-looking agenda. The array of elements available within, and in association with, traditional LMSs which has emerged since that time raises the future challenge of how to maximise and evidence educational value through the optimal combination of elements from the portfolio of e-learning technologies increasingly available to educators.

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The Deakin Studies Online (DSO) Learning Management System (LMS) forms the fundamental basis for tertiary education at Deakin University. This LMS is founded on Web 1.0 principles, however significant potential exists for engagement in Web 2.0 technologies to support learning and teaching in the design studio. A digitally enhanced design curriculum is discussed starting with html-based reflective folios in 2001, the use of blogs for reflection and resource creation and culminating in a Web 2.0 design studio based on social networking.

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The data was collected to gauge Deakin University students' perceptions of the university's centralised learning management system, especially if it enhanced their learning experience. It identified the features that were most used and valued by the students and those they felt could be improved.

The dataset consists of a set of survey questions and the survey results in an electronic database. It comprises of 2908 responses from 2004 and 2526 responses from 2005; including approximately 1000 open-ended comments providing rich qualitative data.

The data includes the following categories of information:
• demographic and background information (including gender, mode of study);
• perception of importance of and satisfaction with a range of LMS functions;
• a number of overall LMS satisfaction measures; and
• open-ended written comments about the LMS.

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The data was collected to guage Deakin University staff perceptions of the university's centralised learning management system, especially if it enhanced their teaching. It identified the features that were most used and valued by the teaching staff and those they felt could be improved.

The dataset is comprised of a set of survey questions and the survey results in an electronic database. It consists of 156 responses from 2004 and 120 responses from 2005; including approximately 100 open-ended comments providing rich qualitative data.

The data includes the following categories of information:
• demographic and background information (including gender, mode of study);
• perception of importance of and satisfaction with a range of LMS functions;
• a number of overall LMS satisfaction measures; and
• open-ended written comments about the LMS.

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Teachers have a major responsibility to engage students online for successful learning in online distance education programs. Identifying key aspects of the teachers’ role is important. The study reported in this paper investigated an online course for paramedic students. Data were collected from the teachers and students and their online interactions were observed. The study has shown that students’ message posting is likely to be related to the cognitive demand and accessibility of discussion tasks that staff design and the quality of teacher facilitation of discussion.

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Deakin University has a long association with e-learning platforms, utilising the functionality of various Learning Management Systems (LMS) over a period of years. Transforming learning and teaching is a key priority of the University and moving to a new generation e-learning platform that supports engaging learning experiences through quality course design is a strategic imperative.

In 2010 Deakin University selected Desire2Learn as its replacement LMS, an innovative platform that offers next generation functionality. The University is investing significant resources in 2011 to implement the new system. The Library is harnessing the opportunity to embed search and discovery and information access throughout the LMS, including presence at the highest level of navigation. A Library widget providing students with clear pathways and immediate access to key library collections, services and features is being developed by the Library in conjunction with the Faculties‟ academic champions and educational developers. Liaison Librarians are negotiating with academic staff to create context-specific pathways, to utilise Desire2Learn Web2.0 capabilities and to imbed more personalised resources and LibGuides aligned with units of study. This is happening at a time when libraries are introducing new approaches to information discovery.

This paper describes Deakin University Library‟s journey in partnering with academic staff and others across the University to implement Desire2Learn as a vital new e-learning platform. It reports on many outcomes including: value created by embedding quality information in learner-centred course delivery; increased awareness of library subscription resources when accessible within students‟ workspace; strong and continuing relationships built with academic staff; enhanced Library staff engagement with flexible learning principles and new technologies. The question of where embedding information access in online courses and units fits with the Library‟s exploration of web scale solutions is also touched upon. And finally, an insight into how recent research undertaken by Deakin University Library has influenced our approach to information discovery solutions suggests an opportunity for many more questions to be explored.

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All solid-state organic ionic plastic crystal–polymer nanofibre composite electrolytes are described for the first time. The new composite materials exhibit enhanced conductivity, excellent thermal, mechanical and electrochemical stability and allow the production of optically transparent, free-standing, flexible, thin film electrolytes (10’s lms thick) for application in electrochemical devices. Stable cycling of a lithium cell incorporating the new composite electrolyte is demonstrated, including cycling at lower temperatures than previously possible with the pure material.

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