16 resultados para Video tapes - Management

em Deakin Research Online - Australia


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This paper acknowledges the new educational possibilities provided by the Internet, as well as identifying its current limitations as an educational medium. Issues of concern in using the Internet include equity and access, infrastructure considerations, intellectual property, development methodologies, implications for the delivery and administration of education, and the relationship between the Internet and other new media in education, including audio/video tapes, computer aided learning software, videoconferencing and CD-ROM. While the Internet offers valuable opportunities to enhance all modes of teaching and learning, and it is likely that most of the current limitations of the Internet in this regard will be overcome in time, those developers currently pursuing or investigating the Internet as a teaching resource should be aware of the potential difficulties. This paper draws on the experiences of the author in conventional and distance university teaching, and in using the Internet as an aid to teaching and learning in engineering and technology, but the issues addressed apply generally to those using the Internet in education.

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A recent television documentary on the Columbia space shuttle disaster was converted to streaming digital video format for educational use by on- and off-campus students in an engineering management study unit examining issues in professional engineering ethics. An evaluation was conducted to assess the effectiveness of this new resource. Use of the video was optional, and about half of the class reported using the video, though usage was 90.0% for off-campus students. Most on-campus students accessed the video on-line, while all off-campus students accessed the video via CD-ROM. Off-campus students rated the educational value of the video higher than on-campus students, and were more likely to indicate that the video helped them understand the issues being studied. Most students were able to view the videos without any technical playback problems.

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This paper describes the development, implementation and evaluation of a multimedia case study on dietetic case management of diabetes. A multimedia web-based program was developed to use the interactive capacity of the web-based environment to enable student dietitians to develop the skills of clinical reasoning and to trigger their learning about the nutritional management of diabetes. A case study of a person with diabetes was developed using a simulated medical history, video clips and sound clips. The students were asked to manage the patient online by responding to the patient's questions, attending a team meeting and outpatient clinic, attending to food service tasks and responding to visual cues. Tutors were able to access the student's responses to submissions online. Evaluation of the program was by questionnaire, which gathered quantitative and qualitative data on the student's perceptions of their experiences in using the web-based case. The students rated the content and the interactive parts of the case highly but experienced technical difficulties and found the case took too much time to complete.

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Transcription of interview data is a common practice in qualitative health research. However, there has been little discussion of the techniques of transcription and the issues inherent in the use of transcription as a strategy for managing qualitative data in nursing publications. The process of transcription may disclose or obscure certain information. Researchers need to question practices of transcription that have been taken for granted and make transparent the processes used to preserve the integrity of data. This paper first examines research reported in nursing and allied health journals employing interviews for data collection and the attention given to the transcription phase. It then deals with issues of concern regarding the transcription of interviews, and offers suggestions for promoting validity.

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This research explores the factors that could influence telemedicine success in two hospitals involved in a rural setting in New Zealand. Findings from the cases revealed that telemedicine utilising the video conferencing technology (TMVC) was adopted based on its cost-benefit to the hospitals. This is necessary but considering the impact of other factors, specifically the compatibility factor could have made the adoption decision more effective earlier on. The administration manager was the primary instigator of TMVC in psychiatry in one of the hospitals, whereas in the other hospital it was the dermatologist. Therefore, this research emphasises the importance of the tight coupling between the roles of both the management and the clinical champions for TMVC to succeed in New Zealand. However, the research results suggest the limited use of the technology in the cases.

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In this habitat mapping study, multi-beam acoustic data are integrated with extensive, precisely geo-referenced video validation data in a GIS environment to classify benthic substrates and biota at a 33km2 site in the near shore waters of Victoria, Australia. Using an automated decision-tree classification method, 5 representative biotic groups were identified in the Cape Nelson survey area using a combination of multi-beam bathymetry, backscatter and derivative products. Rigorous error assessment of derived, classified maps produced high overall accuracies (>85%) for all mapping products. In addition, a discrete multivariate analysis technique (kappa analysis) was used to assess classification accuracy. High-resolution (2.5m cell-size) representation of sea floor morphology and textural characteristics provided by multi-beam bathymetry and backscatter datasets, allowed the interpretation of benthic substrates of the Cape Nelson site and the communities of sessile organisms that populate them. Non-parametric multivariate statistical analysis (ANOSIM) revealed a significant difference in biotic composition between depth strata, and between substrate types. Incorporated with other descriptive measures, these results indicate that depth and substrate are important factors in the distributional ecology of the biotic communities at the Cape Nelson study site. BIOENV analysis indicates that derivatives of both multi-beam datasets (bathymetry and backscatter) are correlated with distribution and density of biotic communities. Results from this study provide new tools for research and management of the coastal zone.

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This thesis presents a research work based on an integrated multi-modal approach for sports video indexing and retrieval. By combining specific features extractable from multiple (audio-visual) modalities, generic structure and specific events can be detected and classified. During browsing and retrieval, users will benefit from the integration of high-level semantic and some descriptive mid-level features such as whistle and close-up view of player(s). The main objective is to contribute to the three major components of sports video indexing systems. The first component is a set of powerful techniques to extract audio-visual features and semantic contents automatically. The main purposes are to reduce manual annotations and to summarize the lengthy contents into a compact, meaningful and more enjoyable presentation. The second component is an expressive and flexible indexing technique that supports gradual index construction. Indexing scheme is essential to determine the methods by which users can access a video database. The third and last component is a query language that can generate dynamic video summaries for smart browsing and support user-oriented retrievals.

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The effective management of our marine ecosystems requires the capability to identify, characterise and predict the distribution of benthic biological communities within the overall seascape architecture. The rapid expansion of seabed mapping studies has seen an increase in the application of automated classification techniques to efficiently map benthic habitats, and the need of techniques to assess confidence of model outputs. We use towed video observations and 11 seafloor complexity variables derived from multibeam echosounder (MBES) bathymetry and backscatter to predict the distribution of 8 dominant benthic biological communities in a 54 km2 site, off the central coast of Victoria, Australia. The same training and evaluation datasets were used to compare the accuracies of a Maximum Likelihood Classifier (MLC) and two new generation decision tree methods, QUEST (Quick Unbiased Efficient Statistical Tree) and CRUISE (Classification Rule with Unbiased Interaction Selection and Estimation), for predicting dominant biological communities. The QUEST classifier produced significantly better results than CRUISE and MLC model runs, with an overall accuracy of 80% (Kappa 0.75). We found that the level of accuracy with the size of training set varies for different algorithms. The QUEST results generally increased in a linear fashion, CRUISE performed well with smaller training data sets, and MLC performed least favourably overall, generating anomalous results with changes to training size. We also demonstrate how predicted habitat maps can provide insights into habitat spatial complexity on the continental shelf. Significant variation between patch-size and habitat types and significant correlations between patch size and depth were also observed.

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We address the problem of virtual-videoconferencing. The proposed solution is effected in terms of a generic framework based on an in-house Virtual Reality system. The framework is composed of a number of distinct components: model acquisition, head tracking, expression analysis, network transmission and avatar reconstruction. The framework promises to provide a unique, cheap, and fast system for avatar construction, transmission and animation. This approach affords a conversion from the traditional video stream approach to the management of an avatar remotely and consequently makes minimal demands on network resources.

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This paper reports on a small trial with 6 pre-service teachers who videoed their own teaching practices. The pre-service teachers used the tool to reflect on practice and to enhance their own understandings of themselves as teachers. The initial footage was used to by the pre-service teachers to gauge quite specific elements of their teaching: for example, were they asking effective questions, or were they responding appropriately to questions children asked and as always, what management strategies seemed to be working? Critical feedback from other students was initially „less than critical‟, but again over time, this also appeared to sharpen as they had more opportunity to use the technology. Initial embarrassment of being on screen was replaced with a professional approach to seeing the video as a tool for providing the opportunity to systematically deconstruct practices and for providing concrete feedback for improvement. Used in conjunction with teaching preparation courses, the videoed segments of teaching practice could be used to highlight exemplars, to show what actually happens in classrooms and to explain certain practices. Cunningham and Benedetto (2002) state “Recent developments in digital video technologies permit teacher candidates to collect, review, and manipulate video to demonstrate their growth as a professional and as a reflective practitioner.” However, in the development of the trial, the issue was raised by the pre-service teachers that they would be interested in keeping the videos as evidence of their teaching competence to be used in applications for teaching positions. In the small trial, ethics permission had not been gained for that to happen, but it is certainly a valid and viable possibility for the future. Currently prospective employers have to rely on paper applications which respond to selection criteria, evidence from pre-service teachers‟ teaching rounds and the subjective impressions of an interview. If students were able to present a 5 minute segment of them teaching, it might count for much more than any other evidence. Video capture of teaching practice would provide potential employers with an indication of a pre-service teacher‟s management strategies, relationships with children and a snapshot of a pre-service teacher‟s instructional practice. The idea of video-capture as a tool for pre-service teachers to illustrate teaching capabilities will be more fully investigated in this paper.

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We explore the use of natural language understanding and image processing to index and query American Football tapes. We present a model for representing spatio-temporal characteristics of multiple objects in dynamic scenes in this domain, and a recognition system which uses the model to recognise American Football plays.

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We propose Video Driven Traffic Modelling (VDTM) for accurate simulation of real-world traffic behaviours with detailed information and low-cost model development and maintenance. Computer vision techniques are employed to estimate traffic parameters. These parameters are used to build and update a traffic system model. The model is simulated using the Paramics traffic simulation platform. Based on the simulation techniques, effects of traffic interventions can be evaluated in order to achieve better decision makings for traffic management authorities. In this paper, traffic parameters such as vehicle types, times of starting trips and corresponding origin-destinations are extracted from a video. A road network is manually defined according to the traffic composition in the video, and individual vehicles associated with extracted properties are modelled and simulated within the defined road network using Paramics. VDTM has widespread potential applications in supporting traffic decision-makings. To demonstrate the effectiveness, we apply it in optimizing a traffic signal control system, which adaptively adjusts green times of signals at an intersection to reduce traffic congestion.

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AIM: To describe the design, development and evaluation of a consumer-centred video, which was underpinned by the Theory of Planned Behaviour and it was created to educate newly transplanted kidney recipients about the importance of medication adherence. BACKGROUND: Kidney transplantation is a treatment whereby medication adherence is critical to ensure long-term kidney graft success. To date, many interventions aimed to improve medication adherence in kidney transplantation have been conducted but consumers remain largely uninvolved in the interventional design. DESIGN: Qualitative sequential design. METHODS: Twenty-two participants who had maintained their kidney transplant for at least 8 months and three participants who had experienced a kidney graft loss due to non-adherence were interviewed from March-May 2014 in Victoria, Australia. These interviews were independently reviewed by two researchers and were used to guide the design of the story plot and to identify storytellers for the video. The first draft of the video was evaluated by a panel of seven experts in the field, one independent educational expert and two consumers using Lynn's content validity questionnaire. The content of the video was regarded as highly relevant and comprehensive, which achieved a score of >3·7 out of a possible 4. RESULTS/FINDINGS: The final 18-minute video comprised 15 sections. Topics included medication management, the factors affecting medication adherence and the absolute necessity of adherence to immunosuppressive medications for graft survival. CONCLUSION: This paper has demonstrated the feasibility of creating a consumer-driven video that supports medication adherence in an engaging way.

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In data science, anomaly detection is the process of identifying the items, events or observations which do not conform to expected patterns in a dataset. As widely acknowledged in the computer vision community and security management, discovering suspicious events is the key issue for abnormal detection in video surveil-lance. The important steps in identifying such events include stream data segmentation and hidden patterns discovery. However, the crucial challenge in stream data segmenta-tion and hidden patterns discovery are the number of coherent segments in surveillance stream and the number of traffic patterns are unknown and hard to specify. Therefore, in this paper we revisit the abnormality detection problem through the lens of Bayesian nonparametric (BNP) and develop a novel usage of BNP methods for this problem. In particular, we employ the Infinite Hidden Markov Model and Bayesian Nonparamet-ric Factor Analysis for stream data segmentation and pattern discovery. In addition, we introduce an interactive system allowing users to inspect and browse suspicious events.

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BACKGROUND: Clinical decision-making is a complex activity that is critical to patient safety. Simulation, augmented by feedback, affords learners the opportunity to learn critical clinical decision-making skills. More detailed feedback following simulation exercises has the potential to further enhance student learning, particularly in relation to developing improved clinical decision-making skills. OBJECTIVE: To investigate the feasibility of head-mounted video camera recordings, to augment feedback, following acute patient deterioration simulations. DESIGN: Pilot study using an observational design. METHODS: Ten final-year nursing students participated in three simulation exercises, each focussed on detection and management of patient deterioration. Two observers collected behavioural data using an adapted version of Gaba's Clinical Simulation Tool, to provide verbal feedback to each participant, following each simulation exercise. Participants wore a head-mounted video camera during the second simulation exercise only. Video recordings were replayed to participants to augment feedback, following the second simulation exercise. Data were collected on: participant performance (observed and perceived); participant perceptions of feedback methods; and head-mounted video camera recording feasibility and capability for detailed audio-visual feedback. RESULTS: Management of patient deterioration improved for six participants (60%). Increased perceptions of confidence (70%) and competence (80%), were reported by the majority of participants. Few participants (20%) agreed that the video recording specifically enhanced their learning. The visual field of the head-mounted video camera was not always synchronised with the participant's field of vision, thus affecting the usefulness of some recordings. CONCLUSION: The usefulness of the video recordings, to enhance verbal feedback to participants on detection and management of simulated patient deterioration, was inconclusive. Modification of the video camera glasses, to improve visual-field synchronisation with participants' actual visual field, is recommended to further explore this technology for enhancing student performance.