2,678 research outputs found

    Factors shaping the evolution of electronic documentation systems

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    The main goal is to prepare the space station technical and managerial structure for likely changes in the creation, capture, transfer, and utilization of knowledge. By anticipating advances, the design of Space Station Project (SSP) information systems can be tailored to facilitate a progression of increasingly sophisticated strategies as the space station evolves. Future generations of advanced information systems will use increases in power to deliver environmentally meaningful, contextually targeted, interconnected data (knowledge). The concept of a Knowledge Base Management System is emerging when the problem is focused on how information systems can perform such a conversion of raw data. Such a system would include traditional management functions for large space databases. Added artificial intelligence features might encompass co-existing knowledge representation schemes; effective control structures for deductive, plausible, and inductive reasoning; means for knowledge acquisition, refinement, and validation; explanation facilities; and dynamic human intervention. The major areas covered include: alternative knowledge representation approaches; advanced user interface capabilities; computer-supported cooperative work; the evolution of information system hardware; standardization, compatibility, and connectivity; and organizational impacts of information intensive environments

    Designing a training tool for imaging mental models

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    The training process can be conceptualized as the student acquiring an evolutionary sequence of classification-problem solving mental models. For example a physician learns (1) classification systems for patient symptoms, diagnostic procedures, diseases, and therapeutic interventions and (2) interrelationships among these classifications (e.g., how to use diagnostic procedures to collect data about a patient's symptoms in order to identify the disease so that therapeutic measures can be taken. This project developed functional specifications for a computer-based tool, Mental Link, that allows the evaluative imaging of such mental models. The fundamental design approach underlying this representational medium is traversal of virtual cognition space. Typically intangible cognitive entities and links among them are visible as a three-dimensional web that represents a knowledge structure. The tool has a high degree of flexibility and customizability to allow extension to other types of uses, such a front-end to an intelligent tutoring system, knowledge base, hypermedia system, or semantic network

    AH 2003 : workshop on adaptive hypermedia and adaptive web-based systems

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    AH 2003 : workshop on adaptive hypermedia and adaptive web-based systems

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    Quality of experience aware adaptive hypermedia system

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    The research reported in this thesis proposes, designs and tests a novel Quality of Experience Layer (QoE-layer) for the classic Adaptive Hypermedia Systems (AHS) architecture. Its goal is to improve the end-user perceived Quality of Service in different operational environments suitable for residential users. While the AHS’ main role of delivering personalised content is not altered, its functionality and performance is improved and thus the user satisfaction with the service provided. The QoE Layer takes into account multiple factors that affect Quality of Experience (QoE), such as Web components and network connection. It uses a novel Perceived Performance Model that takes into consideration a variety of performance metrics, in order to learn about the Web user operational environment characteristics, about changes in network connection and the consequences of these changes on the user’s quality of experience. This model also considers the user’s subjective opinion about his/her QoE, increasing its effectiveness and suggests strategies for tailoring Web content in order to improve QoE. The user related information is modelled using a stereotype-based technique that makes use of probability and distribution theory. The QoE-Layer has been assessed through both simulations and qualitative evaluation in the educational area (mainly distance learning), when users interact with the system in a low bit rate operational environment. The simulations have assessed “learning” and “adaptability” behaviour of the proposed layer in different and variable home connections when a learning task is performed. The correctness of Perceived Performance Model (PPM) suggestions, access time of the learning process and quantity of transmitted data were analysed. The results show that the QoE layer significantly improves the performance in terms of the access time of the learning process with a reduction in the quantity of data sent by using image compression and/or elimination. A visual quality assessment confirmed that this image quality reduction does not significantly affect the viewers’ perceived quality that was close to “good” perceptual level. For qualitative evaluation the QoE layer has been deployed on the open-source AHA! system. The goal of this evaluation was to compare the learning outcome, system usability and user satisfaction when AHA! and QoE-ware AHA systems were used. The assessment was performed in terms of learner achievement, learning performance and usability assessment. The results indicate that QoE-aware AHA system did not affect the learning outcome (the students have similar-learning achievements) but the learning performance was improved in terms of study time. Most significantly, QoE-aware AHA provides an important improvement in system usability as indicated by users’ opinion about their satisfaction related to QoE

    Graduate Catalog Center for Computer and Information Sciences

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    Manual and automatic authoring for adaptive hypermedia

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    Adaptive Hypermedia allows online content to be tailored specifically to the needs of the user. This is particularly valuable in educational systems, where a student might benefit from a learning experience which only displays (or recommends) content that they need to know. Authoring for adaptive systems requires content to be divided into stand-alone fragments which must then be labelled with sufficient pedagogical metadata. Authors must also create a pedagogical strategy that selects the appropriate content depending on (amongst other things) the learner's profile. This authoring process is time-consuming and unfamiliar to most non-technical authors. Therefore, to ensure that students (of all ages, ability level and interests) can benefit from Adaptive Educational Hypermedia, authoring tools need to be usable by a range of educators. The overall aim of this thesis is therefore to identify the ways that this authoring process can be simplified. The research in this thesis describes the changes that were made to the My Online Teacher (MOT) tool in order to address issues such as functionality and usability. The thesis also describes usability and functionality changes that were made to the GRAPPLE Authoring Tool (GAT), which was developed as part of a European FP7 project. These two tools (which utilise different authoring paradigms) were then used within a usability evaluation, allowing the research to draw a comparison between the two toolsets. The thesis also describes how educators can reuse their existing non-adaptive (linear) material (such as presentations and Wiki articles) by importing content into an adaptive authoring system

    Introduction to pollution prevention concepts in freshman chemistry through simulations and hypermidia

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    As citizens of the 20th century, a key issue we all are aware of is degradation of the environment. In the interest of teaching the environmental issues to freshmen engineers, this study develops a computer aided learning/teaching (CAL/T) tool. This CAL/T tool consists of Internet based multimedia courseware and intelligent simulations. The courseware assembles the fundamentals of chemistry associated with current environmental issues such as air pollution, stratospheric ozone layer depletion and environmentally sensitive or \u27clean\u27 manufacturing. The courseware targets early and comprehensive understanding of pollution prevention concepts with a focus on environmentally friendly manufacturing. The courseware includes: on-line text, audio-video education tools, video files of laboratory demonstrations, interactive computer software for environmental problem solving and laboratory simulation, on-line self assessment tests, information about faculty, and on-line evaluation tools to obtain students\u27 feed-back to enhance faculty teaching. To enable the widest possible dissemination this courseware can be accessed by academia, industry, and governmental research and educational institutions through the World Wide Web
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