Dissertationen zum Thema „Expert heuristics“
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Smith, Susan N. „Teaching Analysis to Professional Writing Students: Heuristics Based on Expert Theories“. Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/194794.
Der volle Inhalt der QuelleMachac, Mary Kristin. „A Model of Expert Instructional Design Heuristics Incorporating Design Thinking Methods“. Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/102926.
Der volle Inhalt der QuelleDoctor of Philosophy
Instructional design is a system of procedures for developing education and training curricula in a consistent and reliable fashion (Branch and Merrill, 2011; Branch and Kopcha, 2014). It embodies an iterative process for outlining outcomes, selecting teaching and learning strategies, choosing support technologies, identifying media, and measuring performance (Branch and Kopcha, 2014). Instructional designers use models of instructional design and instructional development to communicate tasks and procedures of the instructional design process (Andrews and Goodson, 1980). Over the years, numerous models of instructional design have been developed and adapted to meet the varying needs of instructional designers and developers. There is a consensus that most instructional processes consist of five core elements or stages: analysis, design, development, implementation, and evaluation, which are commonly referred to as ADDIE (Seels and Glasgow, 1990; Branch and Kopcha, 2014). While often considered generic, the ADDIE framework contains a useful set of common criteria, which most designers state as important or necessary as a part of any instructional design process (Pittenger, Janke, and Bumgardner, 2009; York and Ertmer, 2011; 2016). Novice instructional designers have limited experience working with ill-structured problems, and often do not possess the mental models (prior experience) to effectively analyze, manage, and communicate the overall design process of new instructional design projects (Wedman and Tessmer, 1993; Rowland, 1992; Perez and Emery, 1995; Liu, Gibby, Quiros, and Demps, 2002). In their 2016 article of expert instructional design principles applied by experienced designers in practice, York and Ertmer proposed the following questions for future research, "(a) Can we teach principles to novice instructional designers? (b) What methods should we use to provide this information?" (York and Ertmer, 2016, p. 189). This research further explored these questions and offers a new model of expert instructional design heuristics incorporating design thinking methods. For this study, heuristics were defined as generalized stages of an instructional designer's process and design thinking was defined as a human-centered design process for solving complex problems. The purpose of this study was to identify design thinking methods that aligned with heuristics of expert instructional design practitioners, and to design and develop a new model of heuristics and design thinking methods, which could assist novice instructional designers as they enter the instructional design field. The literature outlines challenges reported among novice instructional designers throughout the instructional design process, which includes their ability to solve ill-structured problems; conduct thorough analyses; collaborate in teams; negotiate priorities; generate a variety of ideas for solutions; overcome resource, budget and time constraints; communicate and manage projects with stakeholders; and prototype, iterate and pilot new design solutions (Rowland, 1992; Hoard, Stefaniak, Baaki, and Draper, 2019; Roytek, 2010; Liu, Gibby, Quiros, and Demps, 2002; Chang and Kuwata, 2020; Tracey and Boling, 2014; Perez and Emery, 1995; Williams van Rooij, 1993). The model offers novice instructional designers specific methods and combinations of methods to use for every stage of the instructional design process. As instructional designers implement design thinking methods within the context of their daily situations, they should become more comfortable and begin to adapt the methods to meet their individual needs for each stage of their process.
Lim, Hedy. „Discovering expert instructional designers' heuristics for creating scenario-based workplace instruction“. Thesis, Capella University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10103202.
Der volle Inhalt der QuelleScenario-based instructional design is ideal for workplace training, as it promotes practical and performance-based learning through the use of realistic situations. The research problem is a need for well-defined heuristics, what Gibbons (2014) called operational principles and what York and Ertmer (2011) called rules of thumb, being basic guidelines that promote and characterize expertise, in the area of scenario-based online instruction. The purpose of this Delphi study was to gather expert feedback on ideas in the form of a set of best practices for scenario-based online instructional design for the workplace. The research questions break down the topic into four basic areas: identifying a learning problem, discovering scaffolds or learning resources, maintaining project momentum, and essential concerns for instructional development. Experts in workplace scenario-based instructional design, with particular emphasis on professionals with an online or academic presence, were recruited as subjects. A detailed review of the literature gathered forty-two original statements that were organized into five categories. Per Delphi methodology, the study was conducted as a three round iterative online instrument. Subjects were asked to rate each statement and to provide additional statements to clarify and expand on their best practices based on their experience. Twenty-nine subjects completed all three rounds of the research study. While the statements express a wide variety of best practices for the field, recommendations for further research generally focused on thoughtful consideration of the learner, the instructional development team, and a focus on the integrity or realistic authenticity of the learning scenario, throughout the instructional experience.
Cheam, T. S. „Expert systems and heuristics in rota design : With reference to hospital staffing“. Thesis, University of Strathclyde, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381513.
Der volle Inhalt der QuelleStuckart, Daniel W. „Secondary students using expert heuristics in the analysis of digitalized historical documents“. [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000232.
Der volle Inhalt der QuelleSzarek, Harmony Kristin. „Subjectivity in Expert Decision Making: Risk Assessment, Acceptability, and Cognitive Heuristics Affecting Endangered Species Act Listing Judgments for the Greater Yellowstone Ecosystem Grizzly Bear“. The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1430998102.
Der volle Inhalt der QuelleAhmad, Abdul-Rahim. „An Intelligent Expert System for Decision Analysis and Support in Multi-Attribute Layout Optimization“. Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/785.
Der volle Inhalt der QuelleInadequate information availability, combinatorial complexity, subjective and uncertain preferences, and cognitive biases of decision makers often hamper the procurement of a superior layout configuration. Consequently, it is desirable to develop an intelligent decision support system for layout design that could deal with such challenging issues by providing efficient and effective means of generating, analyzing, enumerating, ranking, and manipulating superior alternative layouts.
We present a research framework and a functional prototype for an interactive Intelligent System for Decision Support and Expert Analysis in Multi-Attribute Layout Optimization (IDEAL) based on soft computing tools. A fundamental issue in layout design is efficient production of superior alternatives through the incorporation of subjective and uncertain design preferences. Consequently, we have developed an efficient and Intelligent Layout Design Generator (ILG) using a generic two-dimensional bin-packing formulation that utilizes multiple preference weights furnished by a fuzzy Preference Inferencing Agent (PIA). The sub-cognitive, intuitive, multi-facet, and dynamic nature of design preferences indicates that an automated Preference Discovery Agent (PDA) could be an important component of such a system. A user-friendly, interactive, and effective User Interface is deemed critical for the success of the system. The effectiveness of the proposed solution paradigm and the implemented prototype is demonstrated through examples and cases.
This research framework and prototype contribute to the field of layout decision analysis and design by enabling explicit representation of experts? knowledge, formal modeling of fuzzy user preferences, and swift generation and manipulation of superior layout alternatives. Such efforts are expected to afford efficient procurement of superior outcomes and to facilitate cognitive, ergonomic, and economic efficiency of layout designers as well as future research in related areas.
Applications of this research are broad ranging including facilities layout design, VLSI circuit layout design, newspaper layout design, cutting and packing, adaptive user interfaces, dynamic memory allocation, multi-processor scheduling, metacomputing, etc.
Sandström, Kristian. „A study of the iOS : An exploratory article on how large of a role the iOS has played in the success of the iPhone“. Thesis, Umeå universitet, Institutionen för informatik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-45210.
Der volle Inhalt der QuelleLewis, John N. „Expert systems development utilizing heuristic methods“. Thesis, Monterey, California. Naval Postgraduate School, 1996. http://hdl.handle.net/10945/8376.
Der volle Inhalt der QuelleThis thesis analyzes the diagnostic domain and isolates the heuristics employed by experts to arrive at diagnostic solutions. These heuristic methods are then generalized in order to arrive at a series of heuristic rules that can be applied to a wide range of diagnostic processes independent of there respective domain. To test the validity of the generalized heuristics, a prototype expert system was created targeting the heuristics employed by avionics repair technicians in repair of the APS- 1 15 radar system on the P-3C Orion.
Park, SangHee. „Inoculation Information Against Contagious Disease Misperception about Flu with Heuristic vs. Systematic Information and Expert vs. Non-Expert Source“. Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1446827113.
Der volle Inhalt der QuelleKoort, Hannes. „Room for More of Us? : Important Design Features for Informed Decision-Making in BIM-enabled Facility Management“. Thesis, Uppsala universitet, Människa-datorinteraktion, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447217.
Der volle Inhalt der QuelleGreer, Kieran R. C. „A neural network based search heuristic and its application to computer chess“. Thesis, University of Ulster, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243736.
Der volle Inhalt der QuelleKrishnaswamy, Vijay. „Heuristic network generator : an expert systems approach for selection of alternative routes during incident conditions /“. Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-05022009-040559/.
Der volle Inhalt der QuelleSilvis, Isabel Mariann. „Heuristic evaluation of the information architecture of academic library websites“. Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/63004.
Der volle Inhalt der QuelleDissertation (MIS)--University of Pretoria, 2017.
Information Science
MIS
Unrestricted
Dixon, Walter L. „The Geometric Mean as a Generator of Truth-Value in Heuristic Expert Systems: An Improvement over the Fuzzy Weighted Arithmetic Mean“. NSUWorks, 2002. http://nsuworks.nova.edu/gscis_etd/489.
Der volle Inhalt der QuelleMasini, Douglas Eugene. „The Accidental Experts: A Demonstration of the Existence, Utility, and Emergence of Implicitly Learned Tacit Knowledge in Assistive-Augmentative Technology Users“. [Johnson City, Tenn. : East Tennessee State University], 2001. http://etd-submit.etsu.edu/etd/theses/available/etd-1108101-170203/unrestricted/masinid120601.pdf.
Der volle Inhalt der QuelleHerrera, Luis Enrique. „Integration of qualitative and quantitative data for decision aiding in production planning“. Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/26614.
Der volle Inhalt der QuelleCommittee Chair: Govindaraj, T.; Committee Member: Jayaraman, Sundaresan; Committee Member: McGinnis, Leon; Committee Member: Tsui, Kwok; Committee Member: Zhou, Chen. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Ong, Seow Meng. „A Mission Planning Expert System with Three-Dimensional Path Optimization for the NPS Model 2 Autonomous Underwater Vehicle“. Thesis, Monterey, California. Naval Postgraduate School, 1990. http://hdl.handle.net/10945/23457.
Der volle Inhalt der QuelleUnmanned vehicle technology has matured significantly over the last two decades. This is evidenced by its widespread use in industrial and military applications ranging from deep-ocean exploration to anti-submarine warefare. Indeed, the feasiblity of short-range, special-purpose vehicles (whether aunonomous or remotely operated) is no longer in question. The research efforts have now begun to shift their focus on development of reliable, longer-range, high-endurance and fully autonomous systems. One of the major underlying technologies required to realize this goal is Artificial Intelligence (AI). The latter offers great potential to endow vehicles with the intelligence needed for full autonomy and extended range capability; this involves the increased application of AI technologies to support mission planning and execution, navigation and contingency planning. This thesis addresses two issues associated with the above goal for Autonomous Underwater Vehicles (AUV's). Firstly, a new approach is proposed for path planning in underwater environments that is capable of dealing with uncharted obstacles and which requires significantly less planning time and computer memory. Secondly, it explores the use of expert system technology in the planning of AUV missions.
Galinho, Thierry. „Algorithme heuristique de placement pour l'ordonnancement : étude comparative et recherche d'expertise sur les stratégies de contrôle“. Rouen, 1994. http://www.theses.fr/1994ROUES040.
Der volle Inhalt der QuelleHathout, Michel. „Évaluation probabiliste de la fiabilité structurelle des digues fluviales à partir du jugement d’expert“. Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC1005/document.
Der volle Inhalt der QuelleRiver levees as protective measures against flooding are a matter of utmost strategic importance for the security of people and property. A better knowledge of their structural reliability is a major challenge for engineers and managers of these structures in order to meet current regulations and potentially develop them. In France, the regulations relating to the safety of hydraulic structures require the realization of hazard studies, in which probabilistic safety evaluation procedures take on a more and more important role. Due to the complexity of their failure mechanisms and the lack of a specific condition of limit-state for some failure mechanisms such as internal erosion and overtopping or scour, calculating a probability of failure by quantitative approaches remains impossible to this day. Levees induce specific problems in evaluating their structural reliability where expert intervention is necessary and pivotal. They must interpret the available data and take into account the uncertainties in their analysis, in order to evaluate the structural reliability of levees in terms of probability of failure. The aim of the thesis is to develop and elaborate a complete approach for supporting probabilistic evaluation of structural reliability of levees based on expert judgments. It is designed as a scientifically justified approach to collect and use uncertain but quantitative expert evaluations of structural reliability, in the form of a failure probability or a safety factor, accompanied by a margin of probabilistic uncertainty. To meet this goal, two approaches have been developed, "EiCAD" and "EiDA" composed of the following phases (in different orders):- individual elicitation phase of expert judgment (Ei) allowing the collection of probabilistic expert evaluations by a constricted questionnaire ;- calibration phase (C) to weigh the probabilistic expert evaluations elicited depending on the degrees of precision and accuracy that can be provided;- aggregation phase (A) during which the probabilistic expert evaluations elicited by several experts are taken into account ;- debiasing phase (D) during which biases that may affect the probabilistic expert evaluations are removed. The developed approaches have been implemented for the cases of Drac levees, located in the Grenoble agglomeration, to assess the probability of failure, by expert judgment, with regard to sliding and internal erosion mechanism of failure
Andersson, Åsa, und Abdiqafar Ismail. „Ruttoptimering : En jämförelse mellan mänsklig erfarenhet och optimeringsprogram“. Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-30846.
Der volle Inhalt der QuelleRuttoptimering avser att optimera rutter för fordon medminsta möjliga resursåtgång. När fordonet ska besöka ettflertal givna platser är ett ruttoptimeringsverktyg förmånligtatt använda. Denna studie syftar till att jämföra den mänskligaerfarenheten mot ett ruttoptimeringsprogram. Detta har gjortsgenom att jämföra hur en lastbilschaufför har kört en rutt mothur ett GIS-verktyg räknat fram den optimerade färdvägen avsamma rutt. Sedan jämfördes om det fanns skillnader ochvilken av rutterna som var kortast, räknat i kilometer. Datahar hämtats från ett stort fraktföretag. För att nå syftet har 10rutter undersökts i programmet ArcGIS Online som använderalgoritmen tabusökning. En kommersiell beräkningsmetodhar använts då det bygger på heuristiska metoder som ärbetydligt snabbare än exakta metoder. Expertsystem byggerpå erfarenhet som experter har samlat på sig genom åren, deger rekommendationer baserade på sannolikhetsresonemangistället för definitiva svar, dessa system sätts ofta in i GIS för att förbättra resultat och beräkningstider i systemen. Studienresulterade i en förbättring på 60 % av rutterna. Målet meddenna undersökning var att visa om ett optimeringsprogramhittar en bättre rutt än experten. För att verifiera resultaten istudien gjordes en hypotesprövning vilket gav ensignifikansnivå på över 85%. Chauffören har kört dessa rutteri flera år vilket gör att rutterna är optimerade i en viss månredan innan studien gjordes. Det har inverkat på resultatetsom gett ett lågt medelvärde av den procentuella skillnaden,jämfört med tidigare undersökningar. En annan faktor kanvara att koordinaterna i datan från företaget inte helt stämdemed den verkliga placeringen av stoppen på rutterna.
Nooriafshar, Mehryar. „A heuristic approach to improving the design of nurse training schedules, using simulation and expert system ideas with particular reference to the transition period“. Thesis, University of Manchester, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261995.
Der volle Inhalt der QuelleWahbi, Mohamed. „Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems“. Phd thesis, Université Montpellier II - Sciences et Techniques du Languedoc, 2012. http://tel.archives-ouvertes.fr/tel-00718537.
Der volle Inhalt der QuelleGlossenger, John Kenneth. „The role of planning in two artificial intelligence architectures“. Instructions for remote access. Click here to access this electronic resource. Access available to Kutztown University faculty, staff, and students only, 1991. http://www.kutztown.edu/library/services/remote_access.asp.
Der volle Inhalt der QuelleArthur, J. G. „The development of 'for experts systems' as heuristic reasoning platforms in risk decision support : a consideration of tool design, technology transfer and compatability with Bayesian decision analysis“. Thesis, University of Warwick, 2007. http://wrap.warwick.ac.uk/1116/.
Der volle Inhalt der QuelleMorice, Vincent. „Saga : un generateur temporel de plans pour la recherche diagnostique“. Paris 6, 1988. http://www.theses.fr/1988PA066426.
Der volle Inhalt der QuelleBrassard, Serge. „Méthodologie et modélisation floues des connaissances dans l'activité de conception en électrotechnique : application à la réalisation d'un système expert d'aide à la conception de l'appareillage électrique“. Grenoble INPG, 1989. http://www.theses.fr/1989INPG0093.
Der volle Inhalt der QuelleGarcia-Mardambek, Nouar. „Etude d'une stratégie de maintenance adaptative pour des systèmes logiques“. Grenoble INPG, 1991. http://www.theses.fr/1991INPG0076.
Der volle Inhalt der Quelle„Experts Recommender System Using Technical and Social Heuristics“. Thesis, 2013. http://hdl.handle.net/10388/ETD-2013-07-1116.
Der volle Inhalt der QuelleALJohani, Maha. „Heuristic Evaluation of Dalhousie Repository Interface“. 2013. http://hdl.handle.net/10222/31498.
Der volle Inhalt der QuelleChung, Clare K. „Expert systems for personal investment management : a simplified objective approach using heuristic knowledge“. 1990. http://hdl.handle.net/1993/17014.
Der volle Inhalt der QuelleHU, GUANG-GUAN, und 胡光權. „An expert system building tool with meta ability part II:learning control strategy with heuristic information“. Thesis, 1989. http://ndltd.ncl.edu.tw/handle/65258852591274403520.
Der volle Inhalt der QuellePietrocatelli, Simon. „Analyse bayésienne et élicitation d’opinions d’experts en analyse de risques et particulièrement dans le cas de l’amiante chrysotile“. Thèse, 2008. http://hdl.handle.net/1866/3345.
Der volle Inhalt der QuelleCharacterizing the carcinogenic potency of chrysotile asbestos fibres relies a great deal on subjective and uncertain judgements by experts and analysts, given heterogeneous and equivocal results of important epidemiological and toxicological studies. The probabilistic Bayesian approach in risk assessments quantifies these subjective judgements and their uncertainties, along with their impact on risk estimations, but it is rarely used in the public health context. This report examines how the Bayesian approach could have been applied to a recent elicitation of experts’ opinions to estimate the toxicity of chrysotile asbestos, the degree of convergence and divergence, as well as the uncertainty levels of these experts. The experts’ estimations on the relative toxicity of chrysotile and amphibole asbestos were similar in the case of mesothelioma. However, in the case of lung cancer, the heterogeneity of the studies resulted in diverging and incompatible probabilistic evaluations. The experts’ judgements seemed influenced by heuristic biases, particularly the affect and anchor heuristics associated with a controversial topic and to heterogeneous data. If the elicitation process had been prepared following a rigorous methodology, these heuristics and biases could have been mitigated.