Spelling suggestions: "subject:"aknowledge mass"" "subject:"aknowledge mas""
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Automatic Construction of Knowledge Source Map from Thesis DatabaseI, HSIU 19 July 2004 (has links)
Expert knowledge is an important issue in knowledge management, so how to understand who owned the knowledge that you need and how to touch the experts are important issue. The research is to structure Knowledge Source Map in academic circles by the automatic system and help users to understand the source and the structure of knowledge by querying with this system. Moreover, by this system, user won¡¦t misunderstand experts¡¦ knowledge, and further, they will hold the knowledge and make use of the knowledge. Otherwise, the system also structure communication networks among people by the analysis of social networks to provide a channel for users touching the experts. Therefore, the Knowledge Source Map system is divided into two parts, one is confirmation of the experts, and another is to search for the experts. The former includes analysis in experts, university and domain, and the latter includes family tree analysis, ego-centered networks and shortest path analysis.
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Computational Approaches to Construct and Assess Knowledge Maps for Student LearningWang, Bao 19 July 2022 (has links)
No description available.
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A Knowledge Map-Centric Feedback-Based Approach to Information Modeling and Academic AssessmentCastles, Ricky Thomas 24 February 2010 (has links)
The structure of education has changed dramatically in the last few decades. Despite major changes in how students are learning, there has not been as dramatic of a shift in how student learning is assessed. Standard letter grades are still the paradigm for evaluating a student's mastery of course content and the grade point average is still one of the largest determining factors in judging a graduate's academic aptitude.
This research presents a modern approach to modeling knowledge and evaluating students. Based upon the model of a closed-loop feedback controller it considers education as a system with an instructor determining the set of knowledge he or she wishes to impart to students, the instruction method as a transfer function, and evaluation methods serving as sensors to provide feedback determining the subset of the information students have learned. This method uses comprehensive concept maps to depict all of the concepts and relationships an educator intends to cover and student maps to depict the subset of knowledge that students have mastered. Concept inventories are used as an assessment tool to determine, at the conceptual level, what students have learned. Each question in the concept inventory is coupled with one or more components of a comprehensive concept map and based upon the answers students give to concept inventory questions those components may or may not appear in a student's knowledge map. The level of knowledge a student demonstrates of each concept and relationship is presented in his or her student map using a color scheme tied to the levels of learning in Bloom's taxonomy.
Topological principles are used to establish metrics to quantify the distance between two students' knowledge maps and the distance between a student's knowledge map and the corresponding comprehensive concept map. A method is also developed for forming aggregate maps representative of the knowledge of a group of students. Aggregate maps can be formed for entire classes of students or based upon various demographics including race and gender.
XML schemas have been used throughout this research to encapsulate the information in both comprehensive maps and student maps and to store correlations between concept inventory questions and corresponding comprehensive map components. Three software packages have been developed to store concept inventories into an XML Schema, to process student responses to concept inventory questions and generate student maps as a result, and to generate aggregate maps. The methods presented herein have been applied to two learning units that are part of two freshman engineering courses at Virginia Tech. Example student maps and aggregate maps are included for these course units. / Ph. D.
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The evaluation of the knowledge management process in the ferro-metallurgical industry in South Africa / Peter Lupton.Lupton, Peter January 2009 (has links)
The aim of this study was to conduct a thorough theoretical study on the relevant aspects involved in knowledge management and organizational learning, and thence assess the level of organisational learning within the ferrometallurgical industry. From the outcomes of the assessment, recommendations to improve the state of affairs were to be made.
Knowledge can be defined as actionable information. The creation, acquisition, sharing and leveraging of knowledge in today's industries are critical. Knowledge is now termed the fourth productive resource, and some authors claim, with some justification, that the widespread knowledge within a company is the only source of sustainable competitive advantage. With this in mind, it is obvious that companies need to nurture knowledge creation and effective utilisation thereof in order to meet organisational goals. Knowledge can be codified if it is explicit, but needs to be transferred using personalisation if it is tacit. Implicitness of tacit knowledge further confounds the issue. Knowledge management practices underpin the process of organisational learning. The level of organisational learning within the ferrometallurgical industry in South Africa was assessed, using a survey questionnaire obtained from the Harvard Business School. The results show that the industry lags behind the medians in the ten constructs measured, and much work will be required to significantly improve the situation. Key areas of concern are in the areas of
psychological safety, time for reflection, education and training, and collection of information. As a consequence, a practical strategy for improving the state of knowledge management and organisational learning in the ferrometallurgical industry was developed. / Thesis (M.B.A.)--North-West University, Vaal Triangle Campus, 2010.
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The evaluation of the knowledge management process in the ferro-metallurgical industry in South Africa / Peter Lupton.Lupton, Peter January 2009 (has links)
The aim of this study was to conduct a thorough theoretical study on the relevant aspects involved in knowledge management and organizational learning, and thence assess the level of organisational learning within the ferrometallurgical industry. From the outcomes of the assessment, recommendations to improve the state of affairs were to be made.
Knowledge can be defined as actionable information. The creation, acquisition, sharing and leveraging of knowledge in today's industries are critical. Knowledge is now termed the fourth productive resource, and some authors claim, with some justification, that the widespread knowledge within a company is the only source of sustainable competitive advantage. With this in mind, it is obvious that companies need to nurture knowledge creation and effective utilisation thereof in order to meet organisational goals. Knowledge can be codified if it is explicit, but needs to be transferred using personalisation if it is tacit. Implicitness of tacit knowledge further confounds the issue. Knowledge management practices underpin the process of organisational learning. The level of organisational learning within the ferrometallurgical industry in South Africa was assessed, using a survey questionnaire obtained from the Harvard Business School. The results show that the industry lags behind the medians in the ten constructs measured, and much work will be required to significantly improve the situation. Key areas of concern are in the areas of
psychological safety, time for reflection, education and training, and collection of information. As a consequence, a practical strategy for improving the state of knowledge management and organisational learning in the ferrometallurgical industry was developed. / Thesis (M.B.A.)--North-West University, Vaal Triangle Campus, 2010.
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