A methodology for eliciting,modelling, and evaluating expert knowledge for an adaptive work-integrated learning system |
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| Authors: | Tobias Ley Barbara Kump Dietrich Albert |
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| Affiliation: | 1. Know-Center Graz, Inffeldgasse 21a, A-8010 Graz, Austria;2. Graz University of Technology, Knowledge Management Institute, Inffeldgasse 21a, A-8010 Graz, Austria;3. University of Graz, Cognitive Science Section, Universitätsplatz 2, A-8010 Graz, Austria;1. JL Audio Inc. Miramar, Florida, 10369 N. Commerce Parkway, Miramar, FL 33025-3962, United States;2. Industrial and Management Systems Engineering Department, College of Engineering and Petroleum, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait;3. University of Nebraska – Lincoln, Nebraska, USA;4. Department of Biological Systems Engineering University of Nebraska, Lincoln 2244 Vine Street # 103, Lincoln, NE 68503, USA;1. University of Graz, Austria;2. Joanneum Research, Health, Graz, Austria;3. Graz University of Technology, Austria;4. University of Osnabrück, Germany;1. Knowledge Technologies Institute, Graz University of Technology, 8010 Graz, Austria;2. KDEG, School of Computer Science and Statistics, Trinity College, Dublin 2, Ireland;3. EmpowerTheUser Ltd., Trinity Technology & Enterprise Campus, The Tower, Dublin 2, Ireland;1. Department of Human Resources and Organization, Vienna University of Applied Sciences of WKW, Waehringer Guertel 97, 1180 Vienna, Austria;2. Knowledge Management Institute, Graz University of Technology, Inffeldgasse 13, 8010 Graz, Austria;3. Department of Applied Cognitive Psychology and Media Psychology, University of Tuebingen, Schleichstraße 4, 72076 Tuebingen, Germany;4. Knowledge Technologies Institute, Graz University of Technology, Inffeldgasse 13, 8010 Graz, Austria;5. Center for Educational Technology, Tallinn University, Narva Mnt 25, 10120 Tallinn, Estonia |
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| Abstract: | We present a methodology for constructing and evaluating models for adaptive informal technology-enhanced workplace learning. It is designed for knowledge-intensive work domains which are not pre structured according to a fixed curriculum. We extend research on Competence-based Knowledge Space Theory which has been mainly applied in educational settings. Our approach employs systematic knowledge elicitation and practically feasible evaluation techniques performed as part of the modelling process for iterative refinement of the models. A case study was performed in the Requirements Engineering domain to apply and test the developed methodology. We discuss lessons learned and several implications for knowledge engineering for adaptive workplace learning. |
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