%0 Journal Article %1 Ley_2010 %A Ley, Tobias %A Kump, Barbara %A Albert, Dietrich %D 2010 %J International Journal of Human-Computer Studies %K APOSDLE competency knowledge_space_theory knowledge_work learning myown sota_umap work_integrated_learning workplace_learning %P In Press %R DOI: 10.1016/j.ijhcs.2009.12.001 %T A methodology for eliciting, modelling, and evaluating expert knowledge for an adaptive work-integrated learning system %U http://www.sciencedirect.com/science/article/B6WGR-4XY4GS8-1/2/92813864b46b91b4f2aad8322442b96e %X 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.

@article{Ley_2010, 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.}, added-at = {2010-01-17T17:55:54.000+0100}, author = {Ley, Tobias and Kump, Barbara and Albert, Dietrich}, biburl = {https://www.bibsonomy.org/bibtex/27e8164cf88fc3d2752a80bcb953a7971/tobold}, description = {ScienceDirect - International Journal of Human-Computer Studies : A methodology for eliciting, modelling, and evaluating expert knowledge for an adaptive work-integrated learning system}, doi = {DOI: 10.1016/j.ijhcs.2009.12.001}, interhash = {e9c97c47ffbd5808ad78eda959338d35}, intrahash = {7e8164cf88fc3d2752a80bcb953a7971}, issn = {1071-5819}, journal = {International Journal of Human-Computer Studies}, keywords = {APOSDLE competency knowledge_space_theory knowledge_work learning myown sota_umap work_integrated_learning workplace_learning}, pages = {In Press}, timestamp = {2010-01-17T17:55:54.000+0100}, title = {A methodology for eliciting, modelling, and evaluating expert knowledge for an adaptive work-integrated learning system}, url = {http://www.sciencedirect.com/science/article/B6WGR-4XY4GS8-1/2/92813864b46b91b4f2aad8322442b96e}, year = 2010 }