%0 Conference Paper %1 lindstaedt2009getting %A Lindstaedt, Stefanie N. %A Beham, Günter %A Kump, Barbara %A Ley, Tobias %B Learning in the Synergy of Multiple Disciplines, Proceedings of the EC-TEL 2009 %C Berlin/Heidelberg %D 2009 %E Cress, U. %E Dimitrova, V. %E Specht, M. %I Springer %K context ectel2009 fullPapers metadata service user-model user_modelling %T Getting to Know Your User - Unobtrusive User Model Maintenance within Work-Integrated Learning Environments %V 5794 %X Work-integrated Learning (WIL) poses unique challenges for user model design: on the one hand users' knowledge levels need to be determined based on their work activities - testing is not a viable option; on the other hand users do interact with a multitude of different work applications - there is no central learning system. This contribution introduces a User Model and corresponding services (based on SOA) geared to enable unobtrusive adaptability within WIL environments. Our hybrid User Model Services interpret usage data in the context of enterprise models (semantic approaches) and utilize heuristics (scruffy approaches) in order to determine knowledge levels, identify subject matter experts, etc. We give an overview of different types of User Model Ser-vices (logging, production, inference, control) and provide a reference imple-mentation within the APOSDLE project.Work-integrated Learning (WIL) poses unique challenges for user model design: on the one hand users' knowledge levels need to be determined based on their work activities - testing is not a viable option; on the other hand users do interact with a multitude of different work applications - there is no central learning system. This contribution introduces a User Model and corresponding services (based on SOA) geared to enable unobtrusive adaptability within WIL environments. Our hybrid User Model Services interpret usage data in the context of enterprise models (semantic approaches) and utilize heuristics (scruffy approaches) in order to determine knowledge levels, identify subject matter experts, etc. We give an overview of different types of User Model Ser-vices (logging, production, inference, control) and provide a reference imple-mentation within the APOSDLE project.

@inproceedings{lindstaedt2009getting, abstract = {Work-integrated Learning (WIL) poses unique challenges for user model design: on the one hand users' knowledge levels need to be determined based on their work activities - testing is not a viable option; on the other hand users do interact with a multitude of different work applications - there is no central learning system. This contribution introduces a User Model and corresponding services (based on SOA) geared to enable unobtrusive adaptability within WIL environments. Our hybrid User Model Services interpret usage data in the context of enterprise models (semantic approaches) and utilize heuristics (scruffy approaches) in order to determine knowledge levels, identify subject matter experts, etc. We give an overview of different types of User Model Ser-vices (logging, production, inference, control) and provide a reference imple-mentation within the APOSDLE project.Work-integrated Learning (WIL) poses unique challenges for user model design: on the one hand users' knowledge levels need to be determined based on their work activities - testing is not a viable option; on the other hand users do interact with a multitude of different work applications - there is no central learning system. This contribution introduces a User Model and corresponding services (based on SOA) geared to enable unobtrusive adaptability within WIL environments. Our hybrid User Model Services interpret usage data in the context of enterprise models (semantic approaches) and utilize heuristics (scruffy approaches) in order to determine knowledge levels, identify subject matter experts, etc. We give an overview of different types of User Model Ser-vices (logging, production, inference, control) and provide a reference imple-mentation within the APOSDLE project.}, added-at = {2009-09-25T10:36:23.000+0200}, address = {Berlin/Heidelberg}, author = {Lindstaedt, Stefanie N. and Beham, Günter and Kump, Barbara and Ley, Tobias}, biburl = {https://www.bibsonomy.org/bibtex/2ee2b37651cdda51e9e1b688c06acbf93/ectel09}, booktitle = {Learning in the Synergy of Multiple Disciplines, Proceedings of the EC-TEL 2009}, editor = {Cress, U. and Dimitrova, V. and Specht, M.}, interhash = {2aa1e6fe01630dd472dac0b55e533a64}, intrahash = {ee2b37651cdda51e9e1b688c06acbf93}, keywords = {context ectel2009 fullPapers metadata service user-model user_modelling}, month = {October}, paperid = {1084}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2009-09-25T10:36:26.000+0200}, title = {Getting to Know Your User - Unobtrusive User Model Maintenance within Work-Integrated Learning Environments}, topic = {Full Papers}, volume = 5794, year = 2009 }