Workplace Learning - Providing Recommendations of Experts and Learning Resources in a Context-sensitive and Personalized Manner - An Approach for Ontology Supported Workplace Learning

Sandro Emmenegger, Knut Hinkelmann, Emanuele Laurenzi, Barbara Thönssen, Hans Friedrich Witschel, Congyu Zhang

Abstract

Support of workplace learning is increasingly important as change in every form determines today's working world in industry and public administrations alike. Adapt quickly to a new job, a new task or a new team is a major challenge that must be dealt with ever faster. Workplace learning differs significantly from school learning as it should be strictly aligned to business goals. In our approach we support workplace learning by providing recommendations of experts and learning resources in a context-sensitive and personalized manner. We utilize users' workplace environment, we consider their learning preferences and zone of proximal development, and compare required and acquired competencies in order to issue the best suited recommendations. Our approach is part of the European funded project Learn PAd. Applied research method is Design Science Research. Evaluation is done in an iterative process. The recommender system introduced here is evaluated theoretically based on user requirements and practically in an early evaluation process conducted by the Learn PAd application partner.

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Paper Citation


in Harvard Style

Emmenegger S., Hinkelmann K., Laurenzi E., Thönssen B., Witschel H. and Zhang C. (2016). Workplace Learning - Providing Recommendations of Experts and Learning Resources in a Context-sensitive and Personalized Manner - An Approach for Ontology Supported Workplace Learning . In Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: LMCO, (MODELSWARD 2016) ISBN 978-989-758-168-7, pages 753-763


in Bibtex Style

@conference{lmco16,
author={Sandro Emmenegger and Knut Hinkelmann and Emanuele Laurenzi and Barbara Thönssen and Hans Friedrich Witschel and Congyu Zhang},
title={Workplace Learning - Providing Recommendations of Experts and Learning Resources in a Context-sensitive and Personalized Manner - An Approach for Ontology Supported Workplace Learning},
booktitle={Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: LMCO, (MODELSWARD 2016)},
year={2016},
pages={753-763},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={978-989-758-168-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: LMCO, (MODELSWARD 2016)
TI - Workplace Learning - Providing Recommendations of Experts and Learning Resources in a Context-sensitive and Personalized Manner - An Approach for Ontology Supported Workplace Learning
SN - 978-989-758-168-7
AU - Emmenegger S.
AU - Hinkelmann K.
AU - Laurenzi E.
AU - Thönssen B.
AU - Witschel H.
AU - Zhang C.
PY - 2016
SP - 753
EP - 763
DO -