An Ontology-Based and Case-Based Reasoning Supported Workplace Learning Approach
| Autor: | Sandro Emmenegger, Hans Friedrich Witschel, Emanuele Laurenzi, Andreas Martin, Barbara Thönssen, Knut Hinkelmann, Congyu Zhang |
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| Rok vydání: | 2017 |
| Předmět: |
Knowledge management
business.industry Computer science 05 social sciences 050301 education 02 engineering and technology Personalized learning Recommender system Ontology (information science) User requirements document Task (project management) 0202 electrical engineering electronic engineering information engineering Upper ontology 020201 artificial intelligence & image processing Case-based reasoning Design science research business 0503 education |
| Zdroj: | Communications in Computer and Information Science ISBN: 9783319663012 MODELSWARD (Revised Selected Papers) |
| DOI: | 10.1007/978-3-319-66302-9_17 |
| Popis: | The support of workplace learning is increasingly relevant as the change in every form determines today’s working world in the industry and public administrations alike. Adapting quickly to a new job, a new task or a new team is a significant challenge that must be dealt with ever faster. Workplace learning differs significantly from school learning as it is aligned with business goals. Our approach supports workplace learning by suggesting historical cases and providing recommendations of experts and learning resources. We utilize users’ workplace environment, we consider their learning preferences, provide them with useful prior lessons, and compare required and acquired competencies to issue the best-suited recommendations. Our research work follows a Design Science Research strategy and is part of the European funded project Learn PAd. The recommender system introduced here is evaluated in an iterative manner, first by comparing it to previously elicited user requirements and then through practical application in a test process conducted by the project application partner. |
| Databáze: | OpenAIRE |
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