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首页> 外文会议>International Conference on Model-Driven Engineering and Software Development >Workplace learning - providing recommendations of experts and learning resources in a context-sensitive and personalized manner: An approach for ontology supported workplace learning
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Workplace learning - providing recommendations of experts and learning resources in a context-sensitive and personalized manner: An approach for ontology supported workplace learning

机译：职场学习-以上下文相关和个性化的方式为专家和学习资源提供建议：一种本体支持工作场所学习的方法

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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.
机译：随着各种形式的变化决定着当今工业界和公共行政部门的工作环境，对工作场所学习的支持变得越来越重要。快速适应新工作，新任务或新团队是一项重大挑战，必须尽快处理。工作场所学习与学校学习有很大的不同，因为它应该严格地与​​业务目标保持一致。在我们的方法中，我们以上下文相关和个性化的方式提供专家建议和学习资源，以支持工作场所学习。我们利用用户的工作环境，考虑他们的学习偏好和近端发展区域，并比较所需的能力和获得的能力，以便发布最合适的建议。我们的方法是欧洲资助的项目Learn PAd的一部分。应用研究方法是设计科学研究。评估是在迭代过程中完成的。从理论上讲，这里介绍的推荐系统是根据用户要求进行评估的，实际上是在Learn PAd应用程序合作伙伴进行的早期评估过程中进行评估的。

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