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User Data Management and Usage Model Acquisition in an Adaptive Educational Collaborative Environment

机译:自适应教育协作环境中的用户数据管理和使用模型采集

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In this paper we describe the basis of aLF (active learning framework) an environment for web-based distance learning on the web and how it can be extended with a user modelling subsystem aimed at providing an adaptive response which can meet users' knowledge state, preferences and goals. we concentrate on user data collection and its further processing to create a user model. Furthermore, as regards the user modelling task, we claim that a combination of different machine learning algorithms should perform better than individual methods. To support our approach we will provide some preliminary experimental results.
机译:在本文中,我们描述了ALF(主动学习框架)的基础,在Web上的基于Web的远程学习环境以及如何使用旨在提供可以满足用户知识状态的自适应响应的用户建模子系统扩展,偏好和目标。我们专注于用户数据收集及其进一步处理以创建用户模型。此外,关于用户建模任务,我们声称不同机器学习算法的组合应该比单独的方法更好地执行。为了支持我们的方法,我们将提供一些初步的实验结果。

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