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首页> 外文期刊>Inteligencia Artificial : Ibero-American Journal of Artificial Intelligence >PhD Dissertation Summary: Contributions to the Design, Implementation and Evaluation of Adaptive Learning Management Systems based on standards, which integrate instructional Design with User Modelling based on Machine Learning
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PhD Dissertation Summary: Contributions to the Design, Implementation and Evaluation of Adaptive Learning Management Systems based on standards, which integrate instructional Design with User Modelling based on Machine Learning

机译：博士学位论文摘要：为基于标准的自适应学习管理系统的设计，实施和评估做出了贡献，该系统将教学设计与基于机器学习的用户建模相集成

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摘要

This paper summarizes the main contributions of the PhD Dissertation with the same title, which focused on adding personalization support in existing learning management systems by considering some artificial intelligence techniques (i.e. user modelling, web usage mining, machine learning, recommendation strategies and human computer interaction). In particular, adaptive navigation support in terms of recommendations was deployed in two learning systems through a web based recommendation service provided by a semantic educational recommender system (SERS) and making an extensive use of standards. Moreover, a user-centred design methodology (i.e. TORMES) was defined to design and formatively evaluate educational oriented recommendations.
机译：本文总结了具有相同标题的博士学位论文的主要贡献，其重点是通过考虑一些人工智能技术（即用户建模，Web使用挖掘，机器学习，推荐策略和人机交互）在现有的学习管理系统中增加个性化支持。 ）。特别地，通过语义教育推荐系统（SERS）提供的基于Web的推荐服务，在建议的自适应导航支持中将其部署在两个学习系统中，并广泛使用标准。此外，定义了以用户为中心的设计方法（即TORMES），以设计和形成评估以教育为导向的建议。

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