Combining User Profiling and Context Modelling to Provide Advanced Adaptivity and Personalization

结合用户分析和上下文建模以提供高级适应性和个性化

• 批准号: 402053-2012
• 负责人: Graf, Sabine
• 金额: $ 1.38万
• 依托单位: Athabasca University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=676995
• 关键词: Combining; User; Profiling; Context; Modelling

Information systems are prevalent in daily life activities, and past research showed that making such systems more adaptive and personalized in terms of enabling them to automatically consider users' current situations, characteristics and preferences has high potential in making these systems more effective and easier to use. My long-term research program focuses on advancing research in user adaptive systems, especially learning systems, with the aim to make such systems more adaptive, intelligent and personalized. Research on adaptive and personalized learning systems has focused on designing and evaluating stand-alone learning systems, mostly used as research prototypes, which consider only one or few aspects of a learner's profile (e.g., cognitive abilities, motivational aspects, etc.). Besides the information in a learner profile, nowadays the context/situation in which a learner learns becomes more and more important due to the recent advances in mobile technologies, which allow learners to learn anywhere and anytime using different devices such as mobile phones and tablets. An open challenge in the research area of adaptive systems is therefore not only to combine multiple aspects of a learner profile but also to combine information from the learner profile with information from the learner's context/situation in order to provide rich and comprehensive adaptivity. Furthermore, another challenge is to design adaptive systems/mechanisms that can be used in large-scale, such as for entire educational institutions. The primary goal of this research program is to advance research in user adaptive systems through designing and evaluating mechanisms and algorithms (implemented as web services of an open-source tool suite) that consider information from learners' profiles as well as context information, and respectively extend existing learning systems with adaptive and intelligent capabilities. The developed tool suite will be highly useful for both researchers who can integrate the web services in their research prototypes and practitioners who will be able to use them in their learning systems, leading to far-reaching benefits for Canadian research and education.

信息系统在日常生活活动中很普遍，过去的研究表明，使此类系统更具适应性和个性化，以使它们能够自动考虑用户的当前情况，特征和偏好具有很高的潜力，可以使这些系统更有效，更易于使用。我的长期研究计划致力于推进用户自适应系统，尤其是学习系统的研究，以使此类系统更加自适应，智能和个性化。 对自适应和个性化学习系统的研究重点是设计和评估独立学习系统，主要用作研究原型，这些系统仅考虑学习者概况的一个或几个方面（例如，认知能力，动机方面等）。除了学习者资料中的信息外，由于移动技术的最新进展，学习者学习的上下文/情况变得越来越重要，这些进步使学习者可以在任何地方和任何时间使用不同的设备（例如移动电话和平板电脑）学习。因此，自适应系统研究领域的一个公开挑战不仅是结合学习者概况的多个方面，而且还将学习者资料中的信息与学习者的环境/情况的信息相结合，以提供丰富而全面的适应性。此外，另一个挑战是设计可用于大规模的自适应系统/机制，例如整个教育机构。 该研究计划的主要目标是通过设计和评估机制和算法（作为开源工具套件的Web服务实施）来推进用户自适应系统的研究，该机制和算法（实现为开源工具套件的Web服务），这些方法考虑了从学习者的资料以及上下文信息中的信息，并分别具有适应性和智能功能的现有学习系统。开发的工具套件将对可以将Web服务整合到其研究原型和从业者中的研究人员都非常有用，这些研究人员将能够在其学习系统中使用它们，从而为加拿大的研究和教育带来深远的好处。