用本体论构建学生画像，实现高等教育个性化学习。
An Ontology-Based Framework for Student Profiling and Content Personalization in Higher Education
- 基于本体论设计学生学习行为与偏好的数据模型。
- 提出可自动记录学习过程的计算架构，支持动态内容推荐。
- 适合远程教育平台开发者与课程设计者参考。
数字信息与通信技术的普及，以及远程或半远程教育课程在虚拟学习环境中的广泛应用，促使教学模式向以学生为中心转变。本研究通过文献综述方法，探讨了自适应学习和在线教育在高等教育中实施与优化的关键要素，旨在重新设计远程课程的教学模式，以更好地达成学习目标。研究强调了存储与管理学生画像的重要性，涵盖内容偏好与访问方式等维度。文章提出利用本体论存储教育过程数据，并设计了一套计算架构，实现对学生学习行为的电子化、自动化追踪与管理。
原文摘要 · Abstract (English)
The expansion of access to Digital Information and Communication Technologies and the offer of distance or semi-distance education courses that make use of virtual learning environments brought changes in the teaching and learning processes, requiring that the student be even more protagonist in this process. The present study aimed to identify important aspects to be considered in the implementation and improvement of self-paced learning and e-learning in higher education courses, with the purpose of rethinking pedagogical models of courses offered at a distance so that they reach even more of your learning objectives. The research is characterized as qualitative, of bibliographic nature, and discusses techniques to monitor and record, electronically and automatically, the results of the process and learning. The importance of processes that store and manage the student's profile is highlighted, both in terms of content and forms of access. The article proposes the use of ontologies to store information about the educational process and presents a computational architecture for this purpose.
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