面向高等教育中学生画像与内容个性化的基于本体的框架
An Ontology-Based Framework for Student Profiling and Content Personalization in Higher Education
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中文总结 AI 辅助
本研究针对高等教育远程课程的教与学需求，提出一种基于本体的计算架构，用于存储学生画像与教育过程信息，以优化自定进度电子学习的教学模式。
中文摘要 AI 辅助
数字信息与通信技术的普及，以及利用虚拟学习环境开展的远程或半远程教育课程的开设，改变了教与学的过程，要求学生在这一过程中成为更核心的主体。本研究旨在确定在高等教育课程中实施和改进自定进度学习与电子学习时需考虑的重要方面，目的是重新设计远程课程的教学模式，使其能更好地达成学习目标。该研究属于定性的文献性质研究，讨论了用于以电子化、自动化方式监测和记录学习过程及结果的技术，强调了存储和管理学生画像相关过程的重要性，包括内容与访问形式两方面。本文提出使用本体存储教育过程的相关信息，并为此提供了一种计算架构。
英文摘要
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.
