语义上下文感知驱动动机性访谈学习的本体网络定义

Vinícius Maran, J. Oliveira, R. Pietrobon, Iara Augustin
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引用次数: 10

摘要

上下文感知提出计算机系统应该使用来自环境的信息来调整其执行和内容以使用户受益。随着教育机构最近采用大规模开放在线课程,上下文信息的使用可以成为课程保留和学习效果的决定性因素。在本研究中,我们利用OpenEDX平台上教授的动机性访谈领域的健康课程,建立了一个本体网络,用于根据上下文信息对学生进行材料的适应和建议。通过对该本体网络的案例验证,发现该本体网络提供了基于上下文信息推荐材料的可能性。根据本体网络中定义的一组规则进行推理,提出建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ontology Network Definition for Motivational Interviewing Learning Driven by Semantic Context-Awareness
Context-awareness proposes that computer systems should use the information from the environment to adapt their execution and content to benefit the user. With the recent adoption of Massive Open Online Courses by educational institutions, the use of context information can be a determining factor in course retention and learning effectiveness. In this study, we modeled an ontology network for the adaptation and suggestion of materials to students based on context information, using a health course in the area of Motivational Interviewing taught in OpenEDX platform. Through a validation of this ontology network in a case study, it was found that the ontology network offered the possibility of recommending materials based on context information. The recommendations were made through the inference based on a set of rules defined in the ontology network.
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