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Enriching adaptation in e-learning systems through a situation-aware ontology network

机译：通过情境感知本体网络丰富电子学习系统的适应性

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Purpose - The broader adoption of the internet along with web-based systems has defined a new way of exchanging information. That advance added by the multiplication of mobile devices has required systems to be even more flexible and personalized. Maybe because of that, the traditional teaching-controlled learning style has given up space to a new way of learning, which is more flexible and adequate to the learners needs. The purpose of this research is to go further into the semantic modeling of adaptive web based learning systems. Particularly, the paper focuses on those learning systems that consider in their definition the awareness of student's context in order to properly react to the student needs. Design/methodology/approach - In this paper the authors introduce a semantic model of the student context in terms of an ontology network. This semantic model is explored in order to detect the "current situation" of students when they are navigating into e-learning environments. The final objective is to enrich the adaptation functionality of e-learning environments, being able to evaluate context data from personal profile, learning domain and technological situation. Findings - In order to evaluate the semantic model defined, examples of detected situations are shown in accordance to specific e-learning scenarios. Originality/value - The paper covers definition of a flexible and modularized model by using ontology networks, which can be easily modified to incorporate new knowledge data, aiding the modeling of concepts from different learning environments.
机译：目的-互联网和基于Web的系统的广泛采用，定义了一种新的信息交换方式。移动设备的增加所带来的进步要求系统更加灵活和个性化。也许正因为如此，传统的教学控制的学习方式已经放弃了一种新的学习方式的空间，这种新的学习方式更加灵活且足以满足学习者的需求。这项研究的目的是进一步研究基于自适应Web的学习系统的语义建模。尤其是，本文着重于那些在定义中考虑对学生情境的了解以正确响应学生需求的学习系统。设计/方法/方法-在本文中，作者根据本体网络介绍了学生上下文的语义模型。探索了这种语义模型，以便在学生进入电子学习环境时检测他们的“当前状况”。最终目标是丰富电子学习环境的适应功能，能够根据个人资料，学习领域和技术状况评估上下文数据。结果-为了评估定义的语义模型，将根据特定的电子学习方案显示检测到的情况的示例。原创性/价值-本文介绍了通过使用本体网络对灵活而模块化的模型的定义，可以轻松地对其进行修改以合并新的知识数据，从而帮助对来自不同学习环境的概念进行建模。

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