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Intelligent tutoring system to improve learning outcomes

机译：智能辅导系统改进学习结果

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摘要

Nowadays, society is in constant evolution, which allows constant production of new knowledge. In this way, citizens are constantly pressured to obtain new qualifications through training/requalification. The need for qualified people has been growing exponentially, which means that resources for education/training are limited to being used more efficiently. In this paper we will focus in the design the user model, so, we propose an innovative approach to design a user model that monitors the user's biometric behaviour by measuring their level of attention during e-learning activities. In addition, a machine learning catego-rization model is presented that oversees user activity during the session. We intend to use non-invasive methods of intelligent tutoring systems, observing the interaction of users during the session. Furthermore, this article highlights the main biometric behavioural variations for each activity and bases the set of attributes relevant to the development of machine learning classifiers to predict users' learning preference. The results show that there are still mechanisms that can be explored and improved to better understand the complex relationship between human behaviour, attention and evaluation that could be used to implement better learning strategies. These results can be decisive in improving ITS in e-learning environments and to predict user behaviour based on their interaction with technology devices.
机译：如今，社会处于不断的演变，这允许不断生产新知识。通过这种方式，公民经常迫使公民通过培训/报销获得新的资格。对合格人民的需求呈指数级增长，这意味着教育/培训的资源仅限于更有效地使用。在本文中，我们将专注于设计用户模型，因此，我们提出了一种创新的方法来设计一种用户模型，通过在电子学习活动期间测量它们的关注程度来监测用户的生物特征行为的用户模型。此外，提出了一种机器学习Catego-Rization模型，在会话期间监督用户活动。我们打算使用智能辅导系统的非侵入性方法，观察用户在会话期间的互动。此外，本文突出显示每个活动的主要生物识别行为变化，并基于与机器学习分类器的开发相关的一组属性来预测用户学习偏好。结果表明，仍有机制可以探索和改进，以更好地了解可用于实施更好的学习策略的人类行为，关注和评估之间的复杂关系。这些结果可以在改善其在电子学习环境中并基于与技术设备的交互来预测用户行为来决定性。

著录项

  • 来源
    《AI communications》 |2019年第3期|161-174|共14页
  • 作者

    Duraes Dalila; Toala Ramon; Goncalves Filipe; Novais Paulo;

  • 作者单位

    ESTG Polytech Inst Porto CIICESI Felgueiras Portugal|Univ Minho Dept Informat Algoritmi Res Ctr Braga Portugal;

    Univ Minho Dept Informat Algoritmi Res Ctr Braga Portugal|Tech Univ Manabi Portoviejo Manabi Ecuador;

    Univ Minho Dept Informat Algoritmi Res Ctr Braga Portugal;

    Univ Minho Dept Informat Algoritmi Res Ctr Braga Portugal;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Intelligent tutoring systems; adaptive system; attention; biometric behaviour;

    机译：智能辅导系统;自适应系统;注意;生物识别行为;

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