Educational system based on simulation and intelligent conversation

Nesreen Mejbri, Fathi Essalmi, V. Rus
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引用次数: 2

Abstract

This paper explores the use of intelligent conversation and simulation to increase learning outcomes of science topics, i.e. Physics in our case. The underlying theory is that educational 3D interactive simulations can enhance learning by, first of all, adding a playful element to the learning process which boosts motivation, and, second, by creating an opportunity to "learn by doing" when enabling the learner to explore the simulated phenomena by themselves. Furthermore, conversational agents can enhance and strengthen the simulation-based learning environment by playing the role of guide or tutor, e.g. offering hints when the student is struggling, as well as evaluator, which is needed to provide appropriate feedback and guidance. Subsequently, a prototype of an educational system that combines a Physics simulation and a conversational agent was developed and then evaluated. In order to evaluate the effectiveness of the proposed educational system to induce learning gains, we conducted a randomized controlled trial experiment. In particular, we compared the following experimental conditions: using a simulation alone followed by a full system that included both the simulation and a conversational agent versus the conversational agent alone followed by the full system. In both conditions, students were exposed to the same content.
基于模拟和智能对话的教育系统
本文探讨了使用智能对话和模拟来提高科学主题的学习成果,即在我们的案例中是物理。其基本理论是,教育性3D互动模拟可以通过以下方式提高学习效果:首先,在学习过程中添加有趣的元素,从而提高学习动机;其次,通过创造“边做边学”的机会,使学习者能够自己探索模拟现象。此外,会话代理可以通过扮演向导或导师的角色来增强和加强基于模拟的学习环境,例如在学生挣扎时提供提示,以及需要评估者来提供适当的反馈和指导。随后,一个结合了物理模拟和会话代理的教育系统原型被开发出来并进行了评估。为了评估所提出的教育系统诱导学习收益的有效性,我们进行了一项随机对照试验。特别地,我们比较了以下实验条件:单独使用模拟,然后是一个完整的系统,其中包括模拟和会话代理,而单独使用会话代理,然后是完整的系统。在这两种情况下,学生都接触到相同的内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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