论文标题
针对学生学习行为本体论构建AI-FML机器人剂的研究
A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction
论文作者
论文摘要
在本文中，我们提出了一种用于学生学习行为本体构建的AI-FML机器人代理，该构造可以应用于英语语言和听力领域。具有本体论的AI-FML机器人剂包含用于分析学生学习行为的感知智能，计算智能和认知智能。此外，AI-FML机器人剂中有三种智能代理，包括感知剂，计算剂和认知剂。我们在机器人Kebbi Air上部署感知剂和认知剂。此外，具有深神经网络（DNN）模型的计算代理是在云中执行的，可以通过Internet与感知剂和认知代理进行通信。拟议的AI-FML机器人剂在台湾使用并在日本进行了测试。实验结果表明，可以在人类和机器共学习模型中用于未来的教育。
In this paper, we propose an AI-FML robotic agent for student learning behavior ontology construction which can be applied in English speaking and listening domain. The AI-FML robotic agent with the ontology contains the perception intelligence, computational intelligence, and cognition intelligence for analyzing student learning behavior. In addition, there are three intelligent agents, including a perception agent, a computational agent, and a cognition agent in the AI-FML robotic agent. We deploy the perception agent and the cognition agent on the robot Kebbi Air. Moreover, the computational agent with the Deep Neural Network (DNN) model is performed in the cloud and can communicate with the perception agent and cognition agent via the Internet. The proposed AI-FML robotic agent is applied in Taiwan and tested in Japan. The experimental results show that the agents can be utilized in the human and machine co-learning model for the future education.
