  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.

Artificial Intelligence;Computers and Society;Human-Computer Interaction