Li, Kai-Yan Peng, B. Ed., Ling-Tong Wu., and Pei-Jyun Hsieh
Owing to AI advances, more and more software or hardware
can be applied for teaching and learning. Moreover, the
physical robot was created for delivering learning materials or
home care. However, until now, it is tough to apply the real
robot in a class. Most robots such as Zenbo or Kebbi Air
provide a visualizable and blocky programming tool. In this
study, a process integrated with dynamic assessment was
proposed to create a teaching robot. The robot includes
teaching videos and in-video quizzes with prompts, hints, and
direct teaching. In addition, teachers can design some
interactive movements from a robot to enhance students'
learning interests. In addition, the nonparametric cognitive
diagnosis model will be applied to make the robot more
personalized for the specific student. Students can be taught
according to their non-mastery skills of the teaching content.