Motion planning is a core problem in robotics concerned with finding feasible paths for a given robot. Motion planning algorithms perform a search in the high-dimensional continuous space of robot configurations and exemplify many of the core algorithmic concepts of search algorithms and associated data structures. Motion planning algorithms can…

Teachable agent is a type of pedagogical agent which instantiates Learning-by-Teaching theory through simulating a "naive" learner in order to motivate students to teach it. This paper discusses the limitation of existing teachable agents and incorporates intrinsic motivation to the agent model to enable teachable agents with initiative…

Focuses on the cultural and pedagogical considerations in the design of student-centered learning systems with particular reference to three cases in Singapore. The experiences illustrate some of the challenges and problems in designing and implementing learning systems in three different contexts: local-institutional, trans-institutional, and…