As technologies have evolved over the years, researchers and educators have found new ways of designing interactive learning systems to aid human learners. Still, many argue that interactive learning systems have not lived up to our expectations despite the technological advances over the last few decades. This report provides an overview of the current state of research in the domain of intelligent tutoring systems, robot-based learning systems, and agent-based learning systems. Particular attention is devoted to robot-based learning, a constructionist approach, where a learner is engaged in programming embodied physical agents. While current robot-based learning environments do not involve active human robot interaction, a robot as a learning companion to facilitate human learning will have to. Interface design is one of the crucial components in the development of such a system. This leads to reviewing related theories of interface design for human computer interaction and human robot interaction. Our research will explore the intersection of interactive learning systems and human-robot interaction and eventually design, implement and test a new system that will contribute to the domain of robot-based learning.