About this Research Topic
While robots for learning is quite an applied topic of HRI, we found that the context of learner-robot interaction is one of the most challenging and interesting for research, while having the potential to be very impactful. Aiming to go beyond individual interfaces or projects, this Research Topic aims to attract contributions that enable the generation of guidelines and principles for the design of learner-robot interaction.
This Research Topic focuses on social robotics research, showcasing novel algorithms and computational modeling that are applied within the context of learning. Special focus will be given to contributions proposing novel theories, models, and methods for learning with robots. We will also welcome original technical contributions presenting robot-focused systems, algorithms, and computational methods that are tailored for learner-robot interaction. We are particularly interested in contributions demonstrating the specificities of learner-robot interaction compared to classical human-robot interaction systems.
Below is a non-exhaustive list of topics of interest
● Adaptive mechanisms for robot tutors
● Theories and methods for robot tutoring (pedagogical and language acquisition)
● Design of autonomous systems for tutoring interactions
● Designing student models and assessing student’s learning and motivation in robot-learner
● Engagement in educational human-robot interaction
● Gain in learning vs fun in learning with a robot
● Kinaesthetic learning in human-robot interaction
● Impact of robot embodiment on learning
● Shared knowledge and knowledge modeling in HRI
● Technical innovation in learning or teaching robots
● The role of teachers in child-robot interactions
● Human-robot collaborative learning
● Human-robot knowledge sharing
Keywords: Robots in Education, Robot Tutor, Learner-Robot Interaction, Teacher-Robot Interaction
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.