About this Research Topic
This volume is part II in the series. Please see the first volume Robots for Learning.
Studies with educational robots often report an increase in students' intrinsic motivation, as well as enhancements in their social skills, when the activities promote interpersonal communicative interactions. Owing to that, robots are increasingly being adopted in educational settings in various learning contexts and roles, with some regions even extending them as a part of the regular curriculum. Nonetheless, in times when every device is highly interactive, the robots and the technology deployed on them have to constantly enhance the user experience to keep their application appealing to learners. The second issue of this Research Topic aims to attract contributions that highlight the technical evolution and impact of such advancements in education in the last several years.
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 or peers
• Theories and methods for robot tutoring (pedagogical and language acquisition)
• Design of autonomous systems for learning interactions
• Designing student models and assessing student’s learning and motivation in robot-learner interaction
• Engagement in educational human-robot interaction
• Gain in learning vs fun in learning with a robot
• Robot-focused systems, algorithms, and computational methods for education
• Learning by teaching with social robots
• Student's performance visualization in educational robotics
• Activity-based setups in robots for learning
• Stakeholders in school-environment in the context of robotics
• Robots, methods, and systems for education
• Methods and models for long-term educative human-robot interactions
• Frameworks for hybrid teacher-robot-student co-learning
This Research Topic is linked with the Robots for Learning workshop at the 18th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2023) in Stockholm Sweden. Any contributions presented at the workshop must be extended to contain 30% original content. However, this Research Topic welcomes relevant contributions that were not presented at the workshop.
Studies with educational robots often report an increase in students' intrinsic motivation, as well as enhancements in their social skills, when the activities promote interpersonal communicative interactions. Owing to that, robots are increasingly being adopted in educational settings in various learning contexts and roles, with some regions even extending them as a part of the regular curriculum. Nonetheless, in times when every device is highly interactive, the robots and the technology deployed on them have to constantly enhance the user experience to keep their application appealing to learners. The second issue of this Research Topic aims to attract contributions that highlight the technical evolution and impact of such advancements in education in the last several years.
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 or peers
• Theories and methods for robot tutoring (pedagogical and language acquisition)
• Design of autonomous systems for learning interactions
• Designing student models and assessing student’s learning and motivation in robot-learner interaction
• Engagement in educational human-robot interaction
• Gain in learning vs fun in learning with a robot
• Robot-focused systems, algorithms, and computational methods for education
• Learning by teaching with social robots
• Student's performance visualization in educational robotics
• Activity-based setups in robots for learning
• Stakeholders in school-environment in the context of robotics
• Robots, methods, and systems for education
• Methods and models for long-term educative human-robot interactions
• Frameworks for hybrid teacher-robot-student co-learning
This Research Topic is linked with the Robots for Learning workshop at the 18th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2023) in Stockholm Sweden. Any contributions presented at the workshop must be extended to contain 30% original content. However, this Research Topic welcomes relevant contributions that were not presented at the workshop.
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.
