Social robots for education: A review
By Tony Belpaeme, James Kennedy, Aditi Ramachandran, Brian Scassellati, Fumihide Tanaka. Science Robotics, 2018
1,423 citations recorded by the source corpus.
A review of social robots in education discusses expected outcomes, technical challenges, and directions for future research. Social robots can be used in education as tutors or peer learners. They have been shown to be effective at increasing cognitive and affective outcomes and have achieved outcomes similar to those of human tutoring on restricted tasks. This is largely because of their physical presence, which traditional learning technologies lack. We review the potential of social robots in education, discuss the technical challenges, and consider how the robot’s appearance and behavior affect learning outcomes.
Subfields: Artificial Intelligence, Control and Systems Engineering, Social Psychology
View Paper: https://www.semanticscholar.org/paper/96f65ecdf1d991cbfd1b3722df662ac6bd071cb2
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In Artificial Intelligence
In Control and Systems Engineering
In Social Psychology
Citations in the corpus
- Challenges and Future Directions of Big Data and Artificial Intelligence in Education (2020, background): “It may also support teachers in tackling students’ more complex problems and cultivating students’ higher-order thinking skills by freeing the teachers from their monotonous and routine tasks (Li, 2007; Belpaeme et al., 2018).”