Robots for Learning - R4L: Adaptive Learning

Wafa Johal, Anara Sandygulova, Jan De Wit, Mirjam De Haas, Brian Scassellati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Robots for Learning workshop series aims at advancing the research topics related to the use of social robots in educational contexts. This year's half-day workshop follows on previous events in Human-Robot Interaction conferences focusing on efforts to design, develop and test new robotics systems that help learners. This 5th edition of the workshop will be dealing in particular on the potential use of robots for adaptive learning. Since the past few years, inclusive education have been a key policy in a number of countries, aiming to provide equal changes and common ground to all. In this workshop, we aim to discuss strategies to design robotics system able to adapt to the learners' abilities, to provide assistance and to demonstrate long-term learning effects.

Original languageEnglish
Title of host publicationHRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages693-694
Number of pages2
ISBN (Electronic)9781538685556
DOIs
Publication statusPublished - Mar 22 2019
Event14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 - Daegu, Korea, Republic of
Duration: Mar 11 2019Mar 14 2019

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
Volume2019-March
ISSN (Electronic)2167-2148

Conference

Conference14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
CountryKorea, Republic of
CityDaegu
Period3/11/193/14/19

Keywords

  • education
  • human-robot interaction
  • learning
  • social robots

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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  • Cite this

    Johal, W., Sandygulova, A., De Wit, J., De Haas, M., & Scassellati, B. (2019). Robots for Learning - R4L: Adaptive Learning. In HRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction (pp. 693-694). [8673109] (ACM/IEEE International Conference on Human-Robot Interaction; Vol. 2019-March). IEEE Computer Society. https://doi.org/10.1109/HRI.2019.8673109