Benefits, Challenges and Research Recommendations for Social Robots in Education and Learning: A Meta-Review

Emilia Barakova, Kaisa Väänänen, Kirsikka Kaipainen, Panos Markopoulos

Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

38 Lataukset (Pure)

Abstrakti

Social robots exist in various forms but are still not spreading widely to the societal contexts they are envisioned for, such as educational settings. There appears to be a gap between research and practice: A lot of research already demonstrates promising results for using social robots in various domains, but this promise has yet to be realized in “the real world”. The aim of this paper is to form a systematic understanding of the potential and challenges of social robots in the domain of education and learning, which is an intensively researched application domain for social robots. We conducted a meta-review of recent literature reviews (published in 2018-2022), using the PRISMA method. We analyzed 12 review papers that met the defined inclusion criteria by extracting the potential benefits and challenges presented in these reviews. We identify six benefits, five challenges, and six recommendations for future research on social robots in education and learning. These findings emphasize the potential and developments needed to realize the potential of social robots in educational contexts.
AlkuperäiskieliEnglanti
Otsikko2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
KustantajaIEEE
Sivut2555-2561
ISBN (elektroninen)979-8-3503-3670-2
DOI - pysyväislinkit
TilaJulkaistu - 2023
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE International Conference on Robot and Human Interactive Communication - Busan, Etelä-Korea
Kesto: 28 elok. 202331 elok. 2023

Julkaisusarja

NimiIEEE RO-MAN
ISSN (elektroninen)1944-9437

Conference

ConferenceIEEE International Conference on Robot and Human Interactive Communication
Maa/AlueEtelä-Korea
KaupunkiBusan
Ajanjakso28/08/2331/08/23

Julkaisufoorumi-taso

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