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dc.contributor.authorPerifanou, Maria-
dc.contributor.authorEconomides, Anastasios A.-
dc.contributor.authorHäfner, Polina-
dc.contributor.authorWernbacher, Thomas-
dc.date.accessioned2022-09-22T12:09:05Z-
dc.date.available2022-09-22T12:09:05Z-
dc.date.issued2022-
dc.identifier10.1007/978-3-031-16290-9_52en_US
dc.identifier.isbn978-3-031-16289-3en_US
dc.identifier.isbn978-3-031-16290-9en_US
dc.identifier.issn0302-9743en_US
dc.identifier.issn1611-3349en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-16290-9_52en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/1305-
dc.description.abstractA mobile telepresence robot (MTR) is a semi-autonomous robot whose movement and interaction with its surrounding environment is controlled by a person from a distance. In education, MTR enable learners or educators to virtually participate in a class from a distance. TRinE: Telepresence Robots in Education is an EU project that aims at providing an interactive toolkit to support educators, learners, and others in order to integrate MTR in education. During January and February 2022, project’s partners conducted a qualitative study to collect the experiences and views of educators, learners, and other stakeholders (i.e., administrators, technical support staff, librarians) regarding the use of MTR in education across Austria, Germany, Greece, France, Iceland, Malta, and USA. A total of 19 persons were interviewed and 66 persons participated in 12 focus groups discussions. The findings describe interviewees’ experiences with MTR in education as well as the views of interviewees and focus groups’ participants with regard to pros, cons, and recommendations of using MTR in education. These findings may help educational policy makers, educational institutes officials, educators, and others to efficiently integrate MTR in education.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesLecture Notes in Computer Scienceen_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.sourceProceedings of EC-TEL 2022, 17th European Conference on Technology-Enhanced Learningen_US
dc.subjectFRASCATI::Social sciences::Educational sciences::Education, general (including: training, pedagogy,didactics)en_US
dc.subjectFRASCATI::Natural sciences::Computer and information sciencesen_US
dc.subject.othertelepresence robotsen_US
dc.subject.otherremote teachingen_US
dc.subject.otherremote learningen_US
dc.subject.otherremote educationen_US
dc.subject.otherdistance teachingen_US
dc.subject.otherdistance learningen_US
dc.subject.otherdistance educationen_US
dc.subject.otherhuman computer interactionen_US
dc.titleMobile Telepresence Robots in Education: Strengths, Opportunities, Weaknesses, and Challengesen_US
dc.typeConference Paperen_US
dc.contributor.departmentΤμήμα Οικονομικών Επιστημώνel
local.identifier.volume13450en_US
local.identifier.firstpage573en_US
local.identifier.lastpage579en_US
local.identifier.volumetitleEducating for a New Future: Making Sense of Technology-Enhanced Learning Adoptionen_US
Εμφανίζεται στις Συλλογές: Τμήμα Οικονομικών Επιστημών

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