Robots for learning: an exploration of teacher roles, perceptions, and challenges in robot-mediated learning

With the increasing popularity of robots for learning, many educational organizations are using telepresence robots for the purpose of remote education. However, as robot-mediated learning is important for the learning experiences of remote and local interactants, it is also important to understand teacher roles and robot design features needed to facilitate these roles in robot-mediated learning experiences. In this paper, we present findings from analysis of a national, multi-case study, where we explore how (<i>N</i> = 60) K-12 teachers perceive their roles in teaching hybrid classrooms where a remote learner used a robot to attend a physical classroom with in-person classmates. This paper presents a qualitative study of the perceived roles for teachers in hybrid classrooms where a remote learner uses a telepresence robot to participate in learning activities. In 46 semi-structured interviews (<i>n =</i> 46) and 6 focus group interviews (<i>n</i> = 2; <i>n</i> = 3; <i>n</i> = 2; <i>n</i> = 3; <i>n</i> = 2; <i>n</i> = 2), coded with a computer assisted qualitative data analysis software (i.e., ATLAS.ti), we captured adapted roles enacted by teachers in robot-mediated learning experiences. First, we present empirical data on educator perceptions of teacher roles as they interact with mobile telepresence robots embodied by remote learners. Specifically, we explore perceptions and roles during in-class learning activities, in-school social activities, and learning preparation activities. Findings from our work will inform novel teacher-centered robot and HRI design that facilitates teaching hybrid classrooms. Findings will also inform future interdisciplinary studies on robot-mediated learning.

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Institutions

Publication Details

Journal
Frontiers in Robotics and AI
Published
2025-07-01
DOI
https://doi.org/10.3389/frobt.2025.1441382
Citations
3
Primary Topic
Online and Blended Learning
Type
article
Field-Weighted Citation Impact
26.78

Funders

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article

Robots for learning: an exploration of teacher roles, perceptions, and challenges in robot-mediated learning

Jacquelynne S. Eccles, Verónica Ahumada-Newhart
3 citations
Frontiers in Robotics and AI
Online and Blended Learning
26.78
article

Robots for learning: an exploration of teacher roles, perceptions, and challenges in robot-mediated learning

Jacquelynne S. Eccles, Verónica Ahumada-Newhart
article en
3 citations

Abstract

With the increasing popularity of robots for learning, many educational organizations are using telepresence robots for the purpose of remote education. However, as robot-mediated learning is important for the learning experiences of remote and local interactants, it is also important to understand teacher roles and robot design features needed to facilitate these roles in robot-mediated learning experiences. In this paper, we present findings from analysis of a national, multi-case study, where we explore how (<i>N</i> = 60) K-12 teachers perceive their roles in teaching hybrid classrooms where a remote learner used a robot to attend a physical classroom with in-person classmates. This paper presents a qualitative study of the perceived roles for teachers in hybrid classrooms where a remote learner uses a telepresence robot to participate in learning activities. In 46 semi-structured interviews (<i>n =</i> 46) and 6 focus group interviews (<i>n</i> = 2; <i>n</i> = 3; <i>n</i> = 2; <i>n</i> = 3; <i>n</i> = 2; <i>n</i> = 2), coded with a computer assisted qualitative data analysis software (i.e., ATLAS.ti), we captured adapted roles enacted by teachers in robot-mediated learning experiences. First, we present empirical data on educator perceptions of teacher roles as they interact with mobile telepresence robots embodied by remote learners. Specifically, we explore perceptions and roles during in-class learning activities, in-school social activities, and learning preparation activities. Findings from our work will inform novel teacher-centered robot and HRI design that facilitates teaching hybrid classrooms. Findings will also inform future interdisciplinary studies on robot-mediated learning.

Frontiers in Robotics and AIVol. 12
University of California, Irvine (US), University of California, Davis (US)
National Science Foundation, National Institutes of Health, National Center for Research Resources, National Center for Advancing Translational Sciences
Quality Education
Openalex Percentile: Top 1%
Online and Blended Learning
26.78
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