Integration of Robot-supported Tutoring in Higher Education - An Empirically Based Concept

Learning in higher education comes with several challenges, particularly for freshmen since it requires a high degree of autonomous and self-motivated learning. Technology-supported learning already aims to address these challenges but often lacks the social component of learning. Pedagogical agents, particularly social robots can provide personalized tutoring as well as social interaction but are currently not widespread and still seen as a futuristic technology. This contribution presents a concept for applying robot-supported tutoring in higher education. The social robot is used as a tutor in a one-to-one tutoring scenario, which can be directly integrated into university courses. Our approach was intensively evaluated in the field under real conditions and gradually optimized in a total of seven studies. The robot-assisted tutoring has been highly accepted by students and participation reveals cognitive and affective benefits. The concept is not subject-specific and can be transferred to different courses. Finally, we provide guidance on how to integrate robot-supported tutoring into university classes.

Authors

Institutions

Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1145/3702163.3702164
Citations
2
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of Robot-supported Tutoring in Higher Education - An Empirically Based Concept

Birgit Lugrin, Melissa Donnermann
2 citations
AI in Service Interactions
0.69
article

Integration of Robot-supported Tutoring in Higher Education - An Empirically Based Concept

Birgit Lugrin, Melissa Donnermann
article en
2 citations

Abstract

Learning in higher education comes with several challenges, particularly for freshmen since it requires a high degree of autonomous and self-motivated learning. Technology-supported learning already aims to address these challenges but often lacks the social component of learning. Pedagogical agents, particularly social robots can provide personalized tutoring as well as social interaction but are currently not widespread and still seen as a futuristic technology. This contribution presents a concept for applying robot-supported tutoring in higher education. The social robot is used as a tutor in a one-to-one tutoring scenario, which can be directly integrated into university courses. Our approach was intensively evaluated in the field under real conditions and gradually optimized in a total of seven studies. The robot-assisted tutoring has been highly accepted by students and participation reveals cognitive and affective benefits. The concept is not subject-specific and can be transferred to different courses. Finally, we provide guidance on how to integrate robot-supported tutoring into university classes.

University of Würzburg (DE)
Quality Education
Openalex Percentile: Top 22%
AI in Service Interactions
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.