Towards a Conceptual Framework for Evaluating the Ethics of Compassionate Robots in Elementary Education

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Authors: Alexandra Bejarano, Hong H. Tran, Qin Zhu
Cited by: 0
References: 24

Abstract

Compassion plays a critical role in creating inclusive, supportive learning environments that promote students' well-being and engagement. As social robots become more common in elementary classrooms to support academic and socio-emotional learning, they introduce new possibilities for modeling and nurturing compassion. However, they also raise important ethical questions about how children understand and experience care and compassion in human-robot interactions. This paper presents a conceptual framework for examining the ethics of compassionate robots in elementary education. It identifies four key ethical dimensions (Connection, Power, Access, Information) that shape how compassionate behaviors expressed or elicited by robots may influence children's perceptions of care, agency, and moral responsibility. Ultimately, the framework offers a structured approach for evaluating whether, when, and how robots should express compassion in ways that are developmentally appropriate, culturally responsive, and aligned with students' lived experiences, supporting the responsible integration of compassionate robots in education.

Fields of Study & Subjects

Social Robot Interaction and HRI Educational Robotics and Engineering Ethics and Social Impacts of AI

Publication details

Journal / source
ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Pages
297–301
Publication date
12 March 2026
Language
EN