Ethical Considerations and Responsible Use of AI in Education: A Students' Perspective

Artificial Intelligence (AI) has gradually become an ever-increasing feature of today's society through an ongoing and often nonlinear diffusion of AI-powered applications. Education couldn't be an exception, where we observe utilisation of AI for different purposes, varying from adaptive learning platforms to content creation, translations, virtual tutoring, and enhancement of learning support, among others. In the light of such developments, nevertheless, ethical implications should be revisited. The increasing use of Artificial Intelligence in Education invites commentators to explore practices of responsible use and ethical considerations. For example, transparency, data privacy, protection, bias and fairness are just some of the ethical considerations that need to be addressed at the intersection of AI and education. The current paper explores the relationship of AI and ethics for students in a Cypriot University. The analysis draws on the findings of a survey conducted among students to identify what ethical requirements and considerations are aware of amidst ongoing AI use. A number of important practical implications stem by the findings that may be important for educators and university administrators. Among others, the findings suggest that although students are not very knowledgeable about data privacy and ethical implications, they still have a sense about the importance of protection - something that underlines the role of Higher Education Institutions in training and guiding learners in their AI-powered learning journey.

Authors

Institutions

Publication Details

Published
2025-04-22
DOI
https://doi.org/10.1109/educon62633.2025.11016462
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ethical Considerations and Responsible Use of AI in Education: A Students' Perspective

Charalambos Christou, Epaminondas Epaminonda, Despo Ktoridou, Maria Michailidis et al.
1 citations
Ethics and Social Impacts of AI
2.37
article

Ethical Considerations and Responsible Use of AI in Education: A Students' Perspective

Charalambos Christou, Epaminondas Epaminonda, Despo Ktoridou, Maria Michailidis, Leonidas Efthymiou, Antroulla Papakyriakou
article en
1 citations

Abstract

Artificial Intelligence (AI) has gradually become an ever-increasing feature of today's society through an ongoing and often nonlinear diffusion of AI-powered applications. Education couldn't be an exception, where we observe utilisation of AI for different purposes, varying from adaptive learning platforms to content creation, translations, virtual tutoring, and enhancement of learning support, among others. In the light of such developments, nevertheless, ethical implications should be revisited. The increasing use of Artificial Intelligence in Education invites commentators to explore practices of responsible use and ethical considerations. For example, transparency, data privacy, protection, bias and fairness are just some of the ethical considerations that need to be addressed at the intersection of AI and education. The current paper explores the relationship of AI and ethics for students in a Cypriot University. The analysis draws on the findings of a survey conducted among students to identify what ethical requirements and considerations are aware of amidst ongoing AI use. A number of important practical implications stem by the findings that may be important for educators and university administrators. Among others, the findings suggest that although students are not very knowledgeable about data privacy and ethical implications, they still have a sense about the importance of protection - something that underlines the role of Higher Education Institutions in training and guiding learners in their AI-powered learning journey.

University of Nicosia (CY)
Quality Education
Openalex Percentile: Top 11%
Ethics and Social Impacts of AI
2.37
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.