Ethical Challenges in AI-Enabled Education: A PESTEL Analysis

With the advancement of AI-enabled education technology and the popularity of AI-enabled educational experiences, problems with the rising trend occur and recur when it comes to human ethical considerations. Poor eyesight, fatness, less communication, lack of warmth for human peers, addiction to AI tools, avoidance of thinking critically and creatively, worries about unemployment et., all these problems are threatening human welfare and hence rendering AI-based education unethical. Given the ethical worries of common AI users in education, this research finds it necessary to focus on ethical challenges and threats against the background of AI-powered education for the purpose of developing humans-friendly AI educational solutions. Therefore, researchers here try possible means to straighten out possible ethical challenges for AI-supported education. The methodology banks on literature review done under the framework of an analysis model, PESTEL, and is followed by case studies to examine its feasibility so as to propose a better-covered theoretical framework for future analysis of ethical challenges under discussion. Notably, the ethical considerations derive from virtue ethics theory that entails the flourishing of human characters, personalities and abilities. Therefore, ethical challenges drawn from the external environments are those relevant to promote individuals' well-being.

Authors

Institutions

Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/icaie64856.2025.11158638
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ethical Challenges in AI-Enabled Education: A PESTEL Analysis

Yuan Lü, Jianrong Tian
Online Learning and Analytics
article

Ethical Challenges in AI-Enabled Education: A PESTEL Analysis

Yuan Lü, Jianrong Tian
article en

Abstract

With the advancement of AI-enabled education technology and the popularity of AI-enabled educational experiences, problems with the rising trend occur and recur when it comes to human ethical considerations. Poor eyesight, fatness, less communication, lack of warmth for human peers, addiction to AI tools, avoidance of thinking critically and creatively, worries about unemployment et., all these problems are threatening human welfare and hence rendering AI-based education unethical. Given the ethical worries of common AI users in education, this research finds it necessary to focus on ethical challenges and threats against the background of AI-powered education for the purpose of developing humans-friendly AI educational solutions. Therefore, researchers here try possible means to straighten out possible ethical challenges for AI-supported education. The methodology banks on literature review done under the framework of an analysis model, PESTEL, and is followed by case studies to examine its feasibility so as to propose a better-covered theoretical framework for future analysis of ethical challenges under discussion. Notably, the ethical considerations derive from virtue ethics theory that entails the flourishing of human characters, personalities and abilities. Therefore, ethical challenges drawn from the external environments are those relevant to promote individuals' well-being.

Shaanxi Normal University (CN)
Openalex Percentile: Top 71%
Online Learning and Analytics
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.