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ERIC Number: EJ1473190
Record Type: Journal
Publication Date: 2025-Jun
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1360-2357
EISSN: EISSN-1573-7608
Available Date: 2024-12-23
Ethical Framework for AI Education Based on Large Language Models
Yuyang Yan1; Hui Liu1
Education and Information Technologies, v30 n8 p10891-10909 2025
With the rapid development of Artificial Intelligence in Education (AIED), ensuring that ethical principles are fully respected and implemented as AI technology drives educational innovation has become a pressing issue. Educators are actively exploring and establishing ethical guidelines for AIED, but the fragmented nature of existing research makes it challenging to develop a comprehensive ethical framework. Through a technical analysis of the AI development process, we found significant similarities between AI development and human education. Therefore, this study uses this analogy to help educators better understand AI principles and identify key areas where AIED may lack ethical standards. Consequently, we propose a five-step, multi-layered ethical framework for AIED to guide the specific deployment and implementation of ethical guidelines, and provide a set of ethical review processes for educational policymakers to regulate and review AIED applications.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1Guangzhou University, School of Education, Guangzhou, China