AI-Powered Educational Agents: Opportunities, Innovations, and Ethical Challenges
Autonomous University of Queretaro
Abstract
Recent advances in large language models (LLMs) have triggered rapid growth in AI-powered educational agents, yet researchers and practitioners still lack a consolidated view of how these systems are engineered and validated. To address this gap, we conducted a systematic literature review of 82 peer-reviewed and industry studies published from January 2023 to February 2025. Using a four-phase protocol, we extracted and coded them along six groups: technical and pedagogical frameworks, tutoring systems, assessment and feedback, curriculum design, personalization, and ethical considerations. Synthesizing these findings, we propose design principles that link technical choices to instructional goals and outline…
Citation impact
- FWCI
- 80.04
- Percentile
- 100%
- References
- 102
Authors
1Topics & keywords
- Engineering ethics
- Political science
- Sociology
- Business
- Engineering