📄 Research Article
Review of Artificial Intelligence in Education from 2020 to 2025
Synthesis: Raza & Farooq (2025) conduct a comprehensive content analysis of AI in education from 2020-2025, examining 100+ peer-reviewed articles through a three-layer framework: the genome layer (infrastructure, algorithms), the cognitive layer (predictive analytics, multimodal sensing, discourse analysis), and the symbiotic layer (learning platforms, smart classrooms, GenAI copilots). Three forward trends identified: human-AI co-orchestration, privacy-preserving edge/federated AI, and authentic multimodal assessment.
Three-Layer Framework
This review organizes AIED research into three interrelated layers:
Key Findings
Implications
This review provides a structured map of the AIED landscape during the LLM era (2020-2025), useful as a reference point for AI Education. The three-layer framework connects to Learning Analytics, Intelligent Tutoring, and Adaptive Learning research, while the forward trends align with discussions in AI Governance Education and institutional AI readiness.
Connected Concepts
Connected Articles
Citation
Raza, S. H., & Farooq, A. (2025). Review of Artificial Intelligence in Education from 2020 to 2025. EdArXiv. doi:10.35542/osf.io/6bnez_v1.