Intelligent Educational Technologies: Core Architectures, Algorithms, and Evidence-Based Systems

Dear Colleagues,

The integration of Artificial Intelligence (AI) into educational ecosystems is catalyzing a paradigm shift in pedagogical methodologies through advanced computational frameworks. This Special Issue seeks original research at the nexus of information technology and education, focusing on the design, implementation, and validation of scalable AI systems for teaching innovation. Submissions must foreground technical rigor in addressing how algorithmic models, data infrastructures, and intelligent interfaces transform educational processes.

Potential topics include (but are not limited to) the following:

1. AI System Architectures:

• Scalable frameworks for intelligent tutoring systems (e.g., NLP-driven feedback engines, reinforcement learning agents);
• Distributed computing models for real-time adaptive learning (edge/cloud-based deployment).

2. Data-Centric Innovations:

• Multimodal learning analytics pipelines (sensor fusion, temporal pattern mining);
• Automated instructional design via generative AI (LLM-based content synthesis, RAG architectures).

3. Algorithmic Applications:

• Personalization engines (collaborative filtering, knowledge tracing models);
• AI-augmented assessment (automated scoring, anomaly detection in evaluations).

4. Human–AI Interaction:

• Conversational agents for teacher support (intent recognition, dialogue management);
• Explainable AI (XAI) interfaces for educational decision-making.

5. DevOps for EdTech:

• MLOps practices in educational AI deployment;
• Ethical AI by design (bias mitigation algorithms, privacy-preserving federated learning).

We look forward to your contributions to this timely and impactful topic.

Prof. Dr. Ricardo Queirós
Dr. Mário Rui Domingues Ferreira da Cruz
Guest Editors

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