Shared Pedagogical Framework
An evidence-based, ethical and inclusive framework for AI-powered personalised learning pathways in basic skills education (EQF 2-4).
Framework Version
Beta 1.0Based on AGORA Model
Core Pedagogical Principles
Teacher Agency
AI supports but never replaces teachers' professional judgement. Final pedagogical decisions always rest with educators.
Inclusive Design
Framework designed to reduce, not amplify, educational inequalities across diverse learner populations.
Ethical AI Use
Transparent, fair, and privacy-respecting implementation of AI technologies in education.
Evidence-Based
All pedagogical strategies grounded in educational research and validated through empirical pilots.
Adaptive Pathways
Learning paths that dynamically adjust to individual learner needs, progress, and preferences.
Transferability
Framework designed for replication across different European educational contexts and systems.
Competence Integration Model
The framework addresses four interconnected basic skills, with Digital and Citizenship as primary focus, enabled by foundational Literacy and Numeracy competences.
AGORA Measurement Model
INPUT Variables
- V1-V4: Demographic factors
- V5-V6: Emotional factors
- V7-V12: Cognitive factors
PROCESS Variables
- V13: High-Impact Strategies (EAI)
- V14: Teaching methodologies
- V15: Temporal adaptation
OUTPUT Variables
- V16-V20: Performance and retention
- V21-V24: Engagement and equity
- V25-V26: Technical validation
High-Impact Strategies (EAI)
Explore the Learning Path
Interactive visualization of the complete learning pathway structure
View Interactive Tree