The SKAE Project: Developing Adaptive AI Teaching Capabilities

Deploying the Subject Knowledge and Application Enhancement (SKAE) architecture. Our independent framework explores how large language models can be systematically modified to humanise instructional delivery, transition from static retrieval engines to empathetic educators, and optimize pedagogical dialogue styles.

• Integration of formative and summative instructional scaffolding routines
• Calibration of AI outputs to align with natural, empathetic teacher-student interactions
• Syllabus-aligned data layers engineered to maximize cognitive retention and text clarity