Page 649 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

3 Use Case Requirements

Requirement Description
ID 4.7: Education

REQ-01 The system shall detect and classify emotional states (e.g., stress, fatigue,
frustration) using real-time facial expression and behavioral data.

REQ-02 The system shall generate adaptive learning content in multiple formats (text,
visual, audio) based on user preference and engagement level.

REQ-03 The AI tutor shall recommend micro-interventions (e.g., breaks, breathing
exercises) when cognitive overload is detected.

REQ-04 The system shall allow personalized calibration for students with unique
emotional expression baselines.
REQ-05 All collected data shall be anonymized and processed with consent, following
strict privacy-by-design principles.
REQ-06 The system shall support on-device processing of sensitive data (e.g., facial
images, eye-tracking) wherever possible to enhance privacy.
REQ-07 The system shall provide interpretable outputs and real-time feedback to
educators and parents.
REQ-08 The model shall support fine-tuning with neurodivergent-specific datasets
and use RAG for curriculum-aware content personalization.
REQ-09 The system shall log activity and emotional feedback for longitudinal learning
progress tracking.

4 Sequence Diagram

5 References

[1] AI for Students with Learning Disabilities: A Systematic Review – ResearchGate

613