verified_user 1. Authorized Access & Institutional Governance

Access to full student dataset ingestion, grade risk calculations, and student communication is strictly restricted to authorized academic personnel with verified institutional @aih.edu.au credentials. All academic workflows comply with the Higher Education Standards Framework (Threshold Standards) 2021 under TEQSA governance.

shield 2. Security Posture & Infrastructure

The platform maintains an enterprise-grade security posture. Operational services are hosted on a secure Cloudflare cloud backend, providing globally distributed edge protection, encrypted data transit, and resilient operational safeguards. Academic staff credentials and sessions are protected with industry-standard cryptographic controls and automated login anomaly alerts.

psychology 3. Dual-Lane Framework & AI Decision-Support

Unit Coordinators designate Open Lane (AI-Permitted) and Closed Lane (Invigilated Exam) assessment settings in alignment with curriculum guidelines. All analytical observations and risk recommendations generated by the AI assistant serve strictly as academic decision-support indicators under human academic judgment and oversight.

visibility 4. Guest Mode (Demonstration Sandbox)

Guest users access a read-only demonstration sandbox with synthetic sample data. Guest mode strictly restricts dataset uploading, policy modifications, data export, or student outreach. Accessing full analytical features requires an authorized institutional login.

security 1. High Security Posture & Privacy Standards

Gradylitics AI Pro is engineered in full compliance with the Australian Privacy Principles (APPs) established under the Privacy Act 1988 (Cth) and higher education confidentiality guidelines. The platform enforces a robust security posture to ensure institutional data integrity at all times.

memory 2. Zero Student Data Storage (Local Processing)

The platform guarantees that student grade records and assessment files are parsed and evaluated strictly within local browser memory. No student names, student identification numbers, grade marks, or academic records are ever uploaded to, retained in, or stored on any persistent database or remote server.

cloud 3. Secure Cloudflare Backend Infrastructure

Application routing and authentication services are hosted on a secure Cloudflare cloud backend. This edge infrastructure ensures end-to-end encryption for all network communications, distributed threat defense, and safe, isolated processing environments.

lock 4. Staff Account & Credential Protection

Academic staff credentials are protected using industry-standard cryptographic hashing and secure session management. To safeguard institutional accounts against unauthorized access, automated security notifications are dispatched to staff email accounts if a sign-in is detected from an unrecognized location.

auto_awesome 5. Transient & Private AI Processing

Inquiries handled by the embedded AI assistant operate on transient, stateless in-memory requests. Data is discarded immediately upon completion of the response and is never retained, stored, or used to train public or external AI models.

tune 1. Dual-Lane Assessment Framework

When loading or reconfiguring a dataset, Unit Coordinators designate Assessment 1 (A1) and Assessment 2 (A2) policies:

• • Open Lane (AI-Permitted): Applied to coursework where Generative AI tools are permitted (e.g., Portfolio Labs, Group Reports, Projects).
• • Closed Lane (Closed-Book): Applied to invigilated environments where AI tools are prohibited (e.g., Quizzes, Midterms, Final Exams).
• • Dynamic Weightage: Configure exact weight distribution (e.g., 50/50, 60/40, 40/60, 55/45) calibrated to 100%.

flag 2. Optional Component Hurdle Policy

Gradylitics provides flexible hurdle policy management at the unit level:

• • Hurdle Enforced (Ticked): Students must attain at least 50% in A1 AND at least 50% in A2 separately, in addition to an aggregate course total ≥ 50%.
• • No Hurdle (Unticked): Passing is determined solely by overall aggregate course total (≥ 50.0 / 100).

groups 3. Cohort Categorization & Risk Monitoring

Students are automatically categorized into four actionable cohorts:

• • At-Risk: Students with aggregate score < 50% or failing a mandatory component hurdle.
• • Early Intervention: Students with attendance < 50% requiring proactive outreach.
• • Good Standing: Passing students making steady academic progress.
• • Top Performers: Students achieving Distinction (75–84.9%) and High Distinction (85%+).

email 4. Targeted Outreach & Campaigns

Engage students directly using personalized or bulk mail templates for academic interventions, attendance alerts, congratulations, and general updates.

psychology 5. AI Educational Assistant

Ask natural language questions about cohort trends, individual student diagnoses, or tailored intervention strategies powered by secure edge AI.