System Authorization Checking

Gradylitics AI Pro

POWERED BY GRADIE AI
Securing environment...
cloud_upload

Drop Files Anywhere to Analyze

CSV & Excel grade files are supported

KushTech Logo

Gradylitics AI Pro

Student Outreach & Analytics

gavel Terms of Use & Academic Governance

Australian Institute of Higher Education • Elastic License 2.0 (ELv2) • Commonwealth Jurisdiction

verified_user 1. Authorized Access & Staff Eligibility

Full access to student dataset ingestion, grade risk calculations, and cohort communication is restricted strictly to authorized academic personnel possessing an official @aih.edu.au institutional email address. Password strictness (minimum 12 characters, uppercase, lowercase, numbers, and symbols) is cryptographically enforced via PBKDF2 hashing in Cloudflare D1.

visibility 2. Guest Mode (Read-Only Demo Mode)

Guest users explore the platform in a sandbox view with preloaded synthetic data (sample_grades.xlsx). Guest users cannot upload datasets, modify grading policies, delete records, export reports, or dispatch student emails. Attempting restricted features prompts the user to sign in or register with an authorized AIHE account.

psychology 3. Dual-Lane Framework & TEQSA Standards

Unit Coordinators must accurately designate Open Lane (AI-Permitted) and Closed Lane (Invigilated Exam) policies in accordance with unit outline specifications. All AI insights provided by Gradie AI serve solely as academic decision-support indicators under human academic oversight.

security 4. Automated Anomaly Auditing

In accordance with institutional security guidelines, access logs and IP addresses are audited in D1. Novel or changed IP sign-ins trigger an automated security advisory to the staff member's official inbox via Resend.

privacy_tip Privacy & Data Governance Policy

Compliant with the Australian Privacy Principles (APPs) • Privacy Act 1988 (Cth)

memory 1. Zero Student Persistence (Local-First Processing)

Gradylitics AI Pro guarantees that student grade records (CSV/Excel) are parsed and evaluated strictly within local browser memory. No student names, marks, student IDs, or transcripts are uploaded to or stored on any persistent database.

lock 2. Staff Credential & Audit Security (D1 SQLite)

Staff credentials are encrypted with PBKDF2-HMAC-SHA-256 (100k iterations with unique 16-byte salt). Login audit trails record IP addresses to protect staff accounts from unauthorized access.

mark_email_read 3. Transactional Email Integrity (Resend API)

Resend is utilized solely for staff security transactions (registration welcomes, 6-digit password reset codes, and new IP login security notifications). No student records or grades are ever transmitted via Resend.

auto_awesome 4. Transient Edge AI Processing

AI queries (Gradie AI) process transient, in-memory prompts via Cloudflare Workers AI (Llama 3.1 8B). Requests are discarded immediately upon streaming completion and are never retained or used to train public models.

school Gradylitics AI Pro Platform Guide

Dual-Lane Assessment Architecture, Dynamic Weightage, and Student Analytics

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. Gradie AI Educational Assistant

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

download Export Report Options

Configure your download format and dataset scope

psychology Gradie AI Insights

Powered by Gradie AI — Educational Intelligence
info Gradie is an AI and can make mistakes. Cross-check insights at your own discretion before taking action.
forum

Ask Gradie About This Dataset

Loading dataset...
psychology
Ask me anything about your dataset — I have the full student records loaded and ready.
Try one of the suggested questions above, or type your own below.