Progress Detection
Identify patterns in student performance across instructional domains and observation periods.
SpEd Compass • Product Demonstration
Explore a demonstration of how curriculum implementation, student progress, instructional domains, interventions, and learning analytics can be brought together in one educator-facing platform.
All students, schools, sites, scores, analytics and research indicators shown here are fictional and are used solely to illustrate platform capabilities. This demonstration does not establish deployment, adoption, or validated effectiveness.
Instructional intelligence
SpEd Compass demonstrates how learning and curriculum data could be transformed into structured instructional insights to support educator decision-making.
Identify patterns in student performance across instructional domains and observation periods.
Translate observed learning patterns into potential instructional strategies and next-step recommendations.
Bring together student-level observations, assessment information, instructional domains and learning trajectories.
Track instructional interventions, changes in strategy and subsequent student responses over time.
AI-assisted output in this demonstration is illustrative. It is presented for educator review and does not diagnose students, replace professional judgement, or claim a measured effect on student outcomes.
Platform workflow
Seven stages, from structured curriculum through to ongoing progress monitoring. Each stage in the demonstration is educator-facing.
Positioning
Five things the prototype is built around. Each is a demonstrated prototype capability, not a measured outcome.
Instructional content is organised around five defined special education learning domains, with objectives and monitoring indicators attached to every module.
Each learner has an individual profile, trajectory and instructional level. Class and cohort views exist so you can reach that individual record quickly.
Built around the daily workflow: plan, teach, observe, analyse, adapt. Every AI-assisted suggestion can be reviewed and edited, and is recorded against the educator who acted on it.
Observation, assessment and intervention records are organised over time so patterns are visible, with gaps in the record shown rather than filled in.
Instructional sequences move up or down by gate criteria rather than by calendar, and the prototype shows the educator override at every step.
Start here
Enter the platform to walk through curriculum, students, analytics, AI-assisted recommendations, implementation and research context. You can return to this introduction at any time from the left rail.