Timetable provides a configurable prediction model that transforms course data into a structured success forecast. Instead of relying on isolated metrics, teachers can combine multiple weighted indicators to estimate how likely a learner is to complete a course successfully and on time.
The model integrates activity completion, timing behavior, workload planning and learner preferences. The result is a transparent prediction framework that supports early intervention, self-regulation, and informed decision-making.
The calculated prediction is presented within the course overview, where it becomes part of an interactive success dashboard for learners.

✔️ Predict learner success
Estimate how likely learners are to complete a course successfully and on time.
✔️ Multi-factor prediction model
Combine progress, timing behavior, workload, and learner preferences into one forecast.
✔️ Flexible prediction configuration
Choose which factors influence predictions and adapt scoring, visuals, and feedback to match your course design.