Introduction
Creating and managing classroom schedules is a challenging task that demands attention to multiple variables, including teacher availability, classroom time slots, and subject-specific requirements. Today, we’ve made groundbreaking progress in automating this process with a focus on distribution patterns and AI integration, resulting in a more efficient, error-free scheduling system.
Distribution Patterns Grid
The cornerstone of our new scheduling system is the introduction of distribution patterns. These patterns define how subjects are distributed across the week. For instance, a pattern like “221” ensures that a subject is scheduled for two periods in one day, another two on a different day, and the remaining one on a third day. This balanced approach to scheduling maximizes learning efficiency and ensures that subjects are spread evenly across the week.
To support these patterns, we created a dynamic distribution patterns grid. This grid presents classrooms on the Y-axis and subjects on the X-axis, allowing administrators to interactively assign teachers and set distribution patterns. The grid is designed to provide real-time feedback, highlighting potential scheduling issues and ensuring that all constraints are met before finalizing the schedule.
Schedule Generator
The schedule generator respects all distribution patterns, classroom, subject, and teacher constraints, ensuring that the generated schedules are both efficient and compliant. With just a click, users can delete existing schedules and generate new ones, confident that the system will optimize the allocation of time slots according to the most up-to-date constraints and patterns.
Interactive Scheduling with Real-Time Feedback
We’ve taken user interaction to the next level by enhancing our scheduling grid with sticky headers and real-time feedback features. The headers ensure that critical information, such as classroom names and subject codes, remains visible even while scrolling through the schedule. Additionally, the system provides immediate feedback when generating or modifying schedules, including loading indicators and confirmation dialogs.
Automatic Constraint Validation
To further reduce the likelihood of scheduling errors, we implemented automatic constraint validation. Before any schedule is confirmed, the system checks all classroom, subject, and teacher constraints to ensure compliance. This includes verifying that no schedules overlap and that all time slots meet the required availability criteria.
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