Dynamic School Calendar System with Rotating Class Patterns
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional scheduling methods for students are monotonous and fail to optimize learning potential, as they often result in classes being held at the same time every week, potentially affecting performance due to natural energy levels, and are complex to follow, leading to errors in tracking schedules.
Innovation Solution
A scheduling method that determines the type of schedule for each day, calculates the order of classes based on a stored pattern or table, and populates a student planner with the schedule in a user-specified format, allowing for variations in class times and days, such as rotations and half days, to provide a more dynamic and efficient scheduling system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed class schedule is used (same classes every day in same order), then scheduling is simple and easy to follow, but student performance is reduced due to monotony and inability to optimize for individual energy levels
Solution Approach 1:
The patent implements dynamic scheduling where class orders rotate automatically based on day of week, transforming the static fixed schedule into a dynamic system that adapts to different days while remaining predictable. The rotation pattern changes class positions systematically (e.g., Math moves from 1st period on Monday to 2nd period on Tuesday) without requiring complex manual tracking, thus maintaining ease of operation while improving student performance through variety.
2Reliability
If class rotation schedules are implemented to vary class times and days, then student performance is optimized by matching classes to energy levels, but schedule complexity increases making it difficult to follow
Solution Approach 1:
The patent applies periodic action through systematic rotation patterns that repeat on a weekly cycle. Each class follows a predetermined rotation sequence (e.g., Class A: 1st→2nd→3rd→4th period across different days), creating a periodic structure that is complex enough to provide variety for performance optimization but regular enough to be predictable and easy to follow once the pattern is understood.
Solution Approach 2:
The schedule is segmented into modular rotation patterns for different classes, where each class has its own rotation sequence. This segmentation allows the complex overall schedule to be broken down into manageable, independent patterns that can be tracked separately, reducing the cognitive load on students while maintaining performance benefits.
3Adaptability or versatility
If manual tracking of rotation schedules is required, then schedule flexibility is achieved, but errors increase due to multiple steps needed to determine class order
Solution Approach 1:
The patent implements self-service through automated electronic distribution of schedules to student devices. The system automatically calculates which class a student has at any given time based on their device's date and location data, eliminating the need for students to manually track rotation patterns and reducing errors while maintaining flexible rotation scheduling.
Solution Approach 2:
The system uses feedback from student device data (date, time, location) to dynamically determine and display the correct class information. This real-time feedback mechanism ensures students always see accurate schedule information without manual intervention, improving reliability while preserving schedule flexibility.
Data Source
AI summary
A scheduling method, computer-readable medium, system, and an apparatus are provided. In this scheduling method, a user request is received, order of classes for each day in the user request is calculated and an organizer is populated with the calculated order of classes for each day of the week specified in the user request and provides a schedule in a predetermined output format or in a format specified by the user. The calculation of the schedule may include for said each day in the user request determining corresponding day in a scheduling cycle, and calculating the order of classes for said corresponding day based on a stored pattern or a table.