PATENT CLAIM ANALYSIS

Application Number: 16041358
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["705", "007160"]

Abstract:
Disclosed herein are aspects of a staff scheduling system for preparing a staffing schedule report for at least one elementary education campus of a school district. In one embodiment, a staff scheduler comprises at least one interface for receiving a plurality of inputs from at least one external computing device; and a processor configured to perform a staff scheduling algorithm to generate a staffing schedule report for each of the elementary education campuses, wherein the staff scheduling algorithm generates a series of input prompts and decisions based on the plurality of inputs. The plurality of inputs may include at least student data, teacher data, enrollment data, and required minutes per course per week.

Claim (Index 1):
A staff scheduler for generating staffing schedules for a plurality of elementary education campuses of a school district, comprising:\n at least one interface for receiving a plurality of inputs from at least one external computing device; and a processor configured to periodically perform a staff scheduling algorithm to generate a staffing schedule report for the plurality of elementary education campuses, wherein the staff scheduling algorithm generates a series of input prompts and decisions based on the plurality of inputs, wherein the staff scheduling algorithm is stored on a non-transitory computer readable medium, wherein said periodically performing is at regular and frequent intervals at time, wherein the plurality of inputs includes at least student data, teacher data, enrollment data, required minutes of core teaching, and required minutes per specials course; wherein at least one special restriction is also periodically evaluated and employed by the processor to determine teaching staffing to be shared by the plurality of elementary education campuses, wherein said periodically evaluated and employed is at regular and frequent intervals at time, wherein said at least one special restriction includes at least one of:\n each specials teacher availability and each specials teacher certifications; \n a desired average specials class size; \n a desired ratio of students per specials teacher per specials class; \n a number of minutes each student must take for a specials class; \n whether a specials teacher is shared with more than one elementary campus of the plurality of elementary education campuses; \n teacher aides available for a specials class; and \n a ratio of students to specials teachers allowed, \n wherein the staff scheduling algorithm includes at least the steps of: receiving time data feed at a regular interval, the time data including at least minutes required per students per course and a number of minutes available for a specials teacher per day; multiplying a number of core teachers per grade by an enrollment factor by the minutes required per students per course; multiplying the number of minutes available for a specials teacher per day by a number of days the specials teacher is available by a specials enrollment factor to calculate a number of specials teacher available weekly minutes; dividing a number of minutes per grade level per week by the specials teacher available minutes to calculate a number of specials teachers; rounding the number of specials teachers to the nearest 0.5 integer; and periodically generating the staffing schedule report for each elementary education campus of the plurality of the elementary education campuses that are employed by teachers for staffing each elementary education campus of the plurality of elementary education campuses to satisfy the at least one special restriction that is also periodically evaluated.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 1.8209
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11929256', '11730568', '11730556', '10934652', '11730567']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1107639828065853
- 35 USC 102 Novelty (BERT): 0.5118326896417276
- Combined Prediction Score: 0.1508708534900995
- Mean Citation Score: 223.026678
- Max Citation Score: 279.91327
- Similarity Product: 174.70899587834418

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test