2018-19 Student t Enroll llment Updates Prepared for Pattonville - - PowerPoint PPT Presentation

2018 19 student t enroll llment updates
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2018-19 Student t Enroll llment Updates Prepared for Pattonville - - PowerPoint PPT Presentation

2018-19 Student t Enroll llment Updates Prepared for Pattonville R-III Board of Education November 27, 2018 by Matt Goodman, Ph.D. Presentation on Outline ne 2018-19 Enrollment Update and Enrollments Projection Comparison and


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2018-19 Student t Enroll llment Updates

Prepared for Pattonville R-III Board of Education November 27, 2018 by Matt Goodman, Ph.D.

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Presentation

  • n Outline

ne

❖2018-19 Enrollment Update and

Projection Comparison

❖Monitoring Student Counts

▪ Placement Requests ▪ Staffing Implications

❖Monitoring for Trends within the Year ❖Next Steps

Student Enrollment

Enrollments and Projections Monitoring Student Counts Monitoring for Trends within the Year Next Steps

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Enrollment by District and nd Bui uildi ding ng 2017-18 and nd 2018-19 19

Location 2017-18 2018-19 Difference Bridgeway 439 418

  • 21

Drummond 720 720 Parkwood 458 455

  • 3

RemingtonTraditional 368 381 +13 Rose Acres 362 332

  • 30

Willow Brook 490 492 +2 Holman Middle 582 611 +29 Pattonville Heights Middle 639 655 +16 Pattonville Sr. High 1735 1720

  • 15

DISTRICT TOTAL 5793 5787

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Enrollment by District and nd Bui uildi ding ng 2017-18 and nd 2018-19 19

Location 2017-18 2018-19 Difference Bridgeway 439 418

  • 21

Drummond 720 720 Parkwood 458 455

  • 3

RemingtonTraditional 368 381 +13 Rose Acres 362 332

  • 30

Willow Brook 490 492 +2 Holman Middle 582 611 +29 Pattonville Heights Middle 639 655 +16 Pattonville Sr. High 1735 1720

  • 15

DISTRICT TOTAL 5793 5787

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2018-19 Enrollments and nd Proje

  • jection
  • n Comp
  • mparison

by Leve vel and nd Bui uildi ding ng

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Proje

  • jection
  • n Metho

hodo dology

❖Cohort data compiled by building by grade

▪ Example – 1st grade 2013-14, 2nd grade 2014-15, 3rd grade 2015-16, 4th grade 2016-

17

▪ For transition grades – K and 6 – used previous year value

❖Two types of projection generated for each grade in building

▪ Three Year Average ▪ Forecast/Algorithm – prediction of future value from existing values

✓ Predicted value is a y-value for a given x-value (y – enrollments; x – year) ✓ Known values are existing x and y values (enrollments and years), and the new value is

predicted using linear regression.

❖Midpoint between the two approaches has also been created

▪ Sum the three year average and algorithm value and divide by two

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2018-19 Fo Forecasts vs. Bui uilding Enrollments

Location 8.16.18 9.26.18 11.7.18 3 Year Average Projection Algorithm Projection Midpoint of Projections Bridgeway 408 418 417 420 422 421 Drummond 702 720 725 723 748 736 Parkwood 450 455 469 435 480 458 RemingtonTraditional 380 381 381 380 383 382 Rose Acres 336 332 328 354 341 348 Willow Brook 479 492 497 482 487 485 Holman Middle 608 611 609 587 583 585 Pattonville Heights Middle 654 655 659 663 675 669 Pattonville Sr. High 1717 1720 1708 1696 1716 1706

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Presentation

  • n Outline

ne

❖2018-19 Enrollment Update and

Projection Comparison

❖Monitoring Student Counts

▪ Placement Requests ▪ Staffing Implications

❖Monitoring for Trends within the Year ❖Next Steps

Student Enrollment

Enrollments and Projections Monitoring Student Counts Monitoring for Trends within the Year Next Steps

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Moni

  • nitor
  • ring

ng for Staffing and nd Stude udent Requ quests

Factors Influ luen encin ing Optim imal l Re Resource e Allo locatio ion for Studen ent Learnin ing

Variation in enrollment patterns Potential Enrollees and transfer requests Factors Influencing Optimal Resource Allocation Staffing

PROBLEM How do we maximize enrollment and staffing efficiencies while maintaining class size standards and while also knowing potential enrollees and transfer requests exist? SOLUTION Create a shared spreadsheet and engagement process amongst district staff/departments to monitor the status of class sizes, available seats, potential enrollees, and transfer requests by building by grade on a daily basis.

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Col

  • llabo

boration

  • n Across Depa

partme ments

Information Technology Research Support Student Services Human Resources Timely and Actionable Information on Enrollment and Staffing

Generates a daily file from SIS Manages master tracking file Manages requests and potential enrollees Monitors class sizes, Communicates with Building Principals and District Administration, Summarizes and reports

Began generating daily files on July 17 and tracking has continued.

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Reference Values Daily Inputs Calculated Values

❖ Class size ceilings, 85%, 95%,

and 100% values by grade levels (K-1, 2, 3-4, 5-6, 7-12)

❖ Number of sections by grade by

building

❖ Daily enrollment counts by

building by grade Before the 1st day of school

❖ Number of transfer requests ❖ Number of potential enrollees ❖ Reference values by building by

grade

❖ Available space to 85%, 95% and

100% – difference between actual counts and available seats to each threshold

❖ Class Sizes – current, with 1

section reduction, with 1 section addition, if requests taken, if potential enrollees taken, if requests and potential enrollees taken

Sha hared Spr preadshe heet: Reference Value ues, Daily Inpu puts, and nd Calculated Values

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Reference Value ues – Samp mple

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Daily Input nputs – Sampl mple

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Calculated Values – Sampl ple

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Calculated Values – Sampl ple

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Calculated Values – Sampl ple

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Calculated Values – Sampl ple

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Presentation

  • n Outline

ne

❖2018-19 Enrollment Update and

Projection Comparison by Level and Building

❖Monitoring Student Counts

▪ Placement Requests ▪ Staffing Implications

❖Monitoring for Trends within the

Year

❖Next Steps

Student Enrollment

Enrollments and Projections Monitoring Student Counts Monitoring for Trends within the Year Next Steps

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Presentation

  • n Outline

ne

❖2018-19 Enrollment Update and

Projection Comparison by Level and Building

❖Monitoring Student Counts

▪ Placement Requests ▪ Staffing Implications

❖Monitoring for Trends within the

Year

❖Next Steps

Student Enrollment

Enrollments and Projections Monitoring Student Counts Monitoring for Trends within the Year Next Steps

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Next xt Steps ps

❖Continue tracking and monitoring enrollment daily ❖Examine “Entry Codes” ❖Generate 2019-20 enrollment projections for use in the 2018-19

Enrollment and Staffing Timeline