Supporting Student Participation in 2023-24

Updated 2/22/2024

Monthly Attendance Report

To support attendance and engagement of students through the COVID-19 pandemic, the CSDE established a system in September 2020 to collect student-level attendance data on a monthly basis. This collection allows for more detailed reporting of student attendance by district, school, and student group. District-level disaggregated data by student group along with data visualizations are used by CSDE staff to identify and support districts. CSDE is also partnering with the State Education Resource Center (SERC) to build communities of practice and a system of supports for districts that bring together the latest research, national experts, and promising practices.

Overall rates of student attendance for the state and district, as well as attendance rates by grade are provided in the data files below. Detailed reporting including student groups will be available in mid-late November.

Current Data Files

Statewide Attendance Charts

*Calculations are based only on in-person school days until mid-March 2020. **Calculations include both in-person and remote days.

*Calculations are based only on in-person school days until mid-March 2020. **Calculations include both in-person and remote days.



The Learner Engagement and Attendance Program(LEAP), will target 15 school districts across Connecticut. Through the program, support personnel will go directly to homes, to engage with families and students, help return them to a more regular form of school attendance, and assist with placement in upcoming summer camps and learning programs.

Past Data Files


Archive: School learning models and Attendance reports 2020-21

To support attendance and engagement of students as they participated in varied school learning models, the CSDE established a new system to collect student-level attendance data on a monthly basis. This collection allows for more detailed reporting of student attendance by district, school, and student group. The following reports are the monthly summaries for the 2020-21 academic year:

The CSDE collected the learning model employed by the district on a weekly basis in 2020-21. The reports below provide a high level summary for the week. Map and data listing are also available below.

May 31 - June 4

SCHOOL LEARNING MODEL*

86.3%

Fully In-Person


13.7%

Hybrid


0.0%

Fully Remote


The map below presents the status for the reporting period of May 31 - June 4. Access the detailed dataset for each district and Approved Private Special Education Program (APSEP) as CSV for Excel or see the detailed dataset description.

Map of School Learning Model (May 31 - June 4)


Health Indicators for Consideration of Learning Models

The key leading indicator to support decision-making on the level of in-person education recommended by DPH and CSDE is:

Additionally, the guidance in Addendum 4 identifies three secondary indicators:

These indicators are summarized in the following dataset: CT School Learning Model Indicators by County.

Leading and Secondary Indicators of COVID-19 Infection Levels in Communities for Consideration of Learning Models for School Reopening in Connecticut.*

Indicator Table