Data-Based Decision Making

Data-Based Decision Making

0.25 USBE Credits
This microcredential focuses on the skills for effective teaming that allow a school to effectively identify, analyze, and solve problems at all three tiers of positive behavior interventions and supports implementation.

DESCRIPTION

To earn this 0.25 credit microcredential you will submit one of the evidence items from the list below to demonstrate your proficiency in data-based decision-making within a tiered supports model for behavior. Your evidence should also demonstrate an understanding of the problem-solving model as well as data sources for school-wide problem solving. You will also complete a short reflection. Click Earn This Microcredential to learn more!

FEES

You will be charged $20 by the badge provider. You'll be charged at the point you submit your badge for final review.

CLARIFICATIONS

This microcredential does not focus on special education identification or evaluation.

IMPORTANT TERMS

Positive Behavior Interventions and Supports: A framework for teaching students expectations, reinforcing appropriate pro-social behavior, and providing instruction and consequences for errors in behavior.

Multi-Tiered System of Supports: An operational framework of tiered supports for improving academic and behavioral outcomes for all students.

Fidelity: Implementation of a strategy or intervention as it is intended and with all the components that have been shown to lead to the desired outcomes.

BACKGROUND SCENARIO

A school is teaching school-wide expectations to students and providing reinforcement for pro-social behavior. However, they are not sure how to identify where there might be hot spots of behavior issues such as location, types of behavior, or which students may need additional support.

EVIDENCE OPTIONS

Student Performance Data: Submit a chart representing one student's progress in response to an intervention targeting a behavior concern. Chart must also include a brief (1-2 paragraph) description of the behavior of concern, the intervention implemented, and the student's response to the intervention.

Other: Submit a description of various sources of data available for school-wide behavior problem solving (office discipline referral data, early warning system data, climate survey data, mental health screening, attendance, suspension, etc.). The reports you submit from a school-wide behavior tracking data system (e.g., School-Wide Information System, Educator's Handbook, district data system) must demonstrate understanding of how to identify school-wide behavior problems. The report should also include written analysis of what the identified core problems are (e.g., location, type of behavior) and 2-3 action items to address the problems.

Candidate's Choice: Submit another type of evidence demonstrating your effective and consistent use of data-based decision-making within a tiered supports model for behavior.

Candidates are required to make 1 evidence submission(s).

Review Criteria

Individual student progress graph must visual display (line, column, performance (y-axis) over time (x-axis).Must outline the various sources of data available for school-wide problem solving (office discipline referral data, early warning system data, climate survey data, mental health screening, attendance, suspension, etc.). Must submit reports with at least 4 charts/graphs outlining an identified school-wide problem that spotlight a common problem location, time, day, type of behavior problem, group of students, and/or rationale for the behavior. Must provide an analysis of what the identified core problems are (e.g., location, type of behavior) and 2-3 action items to address the problems.

REFLECTION PROMPTS

  1. Provide an analysis of what you have learned about your school's current data sources.

  2. What additional data sources would the school benefit from having access to for school-wide problem solving.

Review Criteria

Must include a thoughtful analysis and demonstrated understanding of the types and sources of data for school-wide problem solving (office discipline referral data, early warning system data, climate survey data, mental health screening, attendance, suspension, etc.)

RESOURCES

Educator's Handbook
https://www.educatorshandbook.com/
Educator's Handbook is a tool for managing data related to office discipline referrals, as well as tier 2 (Check-In/Check-Out) and tier 3 data. It allows users to run reports at the school-wide level to identify areas of concerns by several indicators (time, location, day, behavior type, reason for behavior). It also allows for looking at individual student data.

Intervention Finder app
https://www.davis.k12.ut.us/departments/student-family-resources/mtss/intervention-supports
Davis School District has developed an intervention finder application that has a curated listed of evidence-based interventions. It pulls from several other sources and organizes interventions at three levels (student, classroom, school-wide) and provides overviews of behavior practices and interventions as well as links to additional resources.

PBIS.org
PBIS.org
This is the best source of information on research, practices, and resources related to positive behavior interventions and supports. It is an excellent resource for all things PBIS-related. It is also regularly curated and updated with the latest research, information, and resources available.

RTI 4 Success: Data Based Decision Making
https://rti4success.org/essential-components-rti/data-based-decision-making
This website provides an overview of data-based decision making and many resources to help the reader learn more about it.

SWIS.org
SWIS.org
The School-Wide Information System (SWIS) is a tool for managing data related to office discipline referrals, as well as tier 2 (Check-In/Check-Out) and tier 3 data. It allows users to run reports at the school-wide level to identify areas of concerns by several indicators (time, location, day, behavior type, reason for behavior). It also allows for looking at individual student data.

UMTSS Canvas Course: Data
https://uen.instructure.com/enroll/467K63
This Canvas course is open to any user and was created by USBE.

UMTSS Canvas Course: Effective Teaming
https://linkprotect.cudasvc.com/url?a=https%3a%2f%2fuen.instructure.com%2fenroll%2fDDKRFH&c=E,1,tTp9PcqymrMiavvCPSqAxShCaul8TLFRLUMvrs1O95-E8Rmx73ZdUdLqye4_tf4JVhHRRmIHlgAWUsmuZ1N9QJuVfzq21RY5hFL8j1go7_1kpStoVT82yA,,&typo=1
This Canvas-based course was developed by the Utah State Board of Education MTSS Leadership team. It covers best practices for teams using the MTSS framework for problem-solving and decision-making.

UMTSS Canvas Course: Overview
https://linkprotect.cudasvc.com/url?a=https%3a%2f%2fuen.instructure.com%2fenroll%2fCWH49L&c=E,1,qlFzslKc8ZwXBOCj9sMB1DIeovP01n9Vai5kqi_evoDuQekcJ-JTNPmSK_8vMUhtd21M3x_CdLTqyPw44OJvQVWERS3ugeZ42FE0WVxJRTAhDpxRDN8,&typo=1
This Canvas-based course was developed by the Utah State Board of Education MTSS Leadership team. It is an introduction to the MTSS framework and its uses for problem-solving and decision-making.

UMTSS Canvas Course: Special Education and MTSS
https://linkprotect.cudasvc.com/url?a=https%3a%2f%2fuen.instructure.com%2fenroll%2fPDWPHA&c=E,1,AplK5_mUK9O8ICLnXDTAbXnpOxiSFcmNBjihvkCexBuXmPghJJuuZteEkQXyijB617mIY0e-_gNJgA5Rydd0BuTWN4GLF079z6MOQ9jUa1Un6g,,&typo=1
This Canvas-based course was developed by the Utah State Board of Education MTSS Leadership team. It focuses on using the MTSS framework to support learners who receive Special Education services.

BADGE EARNERS

Justin Andersen
Justin Andersen
Theo Anderson
Theo Anderson
Melody Andreasen
Melody Andreasen
Richard Gaisford
Richard Gaisford
Devin Healey
Devin Healey
Steven Loveland
Steven Loveland
Kimberly Martinez
Kimberly Martinez
Tiffanie Miley
Tiffanie Miley
Sarah Veto
Sarah Veto

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