Supporting Positive Behaviour in Alberta Schools
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Transcript of Supporting Positive Behaviour in Alberta Schools
D.M. Souveny Data Driven Decision Making
Supporting Positive Behaviour in Alberta Schools
Dwaine M SouvenyCentral Alberta Regional Consortium
2010-2011
Supporting Positive Behaviour in Alberta SchoolsKey Element # 9
Data Driven Decision Making May 17, 2011
Dwaine M SouvenyCentral Alberta Regional Consortium
2010-2011D.M. Souveny
Data Driven Decision Making
D.M. Souveny Data Driven Decision Making
Supporting Positive BehaviourIn Alberta Schools (2008)
A School Wide Approach
A Classroom Approach
An Intensive Individualized Approach
D.M. Souveny Data Driven Decision Making
Supporting Positive Behaviour in Alberta Schools
10 Key Elements
Key Element 1: Positive RelationshipsKey Element 2: Learning EnvironmentKey Element 3: Differentiated Instruction (DI)Key Element 4: Understanding Student BehaviourKey Element 5: Social Skills InstructionKey Element 6: Positive ReinforcementKey Element 7: Fair and Predictable ConsequencesKey Element 8: Collaborative Teamwork/Leadership and the Wrap Around Process
Key Element Nine: Data-driven Decision Making
D.M. Souveny Data Driven Decision Making
Key Element #9: Data-driven Decision Making
Questions to consider:1. How do we know whether the strategy is
being effective?2. What measurement tools will be used to
record the desired/target behavior?3. How will the family play a role in this
process?
D.M. Souveny Data Driven Decision Making
“Schools need reliable evidence that the new actions that they are taking are truly making a positive difference and are resulting in measureable outcomes”
School Wide Approach, pp. 74
D.M. Souveny Data Driven Decision Making
Why Collect DataWhat are some reasons for collecting data?
• Clarify what problem behaviours are occurring• Understand the purpose and context of specific
behaviours• Establish priorities and school wide goals• Identify possible strategies and techniques to use
based on– Preventing problems– Reacting to situations when they occur
• Evaluate success
D.M. Souveny Data Driven Decision Making
Gathering Data to Understand Student Behaviour
Functional Behaviour AssessmentIt is essential to understand the purpose or
function the behaviour is serving the individual, as well as the context in which that
behaviour occurs.
D.M. Souveny Data Driven Decision Making
Functional Behaviour Assessment
• Assessment involves examining both antecedents and consequences to understand their effects on behaviour. – Antecedents are any situations, events, demands
or expectations that proceed or trigger problem behaviours.
– Consequences are any events or conditions which follow behaviour.
D.M. Souveny Data Driven Decision Making
AntecedentsWhat came before the behaviour
• Who was involved?• When did the behaviour occur?
What are some times when behaviour challenges often occur?
• Where did the behaviour occur?Where do behavioural challenges often occur?
• What happened just before?What are some typical “triggers” for challenging
behaviour?
D.M. Souveny Data Driven Decision Making
Behaviour
What is the behaviour?• How frequently does it occur?• What is it’s intensity?• What is it’s duration?
D.M. Souveny Data Driven Decision Making
FrequencyKISS Principle
Event RecordingThe number of times a discreet behaviour occurs• Using
– Checklists– Your pockets– Wrist meters
Interval recording Record the behaviour if it occurs in a set interval• Time sampling• Yes/no
D.M. Souveny Data Driven Decision Making
Intensity
How strong was the behaviour?• Loud• Painful
On a scale of 1-10…
D.M. Souveny Data Driven Decision Making
Duration recording
How long did the behaviour last?
Use a stop watch …or better yet – your phone!
D.M. Souveny Data Driven Decision Making
Consequences
What happens following the behaviour?
Desired ConsequencesUndesired consequences
Are the consequences actually desired or undesired?
D.M. Souveny Data Driven Decision Making
Data Driven Decision Making
1. Select a problem behaviour2. Chose a data system that is effective and efficient3. Collect the data4. Summarize and assess the data5. Use this analysis to
• Identify the function of the behaviour• Determine desired behaviours• Select teaching strategies • Develop an effective behaviour support plan
ScenarioWhat are the ABCs
According to the teacher, Peter Player is always playing is class. When he was observed it was noted that during math class Peter did 5 of the questions and then started talking with the person behind him. When this occurred his teacher went over and told him to get back to work. This appeared to occur frequently with Peter doing some of his work, then going off task, being told to do his work and so on… Peter was “on task” 15 minutes of the 35 minute class.
D.M. Souveny Data Driven Decision
Making
D.M. Souveny Data Driven Decision Making
Collect Data
D.M. Souveny Data Driven Decision Making
Determine Progress
D.M. Souveny Data Driven Decision Making
Celebrate success
• For the student• For the team: Of the goals/strategies being used• For the school
D.M. Souveny Data Driven Decision Making
Using the ABCsFor Success
Analyze one of the behaviours within your classroom and from the analysis develop a strategic approach
Supporting Positive Behaviourin Alberta Schools
….stay tuned& invite a friend
Next time: Making a Plan: Putting it all together
Targeting supportsCollaborating togetherIPPs and MAPs
June 21, 2011
Email or phone me 403 506 [email protected]. Souveny
Data Driven Decision Making