Effects of the My Teaching Partner Intervention in Secondary School Classrooms Joseph P. Allen Robert C. Pianta University of Virginia Co-Collaborators: Amori Mikami Anne Gregory Project Team: Chris Hafen Sharon Deal Judith Wasserman Rachel Boren Janetta Lun
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Effects of the My Teaching Partner Intervention in Secondary School Classrooms
Effects of the My Teaching Partner Intervention in Secondary School Classrooms. Joseph P. Allen Robert C. Pianta University of Virginia. Co-Collaborators: Amori Mikami Anne Gregory. Project Team: Chris Hafen Sharon Deal Judith Wasserman Rachel Boren Janetta Lun. Context. - PowerPoint PPT Presentation
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Effects of the My Teaching Partner Intervention in Secondary School Classrooms
Joseph P. AllenRobert C. Pianta
University of VirginiaCo-Collaborators:Amori MikamiAnne Gregory
ContextNumber of Secondary School Students in U.S.: 24
million
Number of Secondary School Classesbeing taught each week 6 million
% of 9th graders who won’t finish High school by the end of 12th grade 25%
Number of programs in ‘What Works’ Clearinghouse with demonstrated efficacy improving teaching quality enough to improve student achievement in these classrooms
0
Key Questions• Can we identify teacher-student
interaction qualities that predict student engagement and achievement?
• Can we change these qualities?• Will changes lead to sustainable student
achievement gains?• What are the mechanisms of change?
Key Questions• Can we identify teacher-student
interaction qualities that predict student engagement and achievement?
• Can we change these qualities?• Will changes lead to sustainable student
achievement gains?• What are the mechanisms of change?
Evaluation Design• 43 teachers within 8 schools (640 students)
(The control condition in an RCT).
• 1 focal classroom selected per teacher
• Predicting Future Achievement after Covarying Baseline Achievement Test Scores
• Teacher Demographics:– 64% female– 83% White, 8% African-American; 6% Mixed-Ethnicity; 3% Other– 54 middle school, 34 high school– 35% BA degree; 65% at least a year of course work beyond BA– Average 8 years of teaching experience
Classroom Characteristics• School type: 39% High school;
Instructional Learning Formats .22**Quality of Feedback .09
Composite of Significant Dimensions Above .32***
Key Questions
✔Can we identify teacher-student interaction qualities that predict student engagement and achievement?
• Can we change these qualities?• Will changes lead to sustainable student
achievement gains?• Why?
MyTeachingPartner Overview• Consultant and teacher work together
using the CLASS-S in cultivating: – Observation– Reflection– Development of knowledge and expertise
Classroom Observation Teaching Practice
Knowledge Expertise Support
The Steps of the Consultancy
MTPS Website
www.mtpsecondary.net
Detailed Video Examples
www.mtpsecondary.net
Key Questions
✔Can we identify teacher-student interaction qualities that predict student engagement and achievement?
• Can we change these qualities?• Will changes lead to sustainable student
achievement gains?• What are the mechanisms of change?
Evaluation Design88 classrooms
45 Tx. 43 Control(Classrooms Randomized within school)
2237 Students
Assessed Across 2 Years
Evaluation DesignTreatment group:
Year 1:– Introductory Workshop (late summer)– Ongoing consultancy– ~ 2 days total in-service timeYear 2:– Booster Workshop (late summer) only + Web site
access• Control group:
Usual in-service practice.
Intervention Effect on Change in Classroom Qualities
Intervention Target January MarchApril/May
Overall Teacher-Student Interaction Composite
ns
Student Engagement ns
Intervention Effect on Change in Classroom Qualities
Intervention Target January MarchApril/May
Overall Teacher-Student Interaction Composite
ns ns
Student Engagement ns ns
Intervention Effect on Change in Classroom Qualities
Intervention Target January MarchApril/May
Overall Teacher-Student Interaction Composite
ns ns .19*
Student Engagement ns ns .34*
Year 1 Change in OverallTeacher-Student Interactions
MTPS is predicting increases in End of Course Achievement
Tests
Year 2Intervention Effects on Achievement
• Real-world effect size = .22 SD increment in Achievement Test scores • Average ‘Bump’ of students in MTP from 50th to 59th percentile in
achievement• If effect applies equally at all parts of achievement spectrum (as
appears to be the case): a .22 SD boost would reduce failure rates from:
14% without the intervention to
10% with it
Reducing the number of failing students each year by 29%
*** This occurs in the year AFTER the intervention year (i.e., sustainability), across diverse subject matter/content areas.
Key Questions
✔Can we identify teacher-student interaction qualities that predict student engagement and achievement?
✔Can we change these qualities?
✔Will changes lead to sustainable student achievement gains?
• What are the mechanisms of change?
A Preliminary Mediational Analysis
“My Teaching Partner”
Intervention
Intervention
Observed Change in Student
Achievement
*
Environmental Outcome
A Preliminary Mediational Analysis
“My Teaching Partner”
Intervention
InterventionIntervention
Target
Observed Change in Student
Achievement
Environmental Outcome
??
Mediational Analyses• Assessed via Multi-level Structural Equation
Modelling, followed up via parametric bootstrapping analysis (Preacher et al., 2010)
• Focus on target of intervention (Teacher-student interactions assessed via CLASS-S)
• Using Centered/Standardized data for ease of interpretation.
“My Teaching Partner”
Intervention
InterventionIntervention
TargetStudent
Outcome
.37** .16**
Change in Student Achievement
MTP-S Effect as Mediated via Observed Interactions
Initial Model (Simple Direct Effects)
.12*
Observed Teacher-Student
Interactions
“My Teaching Partner”
Intervention
InterventionIntervention
Target
.06* *
StudentOutcome
.37** .16**
Change in Student Achievement
MTP-S Effect as Mediated via Observed Interactions
.06 ns
Initial Model (Simple Direct Effects)Final Model (Including Mediated Effect)
.12*
Observed Teacher-Student
Interactions
Limitations• Design only supports causal interpretations for outcomes, not
for mediating processes with analyses thus far.
• Some Attrition Took Place (though it was unrelated to the intervention in every possible way we could test).
• Modest statistical significance with small sample
Conclusions• We CAN identify elements of the classroom environment that predict
student achievement.
• We CAN change these environmental factors.
• If we do, student achievement will change as well, eventually.
• Changes can be sustained over time and in new classrooms, post-intervention.
• We can identify potential mechanisms of change linked to the intervention.
• Which has implications for cost effectiveness…
*BOE = Back of Envelope
Potential Significance – Costs vs. Benefits(BOE* Calculation)
Resources per classroom Estimated Cost
20 Teacher hours No additional cost to system (in lieu of Regular In-service)
1 Teacher-consultant per 20 teachers Maximum of $3,500 per teacher including benefits (Potentially offset by ongoing teacher supervision personnel costs)
Video equipment $200 per teacher
TOTALS: Maximum of $3,700/23 children = $160/child (i.e., < 2% of annual per pupil expenditures) **
BenefitsAverage ‘Bump’ in achievement of ALL students
from 50th to 59th percentileReduction of 1 course failure per classroom
(**Results may apply to multiple classrooms taught by a teacher)
MyTeachingPartner Secondary
Replication is ongoing with the support of IES
Further information available at:www.myteachingpartner.net