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Professional Development in Embedded Instruction A previous version of this presentation was delivered at the annual meeting of the American Educational Research Associa tion April 201 1 New Orleans, LA Funded by the Institute of Education Sciences R324A070008 Mary McLean, Ph.D. - University of Wisconsin-Milwauk ee Patricia Snyder , Ph.D. - University of Florida Susan Sandall, Ph.D. - University of W ashington Mary Louise Hemmeter , Ph.D. - V anderbilt Univ ersity
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Professional Development in Embedded Instruction

Apr 08, 2018

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Page 1: Professional Development in Embedded Instruction

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Professional Development in EmbeddedInstruction

A previous version of this presentation was delivered at the annual meeting ofthe American Educational Research Association

April 2011New Orleans, LA

Funded by the Institute of Education SciencesR324A070008

Mary McLean, Ph.D. - University of Wisconsin-MilwaukeePatricia Snyder, Ph.D. - University of Florida

Susan Sandall, Ph.D. - University of Washington

Mary Louise Hemmeter, Ph.D. - Vanderbilt University

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Embedded InstructionMulti-component approach to provideintentional and systematic instruction

on priority learning targets

during typically occurringactivities, routines, and transitions

to supportchild engagement and learning

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EC PD “Need” Relevantfor Present Study

• Descriptive studies have shown manyearly childhood practitioners do not feel – Competent

– Confident• To meet the needs of young children with

disabilities in inclusive learning contexts – Access – Participation

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Theory of Change: Abbreviated

Teachers’

Frequent

and

Accurate

Use of

Embedded ‐

Instruction

Practices

Increased Child

Learning

Opportunities

Child

Engagement

and Learning

Workshops(high ‐ quality/

interactive)

Coaching(on ‐ site coaching

or self ‐ coaching)

P D I n t er v en t i on

Tool Kit(Multi‐ media

materials)

ContextualVariables

Instructional“Quality”

Instructional“Effectiveness”

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Potential Efficacy Study

• Conducted in FL, WA, and WI

• 36 preschool teachers

– 3 sites – 11 to 13 teachers per site

• 106 children across 3 sites – 2-3 “target” children with disabilities in each

teacher’s classroom

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Design• Teachers were randomly assigned to one of

three conditions at each site – Tools for Teachers workshops plus on-site coaching – Tools for Teachers workshops plus self-coaching – Wait-list comparison (control)

• Proximal outcome measures: 5 occasions – Before and after workshops – 2 nd month and 4 th month of coaching

– After intervention

• Distal outcome measures: pre and post – Before workshops

– After intervention

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Teacher InformationOn ‐ site

Coaching

(n = 12)

Self ‐ Coaching(n = 12)

Control(n = 12)

Female 12 12 11Race White/Non ‐ Hispanic

African American

Hispanic

Other a

8 10 9

1 0 2

1 1 0

2 1 1

Education BachelorMaster

6 9 8

6 3 4b

ECSE

Trainc

YesNo 9 8 92 4 3

Yrs.Experience in EC

M = 9.3 M = 6 M = 7.5

SD = 6.0 SD = 4.0 SD = 4.2

8

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Child Information

On ‐ site Coaching

(n = 35)

Self ‐ Coaching

(n = 36)

Control

(n = 35)

Gender30 males5 females

25 males11 females

27 males8 females

Mean Age in Mos.(SD)

48.6(8.7)

46.8(8.1)

52.7(8.4)

Mean ABILITIES Index score (SD)

1.8

(.5)

1.7

(.4)

1.7

(.6)

9

All participating children were identified with disabilities thatqualified them to receive education and related services underSection 619 of IDEA.

All children enrolled in the study had IEP

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Primary Research Questions• What is the relationship between exposure to PD intervention and

teachers’ frequent and accurate use of embedded-instructionpractices? – Developing quality learning targets (LTRS) – Implementing planned learning opportunities (EIOS) – Delivering complete learning trials (EIOS)

• Do scores on standardized measures of key preschool indicators(pre-academic, literacy, language, and social-emotional behavior)differ among children whose teachers were involved in each of the

three experimental PD conditions?

• What are teachers’ perspectives about embedded instruction andthe professional development they received?

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• Teachers in both PD experimental conditions received: – 16.5 hours of workshops

– Implementation guides and materials – Digital video camera

• On-site coaching – Observation, debrief, and email feedback – Mean # sessions = 16 – Mean duration of observation = 73.9 min ( SD = 19.5) – Mean duration of debrief = 39.3 min ( SD = 12.1)

• Web-based coaching*• Wait-list control teachers received workshops,

implementation guides, digital video camera and accessto web site at end of study

Experimental Intervention

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• Workshop Implementation Guides

• Workshop Fidelity Checklist – 96.8% (range = 93.6% -99.4%)

• Instructional Strategies Used by Trainer

• Time Allocated versus Time Spent

Procedural Fidelity:Workshops

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• Fidelity self-coaching orientation session

– 97.2% (range 91.7%-100%)

• Fidelity weekly e-mail reminder to teachersin the self-coaching condition – 100%

Procedural Fidelity:Self-Coaching

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Select Findings

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Coaching Strategies: Observation

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Coaching Strategies: Debrief

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Self-Coaching and Website Use# of visits

every 2weeks a

Average timeon site pervisit b (min)

# of actionplans

submitted c

# of formsuploaded to

the site

Self-coaching

videosubmitted

High Users

Teacher A 1.6 36 3 9 Yes

Teacher B 1.6 19 4 16 YesModerateUsers

Teacher C .6 54 0 4 No

Teacher D 1.2 19 1 0 Yes

Teacher E .6 42 1 0 Yes

Teacher F .4 13 1 0 Yes

Teacher G .4 34 2 1 YesTeacher H 1.2 27 0 0 No

Teacher I .2 42 0 6 No

Low Users

Teacher J 0 n/a 0 0 No

Teacher K 0 n/a 0 0 No18

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Teacher Implementation Data

Note. LTRS Total Score represents percentage of quality indicators. EIOS scores measured as ratebased on number of trials implemented for a child on one learning target every 15 min. On average,

teachers implemented trials for 2-3 children with 2-3 learning targets for each child.* Refers to statistically significant main effect at p < .05

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EIOS: Teacher Implementation

“Embedded” Complete Learning Trials

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Social Validity Data:

PD Intervention

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• Limitations – A priori power analyses based on alpha .20 – Standardized and decontextualized child outcome measures – Metrics used to evaluate “dosage” of self-coaching

• Implications – High-quality workshops sufficient for improving quality

of learning targets – On-site coaching to improve frequency and accuracy

of embedded instruction learning trials

– Different implementation supports for differentcomponents of embedded instruction – Social validity data strong, particularly for workshops

plus on-site coaching

Limitations and Implications