a look into the future-teachermatch

The Educator’s Professional Inventory

Presents:

Harnessing the Power of Research to Inform Data-Driven Hiring and Increase Student Achievement

The Science of Hiring Excellent Teachers

Healthy Pool of Applicants

Predictive Screening (EPI)

Strong Pool of Qualified Candidates

Rigorous Job Order Management Superior Hired

Pool Analytics

1 2 3

4

5

6 Benchmarking & Feedback for Swift Action

TeacherMatch delivers one glance analytics and actionable insights on all vital steps of hiring excellence so decision makers can focus on key issues

Teachers Are the Most Important Factor

• Yet very little effort has been placed into making sure they are hired with scientific precision.

• Can you predict teacher candidate performance? Yes!

• EPI is the first and only comprehensive tool that predicts the impact that teachers will have on student achievement. And, because of advanced machine learning capabilities, it gets better and better the longer it is in use.

Linking the Human Capital Chain

Meta-Analysis of Hundreds of Studies An in-depth review of the literature yields four areas that matter most.

Our Research Consortium

TeacherMatch Nationwide Research Sample deliberately varied by location, school type, size, and demographics.

Automating Sophisticated Analytics

Hierarchical Linear Modeling: Indicates which items on the EPI are most predictive of student growth.

Technology Platform: Uses HLM and VAM results to deliver the EPI to assess candidates and report on their results.

Value-Add Modeling: Used as a Dependent Variable in our HLM model; our operational definition of “teacher effectiveness.”

EPI is truly an inter-disciplinary undertaking. We bring together specialists from multiple fields who normally do not dialogue.

The System Learns Over Time

The addition of SEM along with R on the technology side will enable a Computer Adaptive Test (CAT) that will allow for a real-time EPI that is context specific right down to the school and classroom level.

Hierarchical Linear Modeling

Technology Platform

Value-Add Modeling

Adaptive EPI

Structural Equation Modeling

Candidate Grid = Actionable & Fast Now you can interview only the candidates most likely to be an effective teacher.

Translating Score to Likelihood of Student Growth Value-Add Modeling (VAM) removes factors that are not under the teacher’s control.

VAM Distribution Think of this as a distribution of teachers’ ability to deliver student growth.

Essential Elements of Effective Teaching

Planning for Successful

Outcomes

Creating a Learning

Environment

Instructing Analyzing and Adjusting

Student Growth Measured by the progress that each student makes

on standardized assessments from year to year.

Two Years of Scientifically Based Hiring The TeacherMatch personalized Professional Development Report offers teachers specific suggestions on leveraging strengths and opportunities identified by the EPI. Below is an example of a Professional Development Report that a teacher would receive:

Nat

iona

l Nor

m S

core

Predicted VAM Growth

High

High Low

Outperform

Average

Underperform

Candidate Norm Score And Predicted VAM Growth

Norm Score 88.01 – 100

77.01 – 88

66.01 – 77

55.01 – 66

44.01 – 55

33.01 – 44

22.01 – 33

11.01 – 22

0.01 – 11

0