1. Discovery of Research Findings

2. What types of data do you currently have for your school?
NOTE:
This does not mean that you have this data organized or easily accessible/readable. That part can come later

3. Table Discussion (5 Minutes)
What types of data do you current have for your school and/or students?

4. Boston College - Professional Development
Brebeuf Jesuit Data Types:
Demographic Data
Registration
Classroom Data
Semester grades
Test scores (AP, ISTEP, Entrance)
Recorded by counselors
Constituent Survey Data:
NAIS, ISM, ISACS Archdiocese, Province Educational Technology University Studies
Curricular Assignments
By teachers
End-of-Course Perception
By students
Survey and Qualitative
School Generated
Boston College - Professional Development
Brightbytes -
Education Technology Prep

5. Afternoon Preview!
We will discuss tips and trick to make your data useful and accessible in the afternoon session

6. The Brebeuf Jesuit Test Case
Question:
Given the feedback we have received, is there an ‘achievement gap’ element at play?
What do we want to know about?
Question
Did we answer the question?
What did we miss?
What’s next?
Review the Data
Create a Falsifiable Hypothesis
Hypothesis
Use technology tools and analytics to answer the hypothetical question
Crunch the Numbers
Sort, organize, and unify the data that you will use
Clean the Data

7. Question HYPOTHESIS Cleaning Crunching Review
Falsifiable
Clear
Controllable (variables)
Answerable
There is no statistical difference in grade distribution based on Gender or Race at the school

8. Cleaning and Crunching
How exciting is this afternoon session going to be?!?

9. Review And Identify New Questions
There is a statistically significant disparity in achievement by GENDER (Girls are doing better than boys) and by Race (Significant differences with regard to African American and Hispanic grades)
Is there a difference …
by academic subject?
by grade level?
by Honors v. Non-Honors?
In the same class over time?