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Using Naviance Data to Drive College & Career Readiness

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Using Naviance Data to Drive

College & Career Readiness

Krystal Ferguson

K-12 Program Director

Agenda

Overview of Data Driven

Decision Making

What, Why, & How

Focusing on Outcomes

Building a Data Culture

Overview of Data Driven

Decision Making

DDDM

D3M

Data Driven Decision Making is …

The collection and analysis of data to make

decisions that improve student success.

Continual evaluation accompanied by

incremental changes.

Translation of data into knowledge and

actionable strategies.

Collaboration and communication throughout

the school, district and community.

6

The Educator’s Perspective

+ +

Track & Measure

Progress

Engage Students &

Families

Make Data-Driven

Decisions

Data Collection & Analysis

7

“The real breakthrough in increasing student

achievement is to transform information into

knowledge. Knowledge emerges through a

collaborative process as teachers and

administrators engage in conversation.” Ronald S. Thomas

Director of the Center for Leadership in Education at

Towson University

What, Why, & How

Theme 1: Use data to make decisions

Data

Decisions

What we want to happen

Helpful

Data

I need

to…

What happens in reality

Teacher

Evaluations

Partner

Assessments

SAT

GPA

ACT

Attendance

Activities

???

I need

to…

Takeaways

Use reports to determine professions/careers to target

Careers (Career Cluster) by Student

Students by Career (Career Cluster)

Use assessment results to organize professions

Holland Interest Code (Assessment Status)

Career Cluster Finder

Use survey builder to collect feedback

I need

to…

Takeaways

Use reports to determine which colleges to target

Prospective Summary

Summary Data

Application By College/Application By Student

Use batch email to request participation from college contacts

Use batch email to promote event and target specific students

Use SuperMatch to help students navigate the fair

Use survey builder to collect feedback

Focus on Outcomes

Theme 2: Focus on outcomes

Outcome

KPI

KPI

KPI

Outcome/Goal: 10% increase in students attending 4 year colleges

after high school

Activities: • Complete Career Interest Profiler

• Complete SuperMatch College Search

• Add at least 3 colleges to prospective list

• Review options for financing post-secondary education

• Custom surveys

• For each activity, determine: - Staff: Who is responsible?

- Students: Which grade levels?

- Frequency: When is this measured and how often?

Data Points Measured: • % who complete Holland Interest Code assessment

• % who identify careers of interest

• % who identify at least 3 colleges of interest

• % who report they understand the links between the links between career

preparation needed, college major and projected income

• % who became aware of the cost of postsecondary institutions and report

they understand available options to finance college costs

Theme 2: Focus on outcomes

Collect Data: Success Planning

Use Success Planning to assign tasks that

improve career and college data.

Link tasks to activities where possible.

• For example, instead of manually marking that

a student completed a workshop, create a

post-workshop survey and assign the survey

as a task.

• Utilize the built-in tasks.

Schedule planner reports to regularly assess

progress.

Planner Reports

School Names

Custom Surveys

Your Turn…

Outcome/Goal:

Activities: • For each activity, determine:

- Staff: Who is responsible?

- Students: Which grade levels?

- Frequency: When is this measured and how often?

Data Points Measured:

Theme 2: Focus on outcomes (Your Turn)

Building a Data Culture

DDDM is a culture

To be truly effective, DDDM

needs input from everyone.

Everyone needs to see value

and be invested in collecting

and analyzing data.

Staff need to openly

collaborate and take action

based on data.

In some cases, this requires a

huge attitudinal shift. Be

prepared to facilitate.

Involve multiple staff

members from various roles

in the development of data

processes.

Collaborate to make the best

possible decisions.

Use data for decisions and

information, not just

compliance.

Building a Data Culture

Building a Data Culture

Get relevant input from

students.

Help students understand

data driven decision

making.

Bolster college going

culture.

Supplement college and

career planning activities.

Questions?