Concurrent
Session I
10:15 - 11:15 |
|
Partnering With Districts to Ensure Data Quality; Taming the Data Monster: Steps to Implementing Statewide Data Standards
Cassel, Hurwitch, Snow, Stefanakos |
A Code of Ethics for Data People
Purwin, Cornman |
The Kids Count Community-Level Indicators (CLIKS) on Kids Database: A Tool for Examining Local Conditions of Child and Family Well-Being
Magarati, Loeb |
Concurrent
Session II
11:30 - 12:30 |
|
Data Flow End-to-End
Fadaoff, King |
Uncovering AYP Results—Providing Tools to Allow Schools to Drill Down Behind All Calculations
Eiland |
College Readiness Through Advanced Placement (AP) and Pre-AP Programs—An Analysis of Opportunities and Challenges in Washington State
Dittrich, Johnstone, Nagel, Tran |
Concurrent
Session III
1:45 - 2:45 |
|
Creating Student Information From Different Data Sets Using Probabilistic Record Linking
Wagner, Paulson |
Building a Customer-Focused BI System for the Iowa Education Community: EdInsight
Addy, Pennington, Carver |
Using Data Information to Benefit at Risk Students
Johnson, Furth |
Concurrent
Session IV
3:00 - 4:00 |
|
Beyond the 10 Essential Elements: What Else Does the DQC Survey Tell Us?
N. Smith |
Navajo Sovereignty in Education Act: Data Usage to Empower the Navajo Nation
White, Galvin |
A Conceptual Structure of an Educational Data System (EDS) and Business Agility: Developing for Change
Yap, Clinton, Corrigan |
Concurrent
Session V
4:15 - 5:15 |
|
E-Transcripts—The Road to Success
Gibson, Beecham, Brinson, Canada |
Developing a Web-Based Reporting System to Monitor Annual Dropout and Cohort Graduation Rates in a Large Public School System
Leo-Russell, Chavez de Daigle |
Washington’s Education Research and Data Center
Jenner, Came |
Concurrent
Session VI
10:00 - 11:00 |
|
Oregon's Regional Partnership LDS
Rodriguez, Breithaupt |
Public vs. Private Sector Leadership—Why Is It So Hard To Get Things Done?
Houde |
Improving Student Achievement and Decision-Making with Data
Nelson |
Concurrent
Session VII
11:15 - 12:15 |
Follow the Child—Analyzing Multiple Assessments and Indicators at the Aggregate or Individual Level
Koffink, Schwartz |
Colorado Growth Model
Domagala |
The Process of Data Quality: State Discussion with Alaska, Wyoming, Missouri, and California
Schutte, Edwards, Fadaoff, Ogle, Ligon |
Washington State’s K-20 Education Network
Mah |
Concurrent
Session VIII
1:30 - 2:30 |
School Districts and Intellectual Property Issues—Basics, Recent Developments, and How the Web Can Get You in Trouble
Miedema, Swan |
Technology-Supported Professional Development for Principals and School-Based Leaders
Stein, Nunn, Tracey |
Using State Data at the Local Level to Improve Student Achievement
Hocevar, Brown |
Collection of Evidence Data
Klenk, Mount |
Concurrent
Session IX
2:45 - 3:45 |
Workshop: Cracking the Glass Wall: Using Education Data for Research
Daughtery, Barfield |
Moving Education Forward in Kansas Through Partnerships
Gosa |
Use of Data to Monitor Progress to Improve Outcomes for Children and Youth With Disabilities
Tracey, Nunn, Stein |
What Types of Data Show the Successes of English Language Learners in Washington State?
De Leeuw |
Concurrent
Session X
4:00 - 5:00 |
Get Smart! Implementing Strategies to Prevent CHAOS From Taking CONTROL of Your Longitudinal Data System
S. Smith, Babcock, Magyar |
School Health Data: The Missing Link
Doyle |
Partners in Learning: Using Student Information Systems to Guide Instructional Practice
Blodgett |
Concurrent
Session XI
8:30 - 9:30 |
|
Framework for Data Driven Decision Making
Gibson, Heritage |
Data Quality Monitoring and Improvement Initiative at Everett Public Schools
Rice, Holtorf |
A View of Washington’s Assessment Data Applications
Dunster, Katims, Brown |
Concurrent
Session XII
9:45 - 10:45 |
|
Cohort Dropout Rates
Williams |
Collecting Data About K-12 Buildings: A Pilot Project in Washington State
Oman |
Using the NAEP Data Explorer
Mangiantini |
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