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22nd Annual MIS Conference 2009


Agenda at a Glance—Page 2


Session F G H I
Wednesday, February 18, 2009
Opening Session—8:30 - 10:00
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 
Thursday, February 19, 2009
General Session: Barriers, Incentives and Lessons in Establishing P–20/Labor Systems—8:30 - 9:45
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
Friday, February 20, 2009
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
Color Key to Topical Tracks  Statewide
Data
Systems
(SDS)

Data Use/
Data
Standards

Data
Quality
Other Longitudinal
Data
Systems
(LDS)
Washington
State


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