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22nd Annual MIS Conference 2009

List of Topical Tracks

Data Use/Data Standards:

I-CUsing Census Data Within the School District
I-DEvery School Day Counts
I-EPK-12 Data Model, Handbooks Online, and SIFA: What They Are and How They All Fit Together
II-AUsing Data to Raise Standards and Classroom Academic Performance
II-CThe NCES Teacher Compensation Survey in 18 States
III-CHow the SLDS are Impacting Data Use
IV-CReality Check: How FERPA Guidelines are Handled by All Levels of the Education System
IV-HNavajo Sovereignty in Education Act: Data Usage to Empower the Navajo Nation
V-CUse of Educational Statistics Within the U.S. Army Recruiting Command
V-HDeveloping a Web-Based Reporting System to Monitor Annual Dropout and Cohort Graduation Rates in a Large Public School System: Integrating Business Processes and Technology
VI-CGreat Expectations
VII-AData Use for Program Evaluations and Sub-group Analyses in Louisiana
VII-CExamples of How OSEP Uses SEA-Level Special Education Data for Program and Policy
VIII-CThe American Community Survey School District Custom Tabulation
VIII-HUsing State Data at the Local Level to Improve Student Achievement
IX-AUsing Transcripts to Improve College Readiness: A Secondary/Postsecondary Partnership
IX-CQuantifying Issues That Affect the Health, Safety, and Academic Success of Students
IX-FWorkshop: Cracking the Glass Wall: Using Education Data for Research
IX-HUse of Data to Monitor Progress to Improve Outcomes for Children and Youth With Disabilities
X-AUsing Data: Lessons Learned From The Broad Prize for Urban Education
X-CUsing Data to Improve Student Achievement: Characteristics of Data-Driven Districts and What States Can Do
X-FWorkshop: Cracking the Glass Wall: Using Education Data for Research
XI-ABeyond Descriptives: Effective Use of Data Systems to Improve Achievement
XI-DBuilding a Standards-Based Data Warehouse
XII-CFrom Data to Information: Perspectives on Policy and Practice
XII-DUsing GIS to Example Spatial and Demographic Trends in High School Dual Enrollment and Advanced Science and Mathematics Coursetaking


Data Quality:

II-HUncovering AYP Results—Providing Tools to Allow Schools to Drill Down Behind All Calculations
III-DThe Forum Guide to Metadata
V-DYellow Brick by Yellow Brick: Using a Professional Development Program to Strengthen Data Quality in Kansas
VII-HThe Process of Data Quality: State Discussion with Alaska, Wyoming, Missouri, and California
IX-DGetting Student-Teacher Linkages Right!
X-D60 Million Ways to Data Quality
XI-HData Quality Monitoring and Improvement Initiative at Everett Public Schools


II-EProgress and Challenge—An Update on EDFacts Submissions Across the Country and How States Are Using SLDS to Improve Business Process
III-EPreparing for an All—EDFacts Consolidated State Performance Report
IV-EData Governance—Best Practices
V-EImplementing Your Adjusted Cohort Graduation Rate by 2010-11
VI-ECollecting and Reporting NCLB Assessment Data
VII-EData Quality—Internal Control Assessment
VIII-EUsing EDFacts as Part of a Data Validation Process
IX-EOperationalizing EDFacts Part I
X-EOperationalizing EDFacts Part II
XI-EThe Process for Metadata Collection


II-DUsing Geographic Information Systems in Educational Analysis—NCES School District Demographic System
VIII-DSchool District Title I Estimates: Boundary Updates and Methodology From the U.S. Census Bureau
X-BIssues Relating to High School Dropouts, Completers, and the NCES Common Core of Data: Collecting, Processing, Protecting, and Publishing


Longitudinal Data Systems (LDS):

I-GPartnering With Districts to Ensure Data Quality; Taming the Data Monster: Steps to Implementing Statewide Data Standards
II-GData Flow End-to-End
III-GCreating Student Information From Different Data Sets Using Probabilistic Record Linking
IV-GBeyond the 10 Essential Elements: What Else Does the Data Quality Campaign (DQC) Survey Tell Us?
V-GE-Transcripts—The Road to Success
VI-GOregon's Regional Partnership Longitudinal Data System
VII-GColorado Growth Model
VIII-GTechnology-Supported Professional Development for Principals and School-Based Leaders on Using Business Intelligence Tools for Making Quality Decisions
IX-GMoving Education Forward in Kansas Through Partnerships
X-GGet Smart! Implementing Strategies to Prevent CHAOS From Taking CONTROL of Your Longitudinal Data System
XI-GFramework for Data Driven Decision Making
XII-GCohort Dropout Rates


I-HA Code of Ethics for Data People
VI-HPublic vs. Private Sector Leadership—Why Is It So Hard To Get Things Done?
XI-BAnalysis of Indiana's Statewide e-Transcript System—Past, Present, and Future
XII-AMaking Mole Hills Out of Mountains of Data: Professional Development to Survive the Data Deluge
XII-HCollecting Data About K-12 Buildings: A Pilot Project in Washington State

Schools Interoperability Framework (SIF):

I-BTaking SIF Certification to the Next Level
II-BUTREx—Data Exchange Using SIF Interoperability
III-BWorkshop: Moving Data Between and Across Entities for a Comprehensive PK-20 Student Record, Part I
IV-BWorkshop: Moving Data Between and Across Entities for a Comprehensive PK-20 Student Record, Part II
V-BChanging Times, Changing Policies, Changing Funding
VI-BSIF Getting the Biggest Bang for Your Buck
VII-BReal Time Data Interoperability to Improve Your Data Quality
VIII-BWyoming e-Transcript Solution: Wyoming Transcript Center
IX-BWyoming Statewide Data System: WISE


Statewide Data Systems (SDS):

I-AEDEN and SIRS: A Flexible Marriage of Many
III-HBuilding a Customer-Focused BI System for the Iowa Education Community: EdInsight
IV-ABuilt and Re-built for Success!
IV-DEureka! California Finds Gold Using Electronic Transcripts
V-AManaging Data Systems Security
VII-DGeorgia's P-20 Longitudinal Data Systems: What a Long Strange Trip It's Been
VII-FFollow the Child—Analyzing Multiple Assessments and Indicators at the Aggregate or Individual Level
VIII-AFrom the School House to the State House—Data Solutions for All
X-HSchool Health Data: The Missing Link

Washington State:

I-IThe Kids Count Community-Level Indicators (CLIKS) on Kids Database: A Tool for Examining Local Conditions of Child and Family Well-Being
II-ICollege Readiness Through Advanced Placement (AP) and Pre-AP Programs—An Analysis of Opportunities and Challenges in Washington State
III-AInteractive Fiscal Reporting in Washington State
III-IUsing Data Information to Benefit at Risk Students
IV-IA Conceptual Structure of an Educational Data System (EDS) and Business Agility: Developing for Change
V-IWashington's Education Research and Data Center
VI-IImproving Student Achievement and Decision-Making With Data
VII-IWashington State's K-20 Education Network
VIII-FSchool Districts and Intellectual Property Issues—Basics, Recent Developments, and How the Web Can Get You in Trouble
VIII-ICollection of Evidence Data
IX-IWhat Types of Data Show the Successes of English Language Learners in Washington State?
X-IPartners in Learning: Using Student Information Systems to Guide Instructional Practice
XI-IA View of Washington's Assessment Data Applications
XII-IUsing the NAEP Data Explorer