Got Data? Make It Work For You Illinois Educational Technology Conference Dr. Anthony Kroll and Mrs. Kathryn Serby November 19, 2009.

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Presentation transcript:

Got Data? Make It Work For You Illinois Educational Technology Conference Dr. Anthony Kroll and Mrs. Kathryn Serby November 19, 2009

Objectives Stimulate thought for wider implementation of learning standards and common assessments Demonstrate data collection and data reporting possibilities to assist in informing instruction Provide practical considerations and tips 2 © Mundelein High School

Long Range “Plan On A Page” states we will: Guarantee and support a standard set of academic and social-emotional goals for all students to experience through identified power standards, instructional objectives, and common assessments Utilize the data warehouse to track and review individual student performance 3 © Mundelein High School

Our Goal = Increased Student Achievement Higher PSAE scores Lower failure rates Mastery learning 4 © Mundelein High School

Curriculum Alignment— A Paradigm Shift Create Power Standards and Instructional Objectives (linked to Illinois Learning Standards) Create common assessments Provide ongoing staff development Focus becomes content and skill mastery 5 © Mundelein High School

Data Warehouse Data collection and data reporting User-friendly and web-based Works hand-in-hand with curriculum alignment process Accessible to teachers and administrators Communicates with Student Information System Limited access when desired (password protection) 6 © Mundelein High School

7 Create Common Assessments Bubblesheets Questions and Bubbles Rubrics Online Data Entry Online Testing Scan Results to p4r server Create Power Standards/Instructional Objectives All P/S and I/O’s are created online Can be viewed by staff P/S and I/O can be flagged as approved/draft Students take assessment Paper and Pencil Online Power Standard/Instructional Objective Reports Which students mastered/did not master I/O’s Which I/O’s were not mastered District Student Information System partners4resultsdata warehouse Data Flow =Process Flow = Legend Faculty Data Analysis Meetings Review student achievement data Create and work toward goals to improve instruction Informed instruction © Mundelein High School Curriculum Alignment Process Overview

PS/IO Specifics Connection of Power Standards to state standards and College Readiness Standards Connection of Instructional Objectives to Power Standards Connections of common assessments to Instructional Objectives PDF Reports 8 © Mundelein High School

Our Goal… Curriculum Alignment: All courses have Power Standards and Instructional Objectives identified in the data warehouse by December Common assessments in all courses administered through the data warehouse by May, © Mundelein High School

Data Collection Assessment types

Exam Types Currently used: Multiple choice Performance based rubrics Extended response/ Short answer 11 © Mundelein High School

Multiple choice 12 © Mundelein High School

Bubble sheets 13 © Mundelein High School

Exam Types Currently used: Multiple choice Performance based rubrics Extended response/ Short answer 14 © Mundelein High School

15 © Mundelein High School

Instructional Objectives 16 © Mundelein High School

Exam Types Currently used: Multiple choice Performance based rubrics Extended response/ Short answer 17 © Mundelein High School

18 © Mundelein High School

Exam Types Currently used: Multiple choice Performance based rubrics Extended response/ Short answer On the horizon: Performance grading (mathematics) Fitness Benchmarking 19 © Mundelein High School

Performance Grading 20 © Mundelein High School

Where we are today… Multiple versions for assessments In one year, we have Administered 66 different assessments 11,635 student exams Online grading Surveys Standardized exams 21 © Mundelein High School

Surveys 22 © Mundelein High School

Data Reporting

Report Types Staff have access to the following types of reports: Item analysis Instructional Objective analysis Student/Class assessment report Student reports with or without responses Curve analysis histogram Standardized exam results Sender school report Reports created based on need 24 © Mundelein High School

25 © Mundelein High School

26 Instructional Objectives

Examples of Reporting Teacher reports Individual class Sections of same course Course reports All sections/ all teachers together 27 © Mundelein High School

Item Analysis Report 28 © Mundelein High School

Instructional Objective Analysis Report 29 © Mundelein High School

Student/ Class Analysis Report 30 © Mundelein High School

Student/ Class Analysis Report 31 © Mundelein High School

Informing Instruction © Mundelein High School32

Data Analysis Meetings Weekly professional time Agenda Reflection and response Each teacher has: Entire course data Individual section data Assessment 33 © Mundelein High School

Other Considerations © Mundelein High School34

Savings of Time and Money Placement exams Standardized exams Sender school reports 35 © Mundelein High School

Comparison Reports Overall score for Carl Sandburg students: 75.1% 36 © Mundelein High School

Special Considerations Top loading scanning copy machines Connected to the network and internet Training and trainer Regular data analysis time for faculty 37 © Mundelein High School

Questions ????? 38 © Mundelein High School

Mundelein High School Presenters Dr. Anthony Kroll – Director of C & I ext 1326 Mrs. Kathryn Serby – Technology Trainer ext 1226 Partner4Results – Data Warehouse Mr. Jim Serpe Mr. Joe Crawford © Mundelein High School

40 © Mundelein High School