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Comprehend Data Training (Level 1) Using Data to Guide Instruction. Data. Introduction of Trainer. Data. Introduction of Trainees Who are you?. Administrators Teachers Elementary, Middle School, High School Other. Data. Training Agenda (3 Hours). L11 Data – Acquire
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Comprehend Data Training (Level 1) Using Data to Guide Instruction Data
Introduction of Trainees Who are you? • Administrators • Teachers • Elementary, Middle School, High School • Other Data
Training Agenda (3 Hours) L11 Data – Acquire Level 1 – EXPLORE the data and IDENTIFY foundational knowledge concerning data • ENGAGE prior knowledge to INTEGRATE standard data vocabulary. (5 minute break) Data
Training Agenda (3 Hours) • CONDUCT standardized, guided PRACTICE on basic workflows. (10 minute break) • DEMONSTRATE the use of standard practices and vocabulary. (The End) Data
What is ALCA? Aurora Learning Community Association • A non-profit education association • Formed in 1997 from a $5M USDE Title IID Technology in Education Challenge Grant • Serves K-12 Education, Oklahoma Career Tech and Higher Education Data
ALCA MISSION (Commitment) Listen to Educators • Identify Problems – Look for Solutions • “Wouldn’t it be nice if...?” Data
ALCA Districts Data
Connecting Learners • Online Professional Learning Communities Data
Professional Learning Communities (PLCs) Continuously seek and share learning… Data
Professional Learning Communities (PLCs) Increase their effectiveness for student learning… Data
Professional Learning Communities (PLCs) Act on what they learn. Data
Goal for the PLC Develop a commonvocabulary, commonpurpose, commonvision to communicate and collaborate efficiently and effectively as highly functioning, state- and district-wide teams Data
Learning Bell Curve Training Group: We are all at different levels Data
Learning Styles http://www.learning-styles-online.com/overview/ The Seven Learning Styles • Visual (spatial):You prefer using pictures, images, and spatial understanding. • Verbal (linguistic): You prefer using words, both in speech and writing. • Physical (kinesthetic): You prefer using your body, hands and sense of touch. Data
Learning Styles • Logical (mathematical): You prefer using logic, reasoning and systems. • Aural (auditory-musical): You prefer using sound and music. Data
Learning Styles • Social (interpersonal): You prefer to learn in groups or with other people. • Solitary (intrapersonal): You prefer to work alone and use self-study. Activity (icon maybe???): Take a Stand: Personal Assessment of Learning Styles Data
Differentiation • Training activities that focus on all learning styles have been incorporated into training • Provide resources to go back and review and rethink…offering the way that you prefer to learn Data
Logging into Your ALCA Community: Arch Platform www.alcaweb.org • Quickstart Guide • Quickstart Video Data
Welcome to Arch • Timer for logged in user • Utility Bar Definitions • Available resources located on the page Data
Utility Bar: Rooms • Click Rooms on the Utility Bar • Room Definition: A Room is a place members come together to address a common set of tasks. “A Place to Work on a Focus Topic” Eg. Chemistry II Course; 3rd Grade Math Data
Enroll using an Access Key • Enter Access Key: 123456 • Click Enroll • Verify “PLC Training Room” is now listed Data
Room Resources Identified • Click “PLC Training Room” • Click Data Resources • Click L1 Data – Acquire Data
Room Resources Identified • Quickstart Guide • Quickstart Video • Level 1: Comprehend Training PowerPoint • Surveys and other resources Data
Comfort Survey • Click on the Resource “L1 Comprehend Data Training Pre-Survey” Activity (icon): Take approximately 5 minutes to complete the online form Data
FERPA http://www2.ed.gov/policy/gen/guid/fpco/ferpa/index.html • Family Educational Rights and Privacy Act • An example FERPA Statement provided in room as a resource • Sign FERPA Statement and return to trainer Data
Basic Data Analysis Vocabulary http://www.alcaweb.org/arch.php/resource/view/50596 • Cut-scores: Divide students into performance level Data
Basic Data Analysis Vocabulary • Oklahoma Modified Alternative Assessment Program (OMAAP): A two percent cap exists for reporting the percentage of students counted as proficient on AYP. The cap does not limit the number of students who may participate in OMAAP. Data
Basic Data Analysis Vocabulary • SOPI: Standard/Objective Performance Index – also referred to as Item Analysis. SOPI scores are given for individual student performance and group (grade and subject) performance. Vocabulary provided as a resource in the room - UPDATE Data
Why are we getting into data? What the research says about data… Level 1: How did I do? Level 2: How are the students that are coming to me do? Level 3: Have the practices we embedded been sustained Data
Demo vs Live Data • ALCA provides demo data for all users • Logout of Arch to re-enter under the demo account as we begin to explore data Data
Quickstart Guide • Steps will be delivered live via the computer • Quickstart Guide provides pictures to help you find “clicks” in the Arch platform Data
Arch Platform: Logging In 1: Click Loginat the top right of the web page 2: Enter your Username and your Password. Then click the Login button. Username: demo@compdemo Password: 123pass Data
Data Sets • EPAS (Explore, Plan) • OCCT (State Testing Grade/Subject) • Other Tests (Dibels, WIDA, Study Island, NWEA, etc.) Data
Quickstart Guide • Basic Overview • Step-by-step assistance • NOW…LIVE step-by-step introduction by trainer Data
Quickstart Summary • Reference the Quickstart and Videos for ongoing assistance as they use the system • LOGOUT: Time to reflect on “Your Data” Data
5 Minute Break • Please stay in the training room but feel free to stand and stretch your legs and visit with your neighbor http://cd.justinjc.com/5m(insert clock image) Data
Personal Login Information • Login with your personal Username and Password • Click Comprehend in the utility bar Data
Q: How did “we” do as a system? • Exploring OCCT Data Set • Exploring your own data and analysis of student learning Data
Beginning Data Analysis 1. Select Data Set – OCCT 2. Select Grade and Subject • 5th Math for Demo Data 3. Filter Data • Summative: Review last year’s data Data
Comprehend: Blue Bar • Blue Bar represents data set Data
Comprehend: Gray Bar • Gray Bar: What did I filter for? • Ability to search for a student by Last Name Data
Comprehend: Green Bar • Green Bar: How many records and the proficiency level of displayed records • Change the number of records displayed Data
Exploring the Data Table Basic Functions • Remove (hide) the “First Name” column Data
Data Table: Basic Functions • Return the “First Name” column Data
Data Table: Basic Functions • Check Boxes: Only used to make student groups Data
Data Table: Basic Functions • Green Rows (Eg. Row #3 and #6): Provide visual stability while reviewing online data Data
Data Table: Basic Functions • Curser Marker: Orange row (Eg. #8) reflects data where the curser currently resides Data
Data Exercise • Sort Student Last Names: Ascending • Sort OPI Score: Ascending • OMAAP Discussion: Anything below 400 designates an OMAAP student • Cut-scores Data