Assessment and Design Strategies for Improving Student Learning: Utilizing Data with Technology Tools for Instructional Decisions University of Maryland.

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Presentation transcript:

Assessment and Design Strategies for Improving Student Learning: Utilizing Data with Technology Tools for Instructional Decisions University of Maryland Educational Technology Outreach Director: Davina Pruitt-Mentle EDHD 435: Module

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Outcomes Understand the connection between data (school/district and classroom) and standards (and instructional design) Understand where and how to locate MSDE/school data and content standards Understand how to interpret and analyze data from mock case studies Become familiar with technology tools, like Excel and the vast features within the application Make instructional designs based on data analysis Apply new knowledge gained to your own classroom

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Graphical Overviews See Handouts

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Raw Data Math FocusReading Focus Instructional Decisions are Guided by the Overall Mission

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Decisions Guided by…. MSA Data msa_analyzing/index.asp msa_analyzing/index.asp Voluntary State Curriculum (VST) tion/index.html

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Standards/Mission Overall Mission is a driver for all educational communities –K-12 (MD) –UMCP –UMCP COE and –UMCP Life Sciences and –Association of American Universities Data Exchange (AAUDE) –Association of American Universities

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Instructional Management System Main Site us/IMS/ us/IMS/ User Request Form us/IMS/IMSRequest2.pdf us/IMS/IMSRequest2.pdf By default – each teacher has an account to see their students only (no request needed) LSS are also testing out IMS-only a few can afford them

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Data Warehouse: MCPS example Data Warehouse artments/technology/datawareh ouse.shtm artments/technology/datawareh ouse.shtm Limited to central office staff and school administrators Many LSS are testing out online data warehouses

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Why Excel? For those who do not have data warehouses Those who do have a data warehouse, but want to analyze outside the “standard” format –can download data entered in database into Excel –many collect in Excel and then enter into data warehouse

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Templates MSDE UMCP COE ETO – MTTS/ISTE/INTASC

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Identifying Desired Results  Scavenger Hunt  Data  Curriculum and Standards  Data  Looking at the Bigger Picture  State Needs (University Needs)  LSS (College Needs)  School (Unit/Dept. Needs)  Interpretation and analysis  Case Studies (LP elem school)  Collecting/consensus (team exercise) Excel –Downloading and using templates –Tools Basics Lookup Conditional Formatting Filters Graphs/Charts SD/Variance Analysis Community School Classroom

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Final Project Part I Part II Part III

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Part I Kafi Lewis [Word … PDF]Word PDF Anita Mazzocchi [Word … PDF]Word PDF Jennifer Marousek [Word … PDF]Word PDF Jessica Elseroad [Word … PDF]Word PDF

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Part II

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Part III Amanda Turner [Word … PDF]Word PDF Anita Mazzocchi [Word … PDF]Word PDF Jennifer Marousek [Word … PDF]Word PDF Megan Lucks [Word … PDF]Word PDF

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Identifying Desired Results Different ways to look at and analyze data Easier with technology tools and procedures Consensus on interpretations Connect instructional decisions/changes supported by evidence—based on interpretation

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Instructional Choices Learning Styles Instructional Styles Background Info on target group/s Differentiated Instruction vs. Individualized Instruction

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Lesson Learned Assumption pre tech/assessment knowledge Time Workload Electronic means Syllabus Phone activity (MSPAP) Plant activity Feedback –Time –Comments

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Reflection Final Reflection /Evaluation - reflecting on your own ideas and practices as well as on those introduced in this module (10%) Course reflections via these 3 activities count as reflection part of grade--no right/wrong answers--only grade for completion. So make sure have your name and Complete the exercises

Session 1 Assessment and Data CourseCOE ETO UMCP copyright Reflection Post Assessment Module Evaluation MTTS Matrix Completion Computer IBM and Open Lab—No Laptops!

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