1. 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

2. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 2 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

3. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 3 Graphical Overviews See Handouts

4. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 4 Raw Data Math FocusReading Focus Instructional Decisions are Guided by the Overall Mission

5. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 5 Decisions Guided by…. MSA Data http://www.mdk12.org/data/ msa_analyzing/index.asp http://www.mdk12.org/data/ msa_analyzing/index.asp Voluntary State Curriculum (VST) http://www.mdk12.org/instruc tion/index.html

6. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 6 Standards/Mission Overall Mission is a driver for all educational communities –K-12 (MD) http://www.msp.msde.state.md.us/http://www.msp.msde.state.md.us/ –UMCP http://www.oirp.umd.edu/WOCN/index.cfmhttp://www.oirp.umd.edu/WOCN/index.cfm –UMCP COE http://www.education.umd.edu/collegeinfo/ and http://www.edtechoutreach.umd.edu/http://www.education.umd.edu/collegeinfo/ http://www.edtechoutreach.umd.edu/ –UMCP Life Sciences http://www.life.umd.edu/college/StrategicPlanForWeb.pdf and http://www.life.umd.edu/college/initiatives.html#undergraduate http://www.life.umd.edu/college/StrategicPlanForWeb.pdf http://www.life.umd.edu/college/initiatives.html#undergraduate –Association of American Universities Data Exchange (AAUDE) http://www.pb.uillinois.edu/aaude/http://www.pb.uillinois.edu/aaude/ –Association of American Universities http://www.aau.edu/ http://www.aau.edu/

7. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 7 Instructional Management System Main Site http://www.mcps.k12.md. us/IMS/ http://www.mcps.k12.md. us/IMS/ User Request Form http://www.mcps.k12.md. us/IMS/IMSRequest2.pdf http://www.mcps.k12.md. 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

8. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 8 Data Warehouse: MCPS example Data Warehouse http://www.mcps.k12.md.us/dep artments/technology/datawareh ouse.shtm http://www.mcps.k12.md.us/dep artments/technology/datawareh ouse.shtm Limited to central office staff and school administrators Many LSS are testing out online data warehouses

9. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 9 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

10. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 10 Templates MSDE http://mdk12.org/data/progress/developing/m4w2/pr2/index.html http://mdk12.org/data/progress/developing/m4w2/pr2/index.html UMCP COE https://www.education.umd.edu/ssat/ https://www.education.umd.edu/ssat/ ETO – MTTS/ISTE/INTASC http://www.edtechoutreach.umd.edu/CourseInfo/edhd485/pt3standardstemplate.html http://www.edtechoutreach.umd.edu/CourseInfo/edhd485/pt3standardstemplate.html

11. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 11 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

12. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 12 Final Project Part I Part II Part III

13. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 13 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

14. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 14 Part II

15. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 15 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

16. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 16 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

17. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 17 Instructional Choices Learning Styles Instructional Styles Background Info on target group/s Differentiated Instruction vs. Individualized Instruction

18. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 18 Lesson Learned Assumption pre tech/assessment knowledge Time Workload Electronic means Syllabus Phone activity (MSPAP) Plant activity Feedback –Time –Comments

19. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 19 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

20. Session 1 Assessment and Data CourseCOE ETO UMCP copyright 2004 20 Reflection Post Assessment Module Evaluation MTTS Matrix Completion Computer IBM and Open Lab—No Laptops!

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