MEA Science & Technology Presentation

1. MEA Science & Technology Presentation November 2009

2. Before You Get Settled Write out your needs for today on one or more sticky notes. Use complete sentences. One need per sticky!

3. Who’s in the Room?

4. What IS our purpose?

5. GOALS • Provide information about the range of Science MEA DATA • Model protocols for mining state level data • Student questionnaires • Demographics • Strand (standard and performance indicator) • Item (multiple choice and constructed response)

6. GOALS Model protocols for mining local data Provide information about the online data tools available through iServices Provide connections among state level data, school/district level data, and classroom level data Provide resources to assist with Tier I RTI (BEST PRACTICES)

7. Norms

8. TYPES of MEA DATA • State Level • Teacher/Principal Questionnaires • Student Questionnaires • Demographics • Strand Data (Standard/Performance Indicator) • Item Data • Local – All of the above and student level data that can be sorted and graphed.

9. “I use research based information on student preconceptions in science to understand what students know.” Grade 4 • Every unit 25.5% • Occasionally 50.9% • I don’t use it 9.1% • I don’t know 14.5% about the research base (55 responded / 93 skipped)

10. Research based, inquiry approach kits/materials Research based, inquiry approach kits/materials with literacy integrated Local, teacher developed Textbooks 20.8% 30.2% 43.4% 5.7% (53 responded / 95 skipped) What best describes your 4th grade science program/curriculum?

11. Well prepared Somewhat well prepared Not well prepared I do not teach fourth grade 3.7% 50.0% 22.2% 24.1% (54 responded / 94 skipped) How well do you believe your science program prepared your grade 4 students for the assessment?

12. Say Something

13. Data Driven Dialogue Predict

14. Consensogram • How proficient am I at using understanding and mining student data to improve instruction? • How important is data to improvement of teaching and learning?

15. Data Driven Dialogue Predict Go Visual

16. Student Questionnaire Make your predictions about student responses on the questionnaire.

17. Data Driven Dialogue Predict

18. Data Driven Dialogue • Predict • Go Visual • High Priority • Caution • Good News

19. School Report with State Information

20. School Report with State Information

21. School Report with State Information

22. School Report with State Information

23. School Report with State Information

24. School Report with State Information

25. Take the Test As you go PREDICT how students will perform on items (percent on correct response).

26. Data Driven Dialogue • Predict • Go Visual • High Priority • Caution • Good News • Observe - (NO BECAUSE) • Infer

27. Data Driven Dialogue Predict Go Visual Observe - (NO BECAUSE) Infer

28. Data Driven Dialogue Predict Go Visual OBSERVE Infer

29. Resources for Understanding Student Learning Benchmarks for Science Literacy – CH 15* Making Sense of Secondary Science How People Learn* How Students Learn Science* Taking Science To School* Ready, Science, Science!* National Science Education Standards *AVAILABLE ONLINE

35. Assessment Tour

36. Questions? How can you released items be used? What other formative assessments exist? What are best practices? Is there a fit between Science, Literacy, and Numeracy? What about STEM?

37. Share Your Knowledge

38. For More Information … Anita Bernhardt Science & Technology Specialist Maine Department of Education 23 State House Station August, Maine 04333 (207) 624-6835 anita.bernhardt@maine.gov http://www.maine.gov/education/lres/scitech

39. Measuring Your Feedback