1. A Data-Based Motivation Technique
Motivation Matters!
A Data-Based Motivation Technique

2. Rita & John ritaplatt@hotmail.com john.wolfe@mpls.k12.mn.us
@ritaplatt
Rita Platt is a Nationally Board Certified teacher. Her experience includes teaching learners of all levels from kindergarten to graduate student. She currently is a Library Media & Reading Specialist for the St. Croix Falls SD in Wisconsin, teaches graduate courses for the Professional Development Institute, and consults with local school districts.
John Wolfe is an Itinerant ESL Teacher in the Multilingual Department at the Minneapolis Public School District. He has worked with students at all levels as well as provided professional development to fellow teachers. His areas of expertise include English Language Learners, literacy, and integrated technology.

3. Collaborative, Conversational, & Continuous!
Relax … Everything (and more) is on The Wiki
The 3 C’s of PD:
Collaborative, Conversational, & Continuous!

4. Questions to be Answered
How are you currently using data?
What is data-based motivation and how can it be implemented?
What are some measures that are useful to EL’s?
How does student goal-setting fit in with data-based motivation?

5. What do your students know about their English Proficiency?
What do they know about the state of their “journey” to English?

6. Data-Based Decision Making
Assess
Analyze results
Set goals for student growth- plan interventions to meet goals
Teach for growth toward goals
Reassess
Tweak plans
Repeat  Repeat  Repeat
Continuous
Improvement
Model

7. Data-Based Decision Making
Assess: Administer reading assessment
Analyze: Student is at a GE 2.3, but could make quick growth with targeted instruction
Set Goal: Progress from 2.3 to level 2.8 by the end of the second quarter
Plan: Small guided reading group instruction 4 times per week for 30 minutes PLUS 10 minutes of fluency practice each day
Implement Plan
Reassess: Student at level 2.9
Tweak plan: Continue
Continuous Improvement Model

8. Who is missing from this model?

9. What is Data-Based Motivation?
Students must be INVOLVED to be motivated!

10. What does Pink tell us we need in order to be motivated?
Daniel Pink on Motivation RSA: What Motivates Us - Dan Pink
How can we apply the principles set forth in the video to teaching and learning?
What does Pink tell us we need in order to be motivated?

11. Make Learning Visible! ACHIEVEMENT! Purpose  Mastery  Ownership
MOTIVATION
Leads to
Make Learning Visible!
ACHIEVEMENT!
Leads to…

12. John Hattie on Visible Teaching & Learning
Visible teaching and learning occurs when learning is the explicit and transparent goal, when it is appropriately challenging, and when the teacher and the student both (in their various ways) seek to ascertain whether and to what degree the challenging goal is attained.

13. Steps for Using Data-Based Motivation
Share criteria / growth norms with students
Teach students to look at / analyze their own data
Teach students to set goals and monitor progress
Celebrate growth!
Repeat … Repeat … Repeat
Using Data to build
OWNERSHIP
PURPOSE
MASTERY

14. To Make Learning Visible You Must Share Data with Students
YET!
Lifting the “veil of shame” with the
power of “YET!”

15. Purpose Mastery Ownership
Can-Do Descriptors
Purpose
Mastery
Ownership

16. Sharing Norms/Criteria
Oral Fluency Norms
Grades 3-5
Grade
Percentile
WCPM Fall
WCPM
Winter
Spring 3
90th
75th
50th
25th
10th
128 99 71 44 21
146
120 92 62 36
162
137
107 78 48 4
145
119 94 68 45
166
139
112 87 61
180
152
123 98 72 5
110 85
182
156
127 74
194
168
109 83
Purpose
Mastery
Ownership

17. More Ideas for “Anchor Data” & Monitoring Progress
Free Curriculum-Based Measures (CBM)
DIBELS, Easy CBM (QUICK, easy probes for math, fluency, and comprehension)

18. Sharing Norms/Criteria

19. Individual Student Report
MAP
Individual Student Report
RIT Targets Report

20. Other CAT’s (Computer Adaptive Tests)
STAR Reading – in English and Spanish
FastBridge aReading

21. Comprehension Rubrics

22. WIDA & MDE ELD ACCESS Norms

23. Vocabulary Size?

24. Sentence Repetition / Elicited Imitation Tasks

25. Sharing Growth Data With Students
Present data in easy to understand formats and using
kid-friendly rubrics

26. Student-Managed Data-Notebooks

27. Warning: The Role of TEARS in Data-Based Student Motivation

28. Make Learning Visible! ACHIEVEMENT! Purpose  Mastery  Ownership
MOTIVATION
Leads to
Make Learning Visible!
ACHIEVEMENT!
Leads to…

29. Teaching Students to Analyze Data
Where do I want/need to be?
Look at the Norms / Criteria
Where am I now?
Look at Current Data
How can I get there?
Students reflect on data
What does the data tell me about my learning?
How can I improve?
Students set goals for growth

30. Okay, we’ve got kids looking at data, now what???

31. Goal Setting, A Simple Lesson Sequence

32. To be effective, goals must be To be effective, goals must ber
To be effective, goals must be
FRONT & CENTER!
To be effective, goals must be
SCAFFOLDED!
Goal Packets/Worksheets

33. Your Role Students’ Roles
Coach
Manager
Mom/Dad
(the “mean” kind)
Professor
Researcher
Diagnostician
Encourager
LEARN

34. Possible Road Blocks Some students never seem to make growth.
Kids will compare their data.
Too much focus on grading, assessment, or data.
Students will stress-out.
Takes too much time to implement.

35. Your Turn Self Assessment -- Mark the continuums
(1 = Novice -- 5 = Master)
How well do you use data to inform your instruction?
How confident / reliable are you at sharing data with students?
How confident / reliable are you at working with students to set individual goals?
How confident / reliable are you at celebrating successes with students?

36. Your Turn
Analyze your own data, choose two areas in need of growth and set growth goals. Return to your goals in the Fall and plan for implementation.
Example:
I will increase my score from a 2 to a 4 on the self-assessment continuum for “I am confident / reliable are you at working with students to set individual goals” by the end of the first semester in the 2011/12 school year.

37. Were the Questions Answered?
How are you currently using data?
What is data-based motivation and how can it be implemented?
What are some measures that are useful to EL’s?
How does student goal-setting fit in with data-based motivation?