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Student Voices & Data-Driven Decision Making Student Voices & Data-Driven Decision Making
Improving Your AcademyImproving Your Academy
Dr. Ann G. Bessell (University of Miami)Dr. Cathleen Armstead (University of Miami)National Academy Foundation Staff Development InstitutePhiladelphia, PA. July, 2010
AgendaAgenda• Overview and Purpose• Innovative Techniques: Photolanguage• Doing Photolanguage• Exploring Data-in-a-Day• Analyzing data sets• Understanding Data• Making Data-Driven Decisions
OVERVIEW & PURPOSEOVERVIEW & PURPOSE
1) To Introduce Innovative Techniques for Self-Assessment & Evaluation – Photolanguage & Data-in-a-Day
2) To Explore and Practice Analyzing Data for Decision-Making Purposes
Innovative process using black and white photographs chosen for their:
Aesthetic qualities
Capacity to stimulate the imagination, memory and emotions
Ability to challenge the viewer for thoughtful reflection
PHOTOLANGUAGE
4
3
2
1Arrange Photos
Present Focus Question
View Photos
Select Photos
5Share Selections & Significance
PHOTOLANGUAGE
Question
#1
Choose a picture that best represents your image of a NAF student when compared to the general population of high school students.
Choose a picture that best represents your image of a NAF teacher or leader when compared to the general population of high school teachers.
Question
#2
Different Data Points
Class Time
Teachers: Not Researchers
Fear of Retribution
Challenges & Obstacles
Measuring
OutcomesLack of Integrated
Data System
What’s Next
Lack of Comparable Data
Lack of Longitudinal Data
Sidney Harris's cartoon demonstrates
how to get past those pesky detail steps
Sidney Harris's cartoon demonstrates
how to get past those pesky detail steps
• Observe multiple classrooms in a single day (20-30 Minutes)
• Collect data from multiple sources - surveys - questions - observations -
• Involve multiple stakeholders: Input from students, faculty & administrators
• Facilitate a dialogue about school improvement strategies
(Ginsberg & Kimball, 2008)
Improve
Schools
Participatory
Data-in-a Day
Quick &
Efficient
Encourages Critical Reflection
Student Input
Promotes Dialogue
Representative Teams
Important Aspects
Teamwork
Listening
Value
MostImportant
2002 Assessment Committee 12
Where are we?What is our goal?What course should we follow?
How are we doing?
ActualCourse
DesiredCourse
Our Goal
We are Here
Team 1 Team 2 Team 3 Team 4
8:30 am Opening Meeting - Principal’s Office9:15-9: 45 am Int. Reading
Rm 344Math
Rm 117Science (9th)
Rm 422Calculus Rm 119
10:00–10:30 am Lang. Arts (9)Rm 278
Lang. Arts(12)Rm 280
T.E.A.C.H.Rm 237
AOHTRm 213
10:45–11:15 am NAERm 128
JROTCGym
FreshmanRm 505
H EnglishRm 284
11:30–12:00 pm Int. Reading Rm 346
Culinary ArtsRm 307
Freshman Rm 506
AOHTRm 215
12:15 pm Debriefing - Principals’ Office
1. Principal Involvement2. Teachers & NAF Lead Teachers Involvement3. Guidance Counselors4. Explain the process5. Encourage participation on each team6.Review scheduleF
rom
th
e S
tart
Fro
m t
he
Sta
rt
Classroom Observations
Classroom Observations
1. Review checklist with district and principals at beginning of year
2. Review with principals and teachers at the meet and greet in morning
3. 10-15 minutes of classroom observation
xx
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x xx
x xx
xx
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x
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xx
Classroom interactions, on-task, teacher strategies
(c) 2002 Good & Kaminski
Time to Practice!
Review & Summarize Strengths4
Explore Qualitative Data3
Aggregate Quantitative Data2
1Review data sets and look for patterns
Review & Summarize Areas to Improve5
GUIDELINES
N = Knowledge Positive Personalize Switch Schools
InterDisciplinary
Creative Writing (Required)
Early Childhood(Academy)
NAF Finance(Academy)
Nursing(Academy)
Remedial Math
Totals
(c) 2002 Good & Kaminski
Time to Practice!
10 Minutes
N = Knowledge Positive Personalize Switch Schools Projects Counselor
Creative Writing
(Required)19
632% 6/6
737%
526%
15%
421%
NAF AOITAcademy
288
29% 8/816
57%0
0%6
21%3
11%
NAF Finance(Academy)
2828
100% 28/28
2589%
1450%
00%
00%
NAF AOHT(Academy)
2525
100% 25/2520
80%0
0%20
80%10
40%
Remedial Math 25
1212% 8/25
1248%
520%
00%
00%
Totals 12579
63%75
12580
64%24
19%27
22%17
13%
“It sort of makes you stop and think, doesn’t it.”
Deciding on ThemesDeciding on Themes
• More than three students mention in a classroom.• There is widespread agreement through nodding
or shaking heads• Verbal agreement (That’s the truth).• Mentioned in more than one classroom
with different observers.• There are positive and negative
corollaries expressed.
Common ThemesCommon ThemesStatement Number of
StudentsNumber of
Classes
Need more hands-on activities and things like field trips. 93 5
Some teachers help more than others, some are just here to get a paycheck. 74 5
The Uniform Policy 110 5
Cell Phones 65 3
What do you like about your school? The academies 98 5
The new principal is too strict about little things 25 6
What NAF promises:
– Personalization– Empowerment– Differentiated Instruction– Hands-On Activities– Relevant Learning– Internships– Interdisciplinary projects– Connections to the world
of work and high school– Learning takes place
beyond the school
Students’ VoiceStudents’ VoiceWhat students want:
– Teachers who know them.
– Teachers who listen to their opinions.
– Hands-on Activities– Projects and Problem
Based Learning– Connected to the real
world– Field trips with assigned
academic work
Data
Collection
Multiple
Sources
Multiple
Observers
Begin
with
Questions
Stakeholder
Concerns
Student
Outcomes
Data
Analysis
Critical
Reflection
DECISIONS
• Approach to data collection and analysis actively engages those involved in the reform, and facilitates critical dialogue about future steps.
• Through the collaborative process, evaluators and schools work to determine program effectiveness.
• Consensus after gathering data leads to ongoing dialogue to determine areas on concern, potential strategies for improvement, and next steps.
• Working collaboratively, the data-in-a-day process culminates in critical conversations about secondary school reform.
Data-in-a-DayData-in-a-Day
Dr. Ann G. BessellDr. Cathleen Armstead
Dr. Ann G. BessellDr. Cathleen Armstead
[email protected]@miami.edu