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Data Wise Data Presentation
University of Massachusetts BostonAimee D’Avignon, Fabian Torres-Ardila,
Janna Kellinger, Mike Gilbert, Kevin Ziomek
November, 2014
Overview of the Process
Step 1: Organize for Collaborative Work
Develop well-functioning,
collaborative teams based
on the Data Wise Norms: • Take an inquiry stance• Ground statements in
evidence• Assume positive
intentions• Stick to protocol• Start and end on time• Be here now
Step 2: Build Assessment Literacy
-Understanding what our working conception of assessment literacy is for this project-Understanding limitations and potential uses for assessment and data-Understanding affordances and constraints of presenting data in various ways-Developing a common language around assessment
Step 2: Build Assessment Literacy
Step 3: Choose a Focus Area
A Focus Area is:
-Related to instruction
-Narrows scope of the inquiry while remaining broad enough to be relevant to many/most of the staff member
Possible Focus Areas:
Step 3: Ask a priority question
Priority Questions:
A Priority Question:
-Arises from a collaborative process
-Relates to instruction
-Is actionable
-Further narrows scope of inquiry
-Is genuinely intriguing to faculty and staff
Step 4: Determine a learner-centered problem
Our students struggle with . . .
A Learner Centered Problem:
-Directly relates to the priority question
-Based on digging into multiple data sources
-Is within the school’s control
-Is a statement about student learning (not a question)
-Is specific and small
Step 5: Examine Instruction
Reframe the Learner Centered Problem as a Problem of Practice:
-Directly relates to Learner Centered Problem
-Is based on evidence from examining instruction
-Is within our control
Our faculty struggle with . . .
Step 6: Develop an Action Plan
An Action Plan:
-States specifically what teachers will do to address the problem of practice
-Action steps in this plan should be research-based, evidence -based, high-leverage, assigned to specific people, and time-bound
Step 7: Plan to Assess Progress
The Plan to Assess Progress:
-Helps us determine whether our action plans are, in fact, helping students make progress towards addressing the LCP -Should include short-term, medium-term, and long-term assessments
-Should include specific and measurable student learning
Step 8: Act and Assess
Make it happen
Evaluate success
Our Turn
Step 1: Organize for Collaborative Work
Develop well-functioning,
collaborative teams based
on the Data Wise Norms: • Take an inquiry stance• Ground statements in
evidence• Assume positive
intentions• Stick to protocol• Start and end on time• Be here now
Two-pronged approach:
1) Datawise Team inquiry projects
2) Dept. wide inquiry project based on our 4 TEAC claims -Each TEAC claim group examine dept. level data to come up with a learner- centered problem
-Then each program examines program level data to examine instruction and develop and carry out an action plan
Step 1: Organize for Collaborative Work
Strengths Challenges
● We have accreditation as motivation● Infrastructure is in place● We have the support of the Dean and
the Chair of C&I to work on this project
● We are launching a new Undergraduate program which affords us the opportunity to revisit our practices
● The structure of the University and College establishes and reinforces data silos. Therefore obtaining rich and illustrative points of data can be time consuming.
● scheduling around work responsibilities means that all necessary stakeholders are not able to be present at the same time
● Infrastructure (University, College and Department) could be tweaked to improve efficiency
Because we are all stretched for time, the decision was made to use Department meeting time as much as possible to do the department wide Data Wise process work.
Step 2: Build AssessmentLiteracy
One new tool that will be at our disposal is
EDWIN:
- State data that follows our students
from pre-service to in-service- Will include MTELs, PST/PPA data,
Teacher Evaluation Scores, Where our
students teach, etc.
Step 3: Data Overview: Data Inventory
Name of Data Source
Content Area
Dates of Collection
Students Assessed
Who Has Access to these
data?
How are these data
currently used?
How could these data be more effectively used?
MTEL C&I, Curric, Content
Varies, prior to Practicum
All DWT
Exit Survey All Graduation All Christine, faculty exercise at a retreat
Analyze and share with more persons; programmatic change
GPA All Program entry
Demographics All Program Entry
EDWIN All Exit and Employment Data
Aimee Brand new
Analyze and share, prepare graduates, support claims
PPA All Lisa, Christine, GPDs
TEAC, licensure
Identify areas where our students struggle.
Admissions All
Exit Survey (Administered Spring 2013 and Spring 2014)
o Administration is given twice per year (at graduation): the survey assesses students’ perspectives of the program and their preparation (feelings)
o Categories do not add up to 100%
o Some prompts are questions whereas others are statements
o The data displayed corresponds to a subset of 14 questions. This subset was classified as “Student perception of pedagogical competence” by the data team.
o N is small (Spring 2013 = 11; Spring 2014 = 28)
Step 3: Data Overview: Assess Assessments
Step 3: Data Overview: Choose a Focus Area
The focus area for our first inquiry cycle is: TEAC CLAIMS
Our rationale for choosing this focus area is:
We choose these claims because they are important to our College Mission of preparing urban teachers
Our priority question was:
How well are we preparing our graduates to meet our TEAC Claims?
Our graduates will: - demonstrate cultural competence and address social justice issues in urban and other diverse contexts. (QP 1.3, 1.4.2) - demonstrate knowledge of content and pedagogical and assessment practices that promote learning. (QP 1.1, 1.2, 1.4.3) -incorporate family and community resources into their practice. (Q.P. 1.1, 1.2, 1.4.3) -demonstrate the skills necessary to engage in professional and life long learning. (QP 1.41, 1.4.3)
Step 4: Digging into Student Data
1. Real te
aching problems
2. Using fra
meworks to plan
3. Teaching content
4. Inquiry
methods
5. Teach higher o
rder thinking
6. Student m
otivatio
n
7. Edtec
8. Diffe
rentiatio
n
9. Usefulness of te
achr ed classes
10. High-stakes te
sting
11. Teacher R
esearch
12. Using IE
Ps
13. Class-ro
om management
14. Using 504 plans
0
10
20
30
40
50
60
70
80
90
100
Exit Survey - Student Perception Pedagogical Competence Middle/High school Graduates - (Spring 2013 - Spring 2014)
2013 n=11 2014 n=28 Average 2013 Average 2014
% o
f st
uden
ts r
epor
ting
in t
he t
wo
top
cate
gori
es (
out
of 4
cat
egor
ies)
DataWise Team Inquiry Cycle 1
Step 4: Digging intoStudent Data
Student Perception of Pedagogical Competence
Question: My teacher education program prepared me to…
1. UMass-Boston teacher preparation faculty structured their course around real problems of teaching practice.
2. Use the state's curriculum frameworks and standards to plan instruction.
3. Teach content knowledge and skills.
4. Use inquiry methods to create effective learning environments
5. Teach problem solving, conceptual understanding, and other aspects of higher order thinking.
6. Motivate students to participate in academic tasks.
7. Use educational technology as a learning tool.
8. Teach students with different ability levels in the same class
9. Reflect on and improve my teaching performance
10.Teach in a high-stakes testing environment.
11. Use classroom research and inquiry strategies
12. Read and understand Individual Education Plans (IEPs) and provide appropriate accommodations for the individual students in my classroom
13. Use classroom management techniques/procedures.
14. Read and understand 504 plans and provide appropriate accommodations for individual students in my classroom.
DataWise Team Inquiry Cycle 1
Step 4: Digging into Student Data
Strongest Aspects: “faculty brought a wealth of knowledge to the classroom. The minimum amount of experience the adjunct faculty had was 20+ years, that kept my experience focused on the realities that I will experience.”“Most of the staff actually work in BPS and were great resources to have.”
Suggestions for Program:“More hands on instruction opportunities.”“Application of theory into practice”“Spend more time on practical things like classroom management.”“More emphasis on day-to-day classroom situations: behavior management, how to deliver assessments, how to interpret test results”“More attention to practical aspects of teaching; e.g., classroom management, lesson planning”“More practice less theory.”“Focus more on the practical aspects of teaching like pedagogy.”
DataWise Team Inquiry Cycle 1
Step 4: Digging into Student Data
Qualitative Data Summary: While instructors have a lot of real-world experience and knowledge of teaching in urban schools, students expressed a need for more practice with real-world situations likely to occur in urban schools. This was reflected in the quantitative data as
well. For example, students rated “structuring classes around real teaching problems” high, but some of the practical applications like using standardized assessment results, classroom management, and using IEP and 504 plans rated low.
DataWise Team Inquiry Cycle 1
Step 4: Digging into Student Data
Practical ApplicationsClasses structured around
real-world problems
DataWise Team Inquiry Cycle 1
Step 4: Digging into Student Data
In addition, another quantitative measure on our exit survey supported the aspect of our conclusion relating to instructor strength:
The UMass Boston Teacher Preparation faculty know a lot about the reality of contemporary schools.
Spring 2013-100% Spring 2014-96%
DataWise Team Inquiry Cycle 1
Step 4: Digging intoStudent Data
Learner-centered problem:
While our instructors provide many real life examples from their own experiences, our students struggle to apply them to their own teaching.
DataWise Team Inquiry Cycle 1
Step 5: Examine Instruction
Problem of practice:
Our instructors impart their own real-life experiences but need to build in more ways for students to practice applying this knowledge
DataWise TeamDataWise Team Inquiry Cycle 1
Step 6: Develop an Action Plan
Potential solutions:
Use instructors real-life experiences to build: in-class role-playing scenarios, case-based teaching, micro-teaching, problem-based learning, analysis and application of real data, simulations, etc.
DataWise Team Inquiry Cycle 1
Step 7: Plan to Assess Progress
-Data from future exit surveys
-Examining syllabi
-Examining student work, e.g. core assignments
-Examining PST scores
DataWise TeamDataWise Team Inquiry Cycle 1
Step 8: Act and Assess
We are exploring the use of simulations, case studies, role-playing, etc.
DataWise Team Inquiry Cycle 1
Our Turn: Inquiry Cycle 2
Step 3: Choose a Focus Area
A Focus Area is:
-Related to instruction
-Narrows scope of the inquiry while remaining broad enough to be relevant to many/most of the staff member
Possible Focus Area:
What challenges are our teacher candidates facing that we could better prepare them for?
DataWise Team Inquiry Cycle 2
Step 3: Ask a priority question
Priority Question:
How well prepared are our students to meet the expectations of new state standards and assessment?
A Priority Question:
-Arises from a collaborative process
-Relates to instruction
-Is actionable
-Further narrows scope of inquiry
-Is genuinely intriguing to faculty and staff
DataWise Team Inquiry Cycle 2
Step 4: Digging into Student Data
1. Real te
aching problems
2. Using fra
meworks to plan
3. Teaching content
4. Inquiry
methods
5. Teach higher o
rder thinking
6. Student m
otivatio
n
7. Edtec
8. Diffe
rentiatio
n
9. Usefulness of te
achr ed cl...
10. High-stakes te
sting
11. Teacher R
esearch
12. Using IE
Ps
13. Class-ro
om management
14. Using 504 plans
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Exit survey - Student perception Pedagogical Competence Graduates - (Spring 2013 and 2014 )
(2013 n=48) 2014 (n=52) Average 2013 Average 2014
% o
f st
uden
ts r
epor
ting
in t
he
"G
ood
or E
xcel
lent
" ca
tego
ries
63%
77%
High Stakes Testing
DataWise Team Inquiry Cycle 2
Step 4: Digging intoStudent Data
-20%
-10%
0%
10%
20%
30%
Exit survey - Student perception Pedagogical Competence Graduates - (Spring 2013 and 2014 )
2013 (n=48) 2014 (n=52)
Diff
eren
ce %
of
stud
ents
rep
ortin
g in
the
"Goo
d or
Exc
elle
nt"
cate
gori
es w
ith r
espe
ct t
o av
erag
e
High Stakes Testing
DataWise Team Inquiry Cycle 2
Step 4: Digging into Student Data
Over the two years of data, the area with the lowest overall rating was “Teach in a High Stakes Testing Environment” The two lowest rating items on the 2014 survey were “teach in a high-stakes testing environment” and “interpret and use standardized test results”
DataWise Team Inquiry Cycle 2
Step 4: Some Qualitative Quotes
“more emphasis on day-to-day classroom situations: behavior management, how to deliver assessments (TRC, Dibels, etc.), how to interpret test results”
“There were a few teachers (2) who were out of date on the new issues facing teachers such as Race to the Top or the new evaluation system.”
DataWise Team Inquiry Cycle 2
Step 4: Digging intoStudent Data
Learner-centered problem:
Our students struggle with understanding and implementing effective assessment strategies as well as interpreting and applying external assessment results within the context of PARCC.
DataWise Team Inquiry Cycle 2
Step 5: Examine Instruction
Problem of practice:
Given that schools and teachers are increasingly held accountable for student achievement, faculty need to better prepare our students for teaching in this high-stakes testing environment.
DataWise Team Inquiry Cycle 2
Step 6: Develop an Action Plan
Potential solutions:
-Infusing assessment practices across courses
-professional development around Common Core
DataWise Team Inquiry Cycle 2
Step 7: Plan to Assess Progress
-Data from future exit surveys
-Examining syllabi
-Examining student work, e.g. core assignments
-Examining PST scores
DataWise Team Inquiry Cycle 2
Step 8: Act and Assess
We have asked someone to talk about how Boston Public Schools analyzes and uses data for improvement at our last department meeting.
DataWise Team Inquiry Cycle 2
Your Turn