Upload
christopher-thorn
View
142
Download
2
Embed Size (px)
Citation preview
Organic School Info-Systems:Decision Making at the School Level
Christopher A. ThornUniversity of Wisconsin-Madison
Wisconsin Center for Education Research
The School Improvement Planning Process and Decision Support
Much my work has been split between district technology and research staff and schools working on SIP projects.
School Improvement Plans have been the justification for our efforts, but rarely seem to play an important role in improvement.
Is it possible to get inside the improvement process and see why this is failing?
What do teachers say about the utility of more data?
“ We need to have our minds opened to what else could be done with data.”
“To know what kind of data would be more useful. What’s out there, what’s meaningless?”
“I think data gives a small part of the picture. Some of it is very accurate, but I don’t think that it necessarily tells the entire tale, certainly not if you’re just looking at numbers.”
“It’s not so much getting a hold of the data, but applying it that’s the problem.”
How do teachers feel about using data?
“I tend to be somewhat cynical about data.”
“Information is power, but it's also really scary. It takes our staff out of their element.”
Teachers have concerns about data in regards to: Accuracy Quality of data sources and assessments Timeliness Usefulness in the classroom Use for accountability and evaluation
What teachers want from data?
“The problem I see is kids not learning, and if data could zero in on where we can do the most good, in time…”
“We need data that we can manipulate in the school and that can be accessed.”
School-level data Data with an instructional focus Disaggregated data, individual student data Longitudinal data, historical records Behavior data, attendance data Student home and background data Quick access to timely data
What skills do teachers (and building administrators) need?
Assessment literacy and alignment Technology (computers, software, databases) Data management, analysis, and application How to use data to:
Improve learning in our classroom and building Identify strengths and weaknesses in our curriculum and
instruction, and identify strategies for change Target student needs Ask better questions and get better answers To create visual representations Communicate with students, parents and other staff
Supporting information and decision making models
Recognize the role of leaders as sensemaker and that it is at least as important as the role of decision maker
Support PD that encourages building of analytical skills and local data analysis
Make technology investments that support the instructional mission
Make clear degree of alignment between curriculum, PD, and assessments
Data at finer levels of temporal resolution are key to understanding and addressing instructional problems. Local documentation of practice may help.
Needs assessment is a skill that seems to be lacking in most educational training. Rubric-type surveys could serve to education and provide feedback
Information/Flow Inventory:Where does your district fit?
Role Enter Data
Get Data Out
Provide data for lower level use
Provide data for upper level use
Local data for local use
Students
Parents
Teachers
Instruction Support
Special Services
School Administrators
District Administrators
Community Members
Decision support problem space
Existing IT Infrastructure
ProfessionalDevelopment
AccountabilityFramework
ChangingClassroomPractices
Capacity Assessment Tools
Capacity Type
Inquiry Process Technical Organizational
Decision Making /Data Selection
Data Acquisition
Data Management
Analysis and Reporting
Application
Evaluation
Using rubrics to guide the process
1)How well supported are the organizational and personnel issues (meeting time/space provided, work release time provided, leadership guidance, etc.) associated with managing and maintaining data?
Check the statement that best describes your school.
Education Plan Scenario
Assessing Classroom Learning
School Wide Problem
Little or no current support exists.
Current support exists, but is inadequate for current data needs.
Current support is adequate for current data needs, but not for future needs.
Current support is adequate for current and future data needs.
Tracking local assessments: Traditional and Standards-based
Linking to Standards to classroom work and assessments
Dimensions of Organizational Complexity
0 4
Sponsor
Objectives
Unresolved Issues
District Policies
Govt. Regulations
Leadership Team
Time to completion
Geography
Business rules
One
SMART*
Few
Established
Few/Simple
Experienced
Loose/flexible
One location
Established
None/many
Vague
Multiple
Non-existent
Many/complex
Inexperienced
Tight
System-wide
Non-existent
*Specific, Measurable, Achievable, Relevant to strategy, Time specific
Dimensions of Technical Complexity
0 4
Architecture
Technical Novelty
Comm. system
Decision making team
Team location
System platforms
Level of integration
Transaction volume
Fault tolerance
In place
Proven
Proven/stable
Experienced
One
One
Stand-alone
Low
High
Not in place
New
New
Inexperienced
Many
Many
Fully integrated
High
Low
School-level areas of intervention & innovation
School Level Ongoing dialogue about what constitutes relevant evidence
about student and teacher performance towards larger goals
Strategic collection of classroom-level data that supports core goals, not data for data’s sake
Flexibility to combine locally relevant data about practice with external data (district, cross-school, etc.)
Improvements to data access and manipulation
District Level Program identifiers for tracking program impact across
schools Embedding longitudinal models into centrally-held
information Providing ongoing training for teachers and administrators
on data collection and analysis Measuring what we care about rather than the stuff that is
easy to measure