Glfes summer institute2013_raleigh_final
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Welcome!Please …1. Take a seat with your grant team members (or
anywhere if you are solo).2. Grab some coffee.3. Complete the GLF Evaluation Capacity Assessment.4. Get connected to the wireless network: NCSU
Guest. Instructions are in your folder.5. Get access to the GLF Essential Skills Evaluation
“Moodle” website (where we will organize project information). Instructions are in your folder.
Accessing the Moodle Website
Before we get started, we want to make sure everyone has successfully accessed the private Golden LEAF Essential Skills
Evaluation Moodle website.
• Instructions are in your folder.• Raise your hand if you are having
difficulty and an evaluation team member will assist you.
Golden LEAF Essential Skills Initiative
Summer Evaluation Institute
June 27, 2013The Friday Institute – Raleigh, NC
Golden LEAF Essential Skills Initiative Evaluation Team
The Friday Institute at NCSU• Jeni Corn• Latricia Townsend• Rob Maser• Malinda Faber• Laurie Brummit
NCSU College of Education• Diane Chapman• Julia Storberg-Walker
NC Community College System• Kristen Corbell
Agenda
• Welcome and Introduction• The Evaluation Process & Logic Models• Team Logic Modeling• LUNCH• Asking Good Questions• Balanced Scorecard• BREAK• Culture of Curiosity & Data Definitions• Closing and Q&A
The Golden LEAF Essential Skills Initiative
“Supporting collaborative programs aimed at increasing the talent pool of a highly skilled technical workforce aligned with identified employment opportunities in tobacco-dependent, economically distressed and/or
rural communities of North Carolina.”
14 Grants22 Community Colleges
14 School Districts
The Initiative Evaluation
• Grant artifacts• CC registrar data• Student surveys• Instructor surveys• Employer surveys• Focus groups• Interviews• NC Education Research Data Center
administrative data• NC Community College System
administrative data• Employment Securities Commission
workforce data
Evaluation Questions Data Sources
TBD
Who Is in the Room?
One person from each grant team stand up and please share:
•What Community Colleges your team is representing• One sentence description of your
grant’s main focus
The Evaluation Process
Plan, Do, Study, Act (PDSA)
Loyola University Stritch School of Medicine, 2011, http://www.stritch.luc.edu/lumen/MedEd/softchalkhdht/CMEFacDevWebPage/CMEFacDevWebPage10.html
CYCLE OF CONTINUOUS IMPROVEMENT
Five Evaluation Steps
1. Logic Model: Identify the critical elements of the workforce development program.
2. Evaluation Questions: Ask important questions about your workforce development program.
3. Data Sources: Identify what data are available to help answer your questions and determine the additional data needed.
4. Data Analysis: Collect, analyze, and interpret data to answer your questions.
5. Decisions: What changes to your workforce development program should you make based on your result.
Repeat steps 1-511
Communicate & Collaborate
• Include key people in the evaluation planning process:• Especially the primary users of
the results.• This is a great opportunity to
build a shared understanding and buy-in for your project.
• Communicate regularly that this is on-going process of improvement – “This is not a gotcha evaluation.”
Keep it Simple and Focused
• An evaluation doesn’t have to be big! Match the number of evaluation questions in your plan to your resources.
• Focus on efficient, effective data collection strategies.
A basic chart is a great way to organize your own thinking and to share easily the plan with others. Evaluation Questions
Data Sources
STEP 1: Logic Model
Identify the critical elements of the workforce development program
Formative Evaluation Steps
1. Logic Model: Identify the critical elements of the workforce development program.
2. Evaluation Questions: Ask important questions about your workforce development program.
3. Data Sources: Identify what data are available to help answer your questions and determine the additional data needed.
4. Data Analysis: Collect, analyze, and interpret data to answer your questions.
5. Decisions: What changes to your workforce development program should you make based on your result.
Repeat steps 1-5
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ACTIVITYWrite answers to questions 1-3, answering them in that order, on post-its. You will likely have multiple answers - write one idea per post-it.
1. Ultimately, what good is your program going to do (for students, employers, etc.)?
2. If you are successful implementing grant activities, what will your program accomplish this year?
3. What are the major activities of your program? (How are you going to spend your time, money, and other resources?)
Arrange your post-its on a piece(s) of paper from left to right, from major activities (3), to immediate results (2), to the ultimate good the program is going to do (1).
3 2 1 .
What is a logic model?
A logic model is a graphic representation of the
relationships among the key elements of a project: • inputs, • strategies, • objectives, • long-term goals.
A logic model …
• Helps to articulate the key elements of the project.
• Enables evaluation efficiency and effectiveness.
• Promotes stakeholder buy-in by helping clarify how the project works.
• Provides a great opportunity to involve stakeholders in planning.
They are living documents – they can change over time!
What is a logic model?
What is a logic model?
www.ScienceCartoonsPlus.com
What is a logic model?
Inputs Activities Outputs Short-term Outcomes
Medium-term Outcomes
Long-term Outcomes
What is invested in the process? Time, money, human
resources, partners,
equipment, etc.
What are the major
activities the program will entail? What will be done
with the time, money, etc.?
How many participants
are involved? How many teachers and/or
students are reached? What is
produced?
Within life of grant:
What changes in knowledge,
skills, attitudes,
motivations, or awareness
resulted?
Within 1-3 Years:
What changes in behaviors,
practices, policies, or procedures resulted?
After 3 or more Years:
What are the ultimate goals
and did changes results? Student
achievement, teacher
retention, school culture,
etc.
What is a logic model?Terms aren’t consistently used … meaning is what matters.
What is a logic model?
Whenever possible, it is helpful to try to use the “SMART Goals” strategy for creating your target
outcomes:
SpecificMeasurableAttainableResults-orientedTime-bound
E.g.: Increase number of students taking advanced science courses by 25% by fall 2015.
Strategies Short Term Goals Long Term Goals
Regional career work-based experiences supported by business community
Partnerships to provide enrichment activities for students and differentiated PD for teachers
Curriculum alignment for vertical and cross curriculum through PLCs
Increased access to content specific technology for science and math
Increase enrollment in Algebra 1 for middle school students and upper level math and science
Increase percentage proficiency in Math and Science
Increase use of inquiry-based learning in lessons
Raise STEM interest and awareness
Increase student engagement and achievement in the STEM courses
23
Development of Leadership for supporting STEM instruction
PD in Inquiry-Based learning
Increase student interest and teacher awareness in STEM careers
Promote STEM educator effectiveness through professional development
Early diagnosis and intervention for college readiness assessment
Team Logic Modeling 11:00am – 12:15pm 1. In your grant teams, on a computer, draft a logic
model for your grant. (Use PPT, Word, Inspiration, …) 2. After drafting your logic model, reflect on your PMPs
- are there changes you want to make? 3. (You will get another 20 minutes to reflect on your PMPs in the afternoon.)
Lunch!12:00 – 12:30pm
Pack up your tables a little, grab lunch, and find a new table to sit at
with a conversation topic you’re interested in (look for table tents).
THIS AFTERNOON: Asking Good Questions; Balanced Scorecard; Community College System Data Initiative.
Asking Good Evaluation Questions
Formative Evaluation Steps1. Logic Model: Identify the critical elements of the workforce
development program.
2. Evaluation Questions: Ask important questions about your workforce development program.
3. Data Sources: Identify what data are available to help answer your questions and determine the additional data needed.
4. Data Analysis: Collect, analyze, and interpret data to answer your questions.
5. Decisions: What changes to your workforce development program should you make based on your result.
Repeat steps 1-5
27
ACTIVITY
What do you think of when you think of the term “evaluation question”?
Look at your logic model. Jot down 1 or 2 examples of what you think could be evaluation questions for your program.
Developing Evaluation Questions• Evaluation questions provide the direction and
foundation for the entire evaluation.• The process for identifying the questions to be answered
by the evaluation is critical.
EVALUATION QUESTIONS
Data Collection
Data Analysis
Results
Developing Evaluation Questions
Why do we need to ask good questions?
• To determine what is really important, and to whom• Considering “to whom” will help you when you need to
decide what kind of data you want to collect to answer the particular question.
• To focus data collection efforts• What do we need to find out?• How will we collect that information?
Developing Evaluation Questions
Every evaluation question can’t be answered - finding out the answers costs time, money and people. Pick the most important questions that provide the most valuable information to users.
Keep it Simple and Focused
• An evaluation doesn’t have to be big! Match the number of evaluation questions in your plan to your resources.
• This will help you focus on efficient, effective data collection strategies.
A basic chart is a great way to organize your own thinking and to share easily the plan with others.
Evaluation Questions
Data Sources
Developing Evaluation Questions
The main types of evaluation questions are:
1. Questions about STRATEGIES: these questions ask about how well the strategies were implemented.
2. Questions about OBJECTIVES: these questions ask about impacts.
Logic models are great guides for developing evaluation questions.
Developing Evaluation Questions
Quick tips for writing good questions:
1. Try to avoid simple “yes or no” questions2. Consider QUANTITY questions, e.g:
– “How many”– “How much”– “How often”
3. Consider QUALITY questions, e.g.:– “How well”– “How effectively”– “In what ways”
4. Be able to be tuned-in to unexpected results.
Developing Evaluation Questions
IMPLEMENTATION/STRATEGY questions:
- How many hours of sleep am I getting each week? (quantity)
- How soundly am I sleeping? (quality)
IMPACT/OBJECTIVE questions:
- How much weight have I lost? (quantity)
- How has my stress level changed? (quality)
ACTIVITYBrainstorm a list of evaluation questions, and write them down.
1. Brainstorm implementation questions about the program’ strategies
For example:THE STRATEGY IS: Teachers attend 4 quarterly sessions on science kits.A QUANTITY QUESTION: How many faculty/staff attended the sessions? A QUALITY QUESTION: How did the participants rate the quality of the sessions?
2. Brainstorm impact questions to evaluate how well the outcomes are being met.
Crosswalk your list of evaluation questions with your PMP. Do the activities and outcome measures in your PMP capture all of your evaluation questions and the data you would use to answer them? Fill in any gaps.
Balanced Scorecard
What is the Balanced Scorecard?• A 4-quadrant framework that provides a comprehensive
picture of performance• Originally designed for business and industry, now regularly
adapted to different sectors– Original four quadrants are financial, customer, internal processes,
learning and growth
• Adapted to the GLF Essential Skills project, the quadrants are partnerships, workforce education, internal processes, learning and growth
• GLF evaluation objective: Aggregate reporting of four quadrants
Development of the Balanced Scorecard
Combined Evaluation
Strategy
Workforce Education
Internal ProcessPartnerships
Learning & Growth
Combined Evaluation
Strategy
Workforce EducationOutcomes associated with changes
in educational access and achievement including dual degree
and 3rd party certifications
Internal Process
Outcomes associated with changes in enrollment and capacity
PartnershipsOutcomes associated with partners
(community, industry, education) including partnership strength,
activities and impact
Learning & Growth
Outcomes associated with changes in grantee knowledge, skills,
attitudes, and capabilities
Essential Skills Evaluation Balanced Scorecard
Gallery Walk – What are the data sources?
Combined Evaluation
Strategy
Workforce Education
Increase access to programs in targeted areasIncrease program completion in targeted areas attributed to grant proposal and collaborative partnershipsIncreased dual degree opportunities attributed to grant proposal and collaborative partnershipsIncrease in 3rd party credentials attributed to grant proposal and collaborative partnerships
Internal Process
Increase enrollments in targeted courses and programs Increase capacity attributed grant proposalIncrease capacity attributed collaborative relationships
Partnerships
Increase students servedIncrease student employment in targeted industriesStrengthen and increase targeted industry partnershipsIncrease activity with partners
Learning & Growth
Increase learning attributed to collaborative partnerships
(community, students, industry, colleges)
Break!
For 10 minutes.
Hope Opportunity Jobs
Dr. Kristen Corbell, Coordinator of Research ProjectsNorth Carolina Community College System Office
Basic Skills Focus Area Team Chair, Data Initiative Coordinating Team member, Data Access and Advisory Team member, External Sources Focus Area Team Member
Data InitiativeOverview
04/10/2023
Hope Opportunity Jobs
Data Initiative Overview
The Data Initiative includes the review, assessment and revision of our current data collection and reporting processes that results in a robust data system which provides accurate and accessible informationfostering a culture of data-driven decision making which addresses research questions and informs policies. 44
Hope Opportunity Jobs
Data Initiative Motivation• Concerns over data quality at the college and state level
• Increasing demands for data from federal, state, and grant-providing agencies/organizations
• Expectations of collaboration between state agencies to share data
• The disconnect between data access and decision makers at the college and state level
• Increasing demands on colleges from accreditation bodies to practice and exhibit informed decision-making
• Current reporting tools do not adequately supporting the increasing research and reporting demands
• The need to ensure policies are based on sound data 45
Hope Opportunity Jobs
Data Initiative Objectives• Expand the individual and collective inquisitiveness of stakeholders
within the NC Community College System to ask research questions that inform decisions and policies.
• Develop data definitions based on research needs and reporting requirements.
• Ensure data quality and consistency through appropriate and uniform entering and collecting of information across the System so data extracted are valid and reliable.
• Incorporate a data review process that ensures accountability through the validation of submitted data.
46
Hope Opportunity Jobs
Data Initiative Objectives• Develop focused topic-based data marts that will serve a wide
variety of analytical research needs including, but not limited to, strategic initiatives, grants, and business and student centric needs.
• Expand information accessibility by making all data users aware of the availability of predefined reports, web-based dashboards, statistical software, and training.
• Enhance advanced analytical capabilities to empower researchers focusing on specific topics and initiatives.
• Utilize research findings and reports to educate policy makers on the extent to which various factors impact outcomes, including student enrollment, student learning, student completion, faculty and staff development, budget allocation, etc. 47
Hope Opportunity Jobs
ContinuousImprovement Cycle
Hope Opportunity Jobs
Culture of Curiosity / Strategic Initiatives
49
Culture of Curiosity
Represents individual and collective inquisitiveness to ask research questions that inform decisions and policies
Data Needs•Strategic Initiative Variables•Reporting Mandates•Research Needs
Data Definitions
Developed based on research needs and reporting requirements
Hope Opportunity Jobs
How the Essential Skills Grant fits in with the Culture of Curiosity
• Within this grant you are asking questions about how the innovation at your college(s) is impacting student success and employment outcomes. These questions are building your culture of curiosity.
• From your questions, you are identifying the data that will be collected to answer the questions.
• For analysis throughout and at the end of the grant, all data must be collected with clear definitions from the beginning and carried throughout.
10/17/2012
Hope Opportunity Jobs
Data Quality, Consistency, and Accountability
51
Data Quality and Consistency Ensures information is collected and entered appropriately and uniformly across the system so data extracted for reporting purposes is valid and reliable
Data DefinitionsDirect what, where, when, and how information is entered into the data collection systems
Data Entry Proper understanding of data definitions will sustain the quality of the data collection and reporting processes
Data ReviewProcess which ensures accountability through the validation of data submitted for reporting purposes
Hope Opportunity Jobs
How the Essential Skills Grant fits in with Data Quality and Consistency
• Using the data definitions, your college should ensure that the data are collected and entered uniformly.
• We would suggest reviewing the data entered prior to submission to ensure the data make sense. For instance, make sure dates entered are logical, program codes are correct, and student grades are recorded on time for submission with the semester files.
10/17/2012
Hope Opportunity Jobs
Data Collection and Warehousing
53
Data Extraction, Transformation, and LoadingProcedural routines of extracting data files from local systems to a centralized warehouse
Data MartsThe creation of specific data sets dedicated to strategic initiatives and research focus areas
Data AccessThe ability to query variables within data marts for basic informational purposes and detailed research needs
Data Collection and WarehousingCentralized and technical processes that impact the way in which data is transferred and transformed between data systems and stored for reporting purposes
Hope Opportunity Jobs
Culture of Evidence / Policy Implications
54
Culture of Evidence / Policy Implications•Determination of optimal decisions and policies based on the analysis and reporting of collected data•Likely to result in development of additional research and evaluation needs
General ReportingAutomated informational reports updated routinely
Advanced AnalyticsResearch and analysis focused on specific topics and initiatives to inform current and future practices.
Research Findings & ReportingEducate policy makers on the extent of impact of various factors on outcomes, including student learning and progress
Wrap-Up
Calendar of Evaluation Activities – Year One
ACTIVITY DATESummer Institute 2013 June 2013Grant Coordinator Phone Interview Fall 2013Site Visit Fall-Spring 2013Surveys Winter 2014
Please Take 5 Minutes to Complete Survey
Go to GLF ES Moodle site.
Go to the Summer Institute 2013 Section
Click on the Essential Skills Professional Development Summer 2013 Survey link.
Thank you.
Thank You
Questions? Comments? Concerns?
Have a good trip home!
Michael Maslin Item #: 8476186