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Achieving the Dream:

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Achieving the Dream supports: ... that can cloud interpretation? What else can we do to get a truer and more useful interpretation of results? Principles ... – PowerPoint PPT presentation

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Title: Achieving the Dream:


1
  • Achieving the Dream
  • Assessing Implementation
  • CCPRO
  • February 20, 2007

2
Themes of Achieving the Dream at GTCC
  • Focus on Student Success
  • The Learning College a Reality
  • Front Door Experience
  • Culture of Evidence

3
Culture of Evidence
  • Data collection, publication, analysis, and use
    to guide change is part of the colleges culture.

4
Culture of Evidence Tools
  • Use what we have
  • Colleague, State Data Warehouse
  • Annual surveys
  • Performance Measures/Critical Success Factors
  • Departmental data, Program Review data
  • Existing Survey data (Faces of the Future)
  • Ability to survey, conduct qualitative research,
    research literature
  • Analytic capability
  • Create custom database

5
Plan for Assessment/Evaluation from the beginning.
  • Use data to prepare content of interventions.
  • Determine how to define success.
  • Define measures for that definition.
  • Inventory assessment resources
  • Collect data to identify cohorts involved in any
    intervention.
  • Anticipate the need for control or comparison
    groups.

6
College GOALS
  • Graduation Rate of 20
  • Overall fall-to-fall retention rate at or above
    60.
  • Developmental Education retention rate 55.
  • Improvement in gateway course success of 4 and
    4 for all gender/ethnic groups.

7
Achieving the Dream supports
  • Front Door Experience (Intake, Advising, Initial
    Academic Experience)
  • Professional Development
  • Curriculum development
  • Orientation
  • Learning Communities
  • Study Skills classes
  • Mentoring
  • Transfer Advising Center
  • Realignment of Advising

8
Preparing Interventions
  • Literature review
  • Visit to other institutions
  • Benchmarking
  • Experience
  • Existing data sources

9
Preparing Interventions
  • Experience What do we (faculty and staff) want
    them to know? What do we want to happen because
    they participated?
  • Orientation Eng 112 Class project What do you
    wish you had known? What do other colleges do?
  • Should we have criteria for participation?
  • How can we capture identifying information?

10
Cohort Orientation
  • Student Identifier(s)
  • Characteristics for Comparison
  • Gender
  • Ethnicity
  • Age
  • New/Previous College
  • Motivation?
  • Measures of success

11
Orientation Persistence Rates
Persisted to Spring 2006 Total (N)
Did NOT Attend Orientation 1148 64.3 1784
Attended Orientation 705 78.7 896
Total 1853 69.1 2680
12
Orientation Persistence Rates
13
OrientationAttendance/Success Rates in English
14
Orientation Evaluation Results
  • Fall, 2005 Evaluation Satisfaction
  • Session I 87.7
  • Session II 91.1
  • Session III 94.5
  • They
  • Felt Welcomed
  • Thought staff were knowledgeable
  • Understood the registration process
  • Would encourage others to attend
  • Wanted to Register at the Same Time

15
Orientation Evaluation Results
  • Spring, 2006 Evaluation from satisfaction to
    asking What did they learn?
  • Need to add a tour
  • More hands-on Less material in large group,
    more in smaller groups

16
Study Skills Classes ACA 111
  • Fall, 2006
  • Requirement in Two Programs Paralegal, Office
    Systems Technology
  • Fall, 2007
  • Three additional programs in Business
    Technologies
  • Innovative design
  • Front-load Gateway Courses
  • Infuse program-specific content

17
Gateway Course Success Rates with ACA Linked
Classes
  • Office Systems Technology
  • Fall 2005 87
  • Fall 2004 44 (comparison group)
  • Paralegal
  • Fall 2005 94
  • Fall 2004 60
  • (comparison group)

18
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19
Male Students
20
Female Students
21
Culture of Evidence
  • What were the issues in cleaning these
    persistence data?
  • What are the issues inherent in setting up a
    comparison or control group?

22
Linked Classes 1999-2004Reading 090/English 111
  • Fast Track grant from the State for the purpose
    of identifying ways to get students through
    college faster.
  • Success rates over nine semesters
  • 73 to100, averaged 89.
  • Denied permission to continue.

23
Curriculum Innovations
  • Split Math Class
  • 94 success rate (traditional success rate 60)
  • Now following through subsequent courses
  • Anecdotal data
  • Denied Permission to continue

24
Spring 2006 Transitions Learning Community
  • English 111
  • 88.9 retention control 82.2
  • 83.3 success control 60.7 success
  • Psychology 150
  • 88.9 completion control 82.2
  • 72 success control 52 success
  • ACA 118 (College Success)
  • 88.9 completion control 75.6
  • 66.7 success control 44.4 success

25
Fall 2006 Transitions Learning Community
26
Linked Classes Fall 2006
27
Mentoring
  • Male Mentoring
  • Spring 2006 22 Participants
  • Fall 2006 21 Participants
  • Female Mentoring
  • Fall 2006 25 Participants

28
Mentoring
  • Spring 2006 Retention/Success
  • Course Retention Rate 81.4
  • Overall Course Success Rate 39.5

29
Mentoring Persistence Success
30
Mentoring Learning Communities
  • What happens when you measure small numbers?
  • What are some of the multiple factors that can
    cloud interpretation?
  • What else can we do to get a truer and more
    useful interpretation of results?

31
Principles
  • Start with the end in mind gather the data that
    will help with assessment.
  • Create the right cohort.
  • Collect the data frequently, uniformly.
  • Clean the data.
  • Accumulate data over time to overcome small group
    bias.
  • Need good picture of overall intervention ask
    questions about conditions.

32
Principles
  • Use your experience Does it look right?
  • Are there outliers? Why?
  • Get others to react let your ego go and consider
    what they say.
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