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Collaborative Design of a Tailored
       Advising Program

             Cynthia Shields
            Don Weasenforth
                Collin College
                May 16, 2012

      4th Biennial UNT Advising Conference
Collin College Context
•   3 main campuses
•   50,000 students
•   16/17 FT professional advisors in district
•   DE: centralized unit, 5 departments, 53 FT
    faculty, 4 staff with district-wide
    responsibilities
Advising Pilot
• Designs: prescriptive/developmental; faculty,
  professional advisors, technologies (cf.,
  Heisserer & Parette 2002)
• Faculty advisers (Frost 1991, Heisserer &
  Parette 2002, King & Kerr 2005, McArthur
  2005)
  – Importance of role, training & rewards
• Student needs (Frost 1991, Smith 2007)
  – Confidence, “belonging,” motivation &
    commitment
TIDE Design
• Boylan (2009): Targeted Interventions for
  Developmental Education Students
  – Take inventory of campus/community resources
  – Develop student profiles
  – Assess individual students
  – Advise using assessment
  – Deliver targeted interventions
  – Monitor students
  – Revise interventions as needed
Current Plan: General Parameters
Preliminary Observations
• 340 placed in advising program
• 238 (70%) registered for advising sessions
• 33 (14%) no-shows
• 205 (60%, 86%) attended advising sessions
• Majority placed in lower levels
• Trend toward lower scores
• Problems: incomplete applications (meningitis,
  residency; payment; reassessment; writing placement)
• Personal characteristics: # hours employed, financial
  aid, family responsibilities, native language
Future Program Development
• Evaluation
• Expanding/streamlining program
  – Individual advising for continuing students
  – Identifying students in need of advising
     • TSI completion
     • Cognitive diagnostic tests
     • Non-cognitive diagnostic tests
  – Determining forms of advising based on personal
    profiles (Boylan 2009)
Future Program Development
• Non-cognitive factors (Bloom 1976, Long
  2008, McCabe 2003, Sedlacek 2004)
  – 25% of performance (Bloom 1976)
  – Compensatory relationship (Sedlacek 2004)
  – Affective variables: attitude toward learning,
    motivation, autonomy, willingness to spend time
    on academic tasks
  – Personal characteristics: # hours employed,
    financial aid, family responsibilities, native
    language

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Collaborative Design of a Tailored Advising Program

  • 1. Collaborative Design of a Tailored Advising Program Cynthia Shields Don Weasenforth Collin College May 16, 2012 4th Biennial UNT Advising Conference
  • 2. Collin College Context • 3 main campuses • 50,000 students • 16/17 FT professional advisors in district • DE: centralized unit, 5 departments, 53 FT faculty, 4 staff with district-wide responsibilities
  • 3. Advising Pilot • Designs: prescriptive/developmental; faculty, professional advisors, technologies (cf., Heisserer & Parette 2002) • Faculty advisers (Frost 1991, Heisserer & Parette 2002, King & Kerr 2005, McArthur 2005) – Importance of role, training & rewards • Student needs (Frost 1991, Smith 2007) – Confidence, “belonging,” motivation & commitment
  • 4. TIDE Design • Boylan (2009): Targeted Interventions for Developmental Education Students – Take inventory of campus/community resources – Develop student profiles – Assess individual students – Advise using assessment – Deliver targeted interventions – Monitor students – Revise interventions as needed
  • 6.
  • 7. Preliminary Observations • 340 placed in advising program • 238 (70%) registered for advising sessions • 33 (14%) no-shows • 205 (60%, 86%) attended advising sessions • Majority placed in lower levels • Trend toward lower scores • Problems: incomplete applications (meningitis, residency; payment; reassessment; writing placement) • Personal characteristics: # hours employed, financial aid, family responsibilities, native language
  • 8. Future Program Development • Evaluation • Expanding/streamlining program – Individual advising for continuing students – Identifying students in need of advising • TSI completion • Cognitive diagnostic tests • Non-cognitive diagnostic tests – Determining forms of advising based on personal profiles (Boylan 2009)
  • 9. Future Program Development • Non-cognitive factors (Bloom 1976, Long 2008, McCabe 2003, Sedlacek 2004) – 25% of performance (Bloom 1976) – Compensatory relationship (Sedlacek 2004) – Affective variables: attitude toward learning, motivation, autonomy, willingness to spend time on academic tasks – Personal characteristics: # hours employed, financial aid, family responsibilities, native language

Editor's Notes

  1. CS
  2. CS- 3 main campuses: Frisco, McKinney and Plano, north of Dallas- 50,000 students# professional advisors:16/17 FT advisors
  3. DW
  4. DWMain objectives of pilot:- Provide intrusive intervention- Involve faculty- Plan for scalability-Limit expense
  5. CSIdentification of students after initial TSI assessmentNotification of students (college email, personal email, personal phone)Group/Individual advising – faculty and professional advisorCollege Success course
  6. CSSurvey used at advising sessions to develop student profiles
  7. CS- ENGL0300: 15 students 6.04% - 63/98 (64%) placed in ENGL0300/0305 - MATH0300: 9 students 3.6% - 104/185 (56%) placed in MATH0300/0302 - READ0300: 17 students 6.9% - 126/220 (57%) placed in READ0300/0305
  8. DW
  9. DW