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NAVMEC Feedback Data Analysis For NAVMEC Board of Directors

NAVMEC Feedback Data Analysis For NAVMEC Board of Directors. Ken Andrews May 12, 2011. All Respondents. * Includes written feedback after in-person presentations. All Respondents: Gender. All Respondents: Age Ranges. All Respondents: Race/Ethnicity. All Respondents: Employment Status.

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NAVMEC Feedback Data Analysis For NAVMEC Board of Directors

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  1. NAVMEC Feedback Data AnalysisFor NAVMEC Board of Directors Ken Andrews May 12, 2011

  2. All Respondents * Includes written feedback after in-person presentations

  3. All Respondents: Gender

  4. All Respondents: Age Ranges

  5. All Respondents: Race/Ethnicity

  6. All Respondents: Employment Status

  7. All NAVMEC Recommendations

  8. All Respondents: Support + Strongly Support (%) All Respondents: Support + Strongly Support + Neither Support or Not (%)

  9. Number of Respondents in a Range Number ofRespondents 1=Strongly Not Support 2=Not Support 3=Neither (Neutral) 4=Support 5=Strongly Support 20 Topics Maximum score = 100 Average/person = 81.2 Average/person/topic = 4.1

  10. Differences between Academics & Non-Academics In the following two slides (11 + 12), the Survey Monkey responses have been separated into 2 populations: academics & non-academics (mostly ‘employers’). • Slide #11: distribution of responses for each group, considering all 20 recommendations • Slide #12: the upper graph shows the percentage of each group which Strongly Support or Supports each recommendation.The lower graph shows the difference between these percentages (e.g. if 80% academics and 92% non-academics are supportive, the difference in 12%).In both graphs, the horizontal lines are averages.

  11. All NAVMEC Recommendations: Academics All NAVMEC Recommendations: Non-Academics

  12. All NAVMEC Recommendations: Academics All NAVMEC Recommendations: Non-Academics

  13. Support + Strongly Support (%) Support + Strongly Support (%): Differences

  14. 6.1.1 Adopt NAVMEC Core Competencies

  15. 6.1.2 All competencies integrated across curriculum (all years)

  16. 6.1.3 NAVMEC competencies are in standards

  17. 6.1.4 NAVLE review for optimal assessment of competencies

  18. 6.2.1 Uniform core admissions requirements

  19. 6.2.2 Collaboration on pre-veterinary programs - option of early entry

  20. 6.2.3 Competency-driven curricula

  21. 6.2.4 Integrated teaching, PBL

  22. 6.2.5 Create "One Health" curriculum

  23. 6.3.1 AAVMC panel to review "education sharing models"

  24. 6.3.2 AAVMC creates inventory of shareable courses

  25. 6.3.3 Create AAVMC Tech Support Center

  26. 6.4.1 PR campaign for fundraising

  27. 6.4.2 Student loan-restructuring, debt forgiveness

  28. 6.4.3 Schools provide financial counselling

  29. 6.4.4 Advocate pre-tax deductions

  30. 6.5.1 NAVMEC Teams at all CVMs

  31. 6.5.2 Web-based networking

  32. 6.5.3 Initiate the Implementation Plan

  33. 6.5.4 Attract investments for NAVMEC-Implementation

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