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Developed by

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Title: Developed by


1
Conceptual Framework for Evaluation Assessment
of theNational Science Foundation (NSF)Alliance
for Graduate Education the Professoriate (AGEP)
Program
  • Developed by
  • Yolanda S. George, AAAS Education Human
    Resources Programs and
  • Patricia Campbell, Campbell-Kibler Associates,
    Inc.
  • With input from the AGEP Community

2
Goal of AGEP
  • The goal of the AGEP program is to increase the
    number of underrepresented minority students
    pursuing advanced study, obtaining doctoral
    degrees, and entering the professorate in STEM
    disciplines (including social sciences).
  • Alliances participating in this program are
    expected to engage in comprehensive institutional
    cultural changes that will lead to sustained
    increases in the conferral of STEM doctoral
    degrees, significantly exceeding historic levels
    of performance.

3
Specific objectives of AGEP are
  • (1) to develop and implement innovative models
    for recruiting, mentoring, and advancing minority
    students in STEM doctoral programs, and
  • (2) to develop effective strategies for
    identifying and supporting underrepresented
    minorities who want to pursue academic

4
The primary goal of the AGEP Program evaluation
capacity building project is to
  • Help AGEP awardees to build a comprehensive
    evaluation and assessment infrastructure to
    examine their graduate education enterprise in
    terms of broadening participation in the STEM PhD
    workforce

5
The evaluation framework and model for change are
focused on graduate student affairs, including
  • Recruitment and talent spotting strategies.
  • Admissions and selection processes.
  • Financial aid, particularly as it affects new
    graduate student enrollment and retention.
  • Academic preparation support programs,
    particularly during the early course-taking
    years.
  • Advising, mentoring, and retention.
  • Workforce preparation.
  • PhD career counseling and employment placement.

6
Key Administrators Using Evaluation Assessment
to Make informed Decisions
  • Graduate School and Academic Deans Provosts and
    Other Administrators
  • SE Department Chairs
  • SE Departmental Admissions and Selection
    Committees
  • SE Departmental Graduate Program Directors or
    Advisors
  • SE Faculty

7
Collection And Use Of Disaggregated Data
  • Race/Ethnicity
  • Gender
  • Citizenship
  • SE Departments

8
Quantitative data should be used to examine
patterns and trends in number and percentage of
  • UM applicants admits
  • New or first time UM enrollees
  • Overall UM enrollment
  • UM students advancing to doctoral candidacy
  • UM students completing degrees (Masters or PhD).
  • Post PhD Employment

9
Indicators of Infrastructure Changes in Graduate
Programs
  • Data collection practices at the graduate school
    level, particularly use of disaggregated data in
    decision-making.
  • SE departmental practices related to graduate
    student admissions and selection.
  • SE departmental practices related to academic
    preparation, early year course taking, advising
    and workforce mentoring
  • SE departmental practices related to faculty
    evaluation and incentives.
  • Family leave policies and practices within the
    graduate school or departments, as related to
    graduate students.

10
Points of Intervention for Retention
  • Departmental environment and PhD completion
  • Mentoring and PhD completion
  • Faculty attitudes about retention in PhD programs
    vs government investment (Dispelling myths about
    retention in PhD programs)
  • Chairs leadership on PhD completion and mentoring
  • Information flow to students about milestone to
    the PhD and feedback about progress towards the
    PhD
  • Graduate student integration into the
    intellectual community
  • Attention to graduate student research
    productivity (impact on postdoctoral fellowship
    opportunities or academic employment)
  • What can we do about students who are thinking
    about leaving? How can we spot them?

11
Also, data and information need to be collected
on
  • The quality of the implementation including
    participants and/or external reviewers
    perceptions about the intended objectives of a
    workshop or program component.
  • Time-on-task
  • The effectiveness of the interventions or to what
    extent did the intervention achieve its intended
    objectives.

12
Quantitative and qualitative studies about
policies, practices, and programs in the Graduate
School SE departments should be used to
determine
  • What is working and not working?
  • What works for whom?

13
In Summary
  • This is a community effort.
  • The framework is evolving
  • This is not an easy journey, neither is it one
    that can be completed quickly
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