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Published byAnnabella Townsend Modified over 9 years ago
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Draft of the Conceptual Framework for Evaluation & Assessment of the National 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
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Help AGEP awardees to build a comprehensive evaluation and assessment infrastructure to examine their graduate education enterprise in terms of creating a diverse S&E PhD workforce. The primary goal of the AGEP Program evaluation capacity building project is to:
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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. The evaluation framework and model for change are focused on graduate student affairs, including:
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Graduate School and Academic Deans Provosts and Other Administrators S&E Department Chairs S&E Departmental Admissions and Selection Committees S&E Departmental Graduate Program Directors or Advisors S&E Faculty Key Administrators Using Evaluation & Assessment to Make informed Decisions
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Race/Ethnicity Gender Citizenship S&E Departments Collection And Use Of Disaggregated Data
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UM applicants & admits New or first time UM enrollees; Overall UM enrollment; UM students advancing to doctoral candidacy; UM students completing degrees (Master’s or PhD). Post PhD Employment Quantitative data should be used to examine patterns and trends in number and percentage of:
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Number and percentage of S&E departments involved Number of S&E faculty involved Number of S&E faculty involved in graduate student recruitment. S&E departmental practices related to graduate student admissions and selection. S&E departmental practices related to academic preparation, advising and workforce mentoring S&E departmental practices related to faculty evaluation and incentives. Family leave policies and practices within the graduate school or departments. As related to graduate students. Data collection practices, particularly use of disaggregated data, at the in decision-making. Indicators of Infrastructure Changes in Graduate Programs
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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. Also, data and information need to be collected on
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Quantitative and qualitative studies about policies, practices, and programs in the Graduate School & S&E departments should be used to determine What is working and not working What works for whom.
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Using the meeting to begin to reflect on infrastructure changes in graduate schools How building a comprehensive evaluation and assessment infrastructure How to better work with institutional researchers, other campus research units, external evaluator How to involve S & E departments
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AGEP Program Director will review Expectations NSF HRD Evaluation Office & Performance Assessment Lessons Learned by Some AGEP Institutions Strand 1 --Building a data collection infrastructure related to graduate students and their progression to the PhD.
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CGS PhD Completion Project Working with STEM departments and faculty to ensure retention in PhD programs, particularly during the first years of graduate school Strategies for helping students to be successful on qualifying exams Strategies to reduce time to degree Strand 2 Retention & Progress to the PhD
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Strand 3 Assessing recruitment and departmental admissions/selections efforts.
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Other Agenda Elements Foundation & Discipline Perspectives NSF Director Using WebCASPAR Update on AGEP Data Collection NSF Director
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This is a community effort. The framework is evolving This is not an easy journey, neither is it one that can be completed quickly In Summary
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