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Implementing case study design to evaluate diverse institutions and STEM education contexts: Lessons and key areas

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Summary

Case study research offers valuable insights for evaluating student-centered STEM programs. Lessons learned from the NIH-funded BUILD initiative emphasize practical logistics, clear goals, knowledge sharing, and collaboration for effective program evaluation.

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Area of Science:

  • Higher Education
  • STEM Education
  • Program Evaluation

Background:

  • Student-centered programs and STEM initiatives in higher education require robust evaluation methods.
  • The Diversity Program Consortium's Building Infrastructure Leading to Diversity (BUILD) initiative aimed to increase diversity in the NIH-funded workforce.
  • Case study research provides a framework for in-depth program analysis.

Purpose of the Study:

  • To highlight the contributions of case study research to evaluating STEM initiatives.
  • To share lessons learned from the case study evaluation of the NIH's BUILD initiative.
  • To provide guidance for administrators and evaluators of multisite STEM programs.

Main Methods:

  • Utilized case study research design for evaluating the BUILD initiative.
  • Summarized practical considerations for logistics in multisite program evaluation.
  • Focused on fostering knowledge continuation and collaboration within evaluation teams.

Main Results:

  • Case study evaluation provided critical insights into the BUILD initiative.
  • Identified key lessons for designing and implementing case studies in STEM program evaluation.
  • Highlighted the importance of trust-building and collaboration throughout the evaluation process.

Conclusions:

  • Case study research is a vital methodology for evaluating complex STEM initiatives.
  • Effective evaluation requires careful planning, clear objectives, and strong collaborative relationships.
  • Lessons from the BUILD initiative can inform future program evaluations in higher education STEM.
  • Emphasized the importance of practical considerations and knowledge management in evaluation design.