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May 16, 2026Intersection A Journal at the Intersection of Assessment and Learning0 citationsOpen Access

Accelerate to Make It Slow: Principles and the Pace of assessment.

DGDonald H. Gaff

Key Points

  • The research aims to explore how the University of Northern Iowa implemented changes to improve assessment processes. It highlights the importance of slowing down to enhance stakeholder engagement and meaningful evaluation.
  • Case study of the University of Northern Iowa's assessment culture
  • Implementation of ACCELERATE principles in their general education program UNIFI
  • Use of faculty workshops to evaluate student artifacts
  • Enhanced assessment culture recognized by NILOA
  • Successful embedding of assessment in strategic planning for deeper learning
  • Visible improvements in learning outcomes due to collaborative and transparent evaluation processes

Abstract

Assessment often feels like a race—administrative, accreditation, and legislative pressures push institutions toward quick fixes and a compliance mindset. Meaningful assessment requires slowing down to engage stakeholders, revise tools, and contemplate results. This case study details how the University of Northern Iowa (UNI) invested in structural change to “make it slow,” embedding ACCELERATE principles in assessment, especially in its innovative general education program, UNIFI. UNI’s NILOA-recognized assessment culture includes annual program reporting, seven-year Academic Program Reviews, and co-curricular assessment, reflecting Aligned Purposefully, Collaborative and Co-Creative, and Transparent & Trustworthy principles. UNIFI illustrates how accelerating reform enables deliberate improvement. Built on assessable outcomes, UNIFI uses faculty workshops to score authentic student artifacts, demonstrating UNI’s commitment to Learning-Centered, Responsiveness-Oriented, and Enduring and Evolving practices. By embedding assessment in strategic planning and leveraging data for improvement, UNI shows that accelerating structural change creates the time and space for deep learning improvement.

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Cite This Study

Donald H. Gaff (2026) studied this question.

synapsesocial.com/papers/6a080a71a487c87a6a40c5b7https://doi.org/10.61669/001c.162234
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