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Full-Text Articles in Education

Integrating Implementation Fidelity And Learning Improvement To Enhance Students’ Ethical Reasoning Abilities, Kristen L. Smith May 2017

Integrating Implementation Fidelity And Learning Improvement To Enhance Students’ Ethical Reasoning Abilities, Kristen L. Smith

Dissertations, 2014-2019

Examples of demonstrable student learning improvement in higher education are rare (Banta, Jones, & Black, 2009; Banta & Blaich, 2011). Perhaps because outcomes assessment practices are disconnected from pedagogy, curriculum, and learning improvement. Through partnership with the Madison Collaborative, the current study aimed to bridge this disconnect. Specifically, researchers applied implementation fidelity methodologies (O’Donnell, 2008) to an academic program, under the guiding framework of the Simple Model for Learning Improvement (Fulcher, Good, Coleman, & Smith, 2014). In doing so, researchers helped faculty create and elucidate an ethical reasoning educational intervention and accompanying fidelity checklist. Both were well-aligned with a University-level …


You Only Live Up To The Standards You Set: An Evaluation Of Different Approaches To Standard Setting, Scott N. Strickman May 2017

You Only Live Up To The Standards You Set: An Evaluation Of Different Approaches To Standard Setting, Scott N. Strickman

Dissertations, 2014-2019

Interpretation of performance in reference to a standard can provide nuanced, finely-tuned information regarding examinee abilities beyond that of just a total score. However, there is a multitude of ways to set performance standards yet little guidance regarding which method operates best and under what circumstances. Traditional methods are the most common approach adopted in practice and heavily involve subject matter experts (SMEs). Two other approaches have been suggested in the literature as alternative ways to set performance standards, although they have yet to be implemented in practice. Data-driven approaches do not involve SMEs but rather rely solely upon statistical …