There has yet to be consensus within the field on whose and what criteria, or values, should be used to judge program worth. Furthermore, evaluators continue to grapple with decisions about which ...stakeholder values are to be included in evaluation, and if evaluators should be advocating or prescribing certain values or not. This introduction very briefly highlights the discourse associated with valuing in evaluation and summarizes the four articles in the Values in Evaluation Praxis section.
This article aims to describe the implementation, evaluation, and outcomes associated with a science, technology, engineering, and mathematics (STEM) research fellow experience at an historically ...Black college and university (HBCU) funded by the National Science Foundation. This experience, Polymer Research, was part of a multipronged approach for infusing polymers into the General and Physical Chemistry curricula. After briefly reviewing the literature on broadening participation in STEM and undergraduate research experiences, the authors provide a description of the context, evaluation, and project outcomes and conclude with a discussion on project impact and the role of HBCUs in training and graduating underrepresented students in STEM.
This addresses the question, "To what degree can design projects integrated into the Chemical and Biomolecular Engineering (ChBE) curriculum affect student confidence in their design skills and ...perceptions of ChBE as a whole?" To answer this question, students were evaluated on their confidence with engineering design and their satisfaction with ChBE as a discipline before and after the design projects, as well as their perceived learning outcomes after completing the design projects.
Recent research has investigated the phenomenon of facial feature based stereotyping. The current study is the first to manipulate gender and Afrocentric facial features in an Implicit Association ...Test (IAT). It is also the first to use a diverse sample that includes White, Black, Latino and Asian participants. Explicit racial attitudes were first assessed and then followed by an IAT. Several findings emerged. First, Black participants had higher Pro-Black attitudes relative to White, Latino and Asian participants. Second, White participants had a higher level of color blind attitudes compared to both Black and Latinos. Third, White, Asian, and Latino participants had an implicit preference for the positive White condition whereas Black participants had no such preference. Fourth, there was an implicit preference for male compared to female target faces that did not differ based on the sex of the participant. Finally, higher levels of both anti-Black and color-blind attitudes uniquely predicted implicit preferences for White over Black. Taken together, these findings enhance our understanding of the factors that impact implicit preferences.
