Miami University

About: Miami University is a education organization based out in Oxford, Ohio, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 9949 authors who have published 19598 publications receiving 568410 citations. The organization is also known as: Miami of Ohio & Miami-Ohio.

From the Field: A Proposal for Educating Leaders for Social Justice

Abstract: Purpose: The purpose of this article is to suggest the structure and content of an educational leadership program whose aim is to prepare principals for social justice work. Research Design: The authors have conceptualized foundational components for a comprehensive principalship program focused on social justice. They assert that educational leaders for social justice must have three goals at the forefront of their efforts: (a) They must raise the academic achievement of all the students in their school, that is, high test scores do matter; (b) they must prepare their students to live as critical citizens in society; and (c) both of these goals can only be achieved when leaders assign students to inclusive, heterogeneous classrooms that provide all students access to a rich and engaging curriculum. The components addressed for this social justice–oriented principalship preparation program include (a) how students should be selected for such a program and (b) an outline of the knowledge and content for educating social justice leaders. The importance of induction/praxis after students graduate from these programs is discussed. Conclusions: The aim of this article is to provoke a discussion in the field and spark faculty to engage in ongoing conversations and thinking about their own programs and to imagine new avenues for future research in this area. Faculty also can use these suggestions as a guide to assess their efforts and to bolster program quality, sensitive to the unique needs and schooling contexts of their particular students.

Malleability in communal goals and beliefs influences attraction to stem careers: evidence for a goal congruity perspective.

Abstract: The goal congruity perspective posits that 2 distinct social cognitions predict attraction to science, technology, engineering, or mathematics (STEM) fields. First, individuals may particularly value communal goals (e.g., working with or helping others), due to either chronic individual differences or the salience of these goals in particular contexts. Second, individuals hold beliefs about the activities that facilitate or impede these goals, or goal affordance stereotypes. Women's tendency to endorse communal goals more highly than do men, along with consensual stereotypes that STEM careers impede communal goals, intersect to produce disinterest in STEM careers. We provide evidence for the foundational predictions that gender differences emerge primarily on communal rather than agentic goals (Studies 1a and 3) and that goal affordance stereotypes reflect beliefs that STEM careers are relatively dissociated from communal goals (Studies 1b and 1c). Most critically, we provide causal evidence that activated communal goals decrease interest in STEM fields (Study 2) and that the potential for a STEM career to afford communal goals elicits greater positivity (Study 3). These studies thus provide a novel demonstration that understanding communal goals and goal affordance stereotypes can lend insight into attitudes toward STEM pursuits.

The Cross-Category Effect Mere Social Categorization Is Sufficient to Elicit an Own-Group Bias in Face Recognition

Abstract: Although the cross-race effect (CRE) is a well-established phenomenon, both perceptual-expertise and social-categorization models have been proposed to explain the effect. The two studies reported here investigated the extent to which categorizing other people as in-group versus out-group members is sufficient to elicit a pattern of face recognition analogous to that of the CRE, even when perceptual expertise with the stimuli is held constant. In Study 1, targets were categorized as members of real-life in-groups and out-groups (based on university affiliation), whereas in Study 2, targets were categorized into experimentally created minimal groups. In both studies, recognition performance was better for targets categorized as in-group members, despite the fact that perceptual expertise was equivalent for in-group and out-group faces. These results suggest that social-cognitive mechanisms of in-group and out-group categorization are sufficient to elicit performance differences for in-group and out-group face recognition.