Search results

The purposes of this study were to describe the roles mentors enacted as part of an afterschool science, technology, engineering and mathematics (STEM) program and how those roles varied across three sites and to explain those differences.

The authors used a comparative case study design and collected data primarily from interviews with program mentors and observations of the sessions.

The authors found that the mentors played four roles, depending on the school site: teachers, friends, support and role models. Mentors interpreted cues from the environment in light of their own identities, which ultimately led them to construct a plausible understanding of their roles as mentors.

The authors identify four mentoring roles that are somewhat consistent with prior research and demonstrate that the roles mentors enact can vary systematically across sites, and these variations can be explained by sensemaking. This study also contributes to research on mentoring roles by elaborating each identified role and offering a framework to explain variability in mentor role enactment.

The authors recommend that mentoring program directors discuss the roles that mentors may enact with mentors as part of their training and that they engage mentors in identity work and also recommend that program managers create unstructured time for mentors to socialize outside STEM activities with their mentees.

This study contributes to mentoring research by using sensemaking theory to highlight how and why mentoring roles differ across school sites.

The effective use of student data has gained increasing attention in the past 10 years. Although district leaders would like to support data use and improvement, exactly how to go about such work systemically is often unclear. Accordingly, the aim of this chapter is to illuminate the inner workings of data use throughout a mid-sized school district. In doing so, we highlight issues in how data were used and supported, and provide discussion about how districts such as this one may improve data use throughout the district.

Hiring teachers is among principals' most critical work but what remains uncertain is the relationship between a principal's tenure in a school and the rate at which they hire teachers who will stay. Teacher retention and principal experience are key predictors of school stability. This study therefore investigates the influence of principal tenure on the retention rates of teachers they hire over time.

The authors followed 11,717 Texas principals from 1999 to 2017, and tracked the teachers they hired in each year of their tenure in a school to see if principals became more effective at hiring teachers who stay over time. The authors use regression with fixed effects and find that the longer a principal stayed in a school, the more effective they were at hiring teachers who stay to both three- and five-year benchmarks.

Principals hire significantly more teachers who persist after they have led their first school for five or more years; however, the average principal in Texas leaves a school after four years thus never realizing those gains. The authors' second main finding indicates that principals who enter an unstable school (less than 69% retention in the two years prior to the principal's arrival) and stay at least five consecutive years, can counteract prior instability.

This study provides initial evidence that principals establish a great deal of building-specific situational expertise that is not easily portable or applicable in a subsequent school placement.