There and Back Again: Exploring Teacher Attrition and Mobility with Two Transitioning Science Teachers

This study chronicled the professional journeys of two beginning science teachers. The focus of the research effort documents what brought them to science teaching and investigated their resulting career paths. Data artifacts for this instrumental case study approach included: interviews, written survey responses, personal communications and member checks. All data was transcribed and coded into emergent categories using a constant comparative analysis approach. The findings indicated that their decisions to enter and leave teaching were a complex mélange of issues that included career disposition, notions of isolation, overarching culture of the school, and future possibilities. However, most striking was their re-entry into teaching on a temporary basis after considerable time away from the classroom, which suggests that teachers develop a sense of agency regarding their career decisions. This may require researchers to reconsider how we view teacher decision-making within the context of teacher attrition and mobility. Implications for science teacher education indicate that some teachers may enter the profession considering teaching to be a transition into a different career path. Secondary science teachers may perceive multiple career options (beyond the classroom) based on their preparation and teaching experience. Further implications and possibilities for science teacher education are discussed.     

Accelerating chronically unresponsive children to tier 3 instruction: what level of data is necessary to ensure selection accuracy?

Response-to-intervention (RTI) approaches to disability identification are meant to put an end to the so-called wait-to-fail requirement associated with IQ discrepancy. However, in an unfortunate irony, there is a group of children who wait to fail in RTI frameworks. That is, they must fail both general classroom instruction (Tier 1) and small-group intervention (Tier 2) before becoming eligible for the most intensive intervention (Tier 3). The purpose of this article was to determine how to predict accurately which at-risk children will be unresponsive to Tiers 1 and 2, thereby allowing unresponsive children to move directly from Tier 1 to Tier 3. As part of an efficacy study of a multitier RTI approach to prevention and identification of reading disabilities (RD), 129 first-grade children who were unresponsive to classroom reading instruction were randomly assigned to 14 weeks of small-group, Tier 2 intervention. Nonresponders to this instruction (n = 33) were identified using local norms on first-grade word identification fluency growth linked to a distal outcome of RD at the end of second grade. Logistic regression models were used to predict membership in responder and nonresponder groups. Predictors were entered as blocks of data from least to most difficult to obtain: universal screening data, Tier 1 response data, norm referenced tests, and Tier 2 response data. Tier 2 response data were not necessary to classify students as responders and nonresponders to Tier 2 instruction, suggesting that some children can be accurately identified as eligible for Tier 3 intervention using only Tier 1 data, thereby avoiding prolonged periods of failure to instruction.