“What’s the Middle Ground? Am I Ever Going to be the Perfect Teacher?:” Self-Study of a Doctoral Student’s Acculturation Process

In higher education, doctoral training has been identified as a process of stewardship development whereby individuals learn the knowledge and skills required to advance their respective disciplines. Self-study of teacher education practices is one approach that has gained the interest of doctoral students to help them understand their own development whilst also forging recommendations for others in publications. In this self-study, we worked to understand the experiences of Shrehan, a teacher from England beginning doctoral study in the USA. Shrehan had no experience teaching at the college level prior to moving to the USA, and she saw self-study as an opportunity to understand her development and acculturation into an unfamiliar system of higher education. Data were collected through journaling, critical-friend discussions, and artefacts, as well as student data in the form of surveys, exit slips, and focus-group interviews. Qualitative data analysis of Shrehan’s experiences was guided by the four stages of acculturation theory – honeymoon, culture shock, adjustment, and recovery. Shrehan’s journey emphasizes the importance of getting to know undergraduate students and building rapport as key aspects of teaching at the college level. Self-study provided Shrehan with a heightened personal-identity awareness that increased her cultural sensitivity and broadened her worldview. Results are discussed with reference to acculturation theory and future directions for research are provided.     

A comparison of conventional linear regression methods and neural networks for forecasting educational spending

This study presents an application of neural network methods for forecasting per pupil expenditures in public elementary and secondary schools in the United States. Using annual historical data from 1959 through 1990, forecasts were prepared for the period from 1991 through 1995. Forecasting models included the multivariate regression model developed by the National Center for Education Statistics for their annual Projections of Education Statistics Series, and three neural architectures: (1) recurrent backpropagation; (2) Generalized Regression; and (3) Group Method of Data Handling. Forecasts were compared for accuracy against actual values for educational spending for the period. Regarding prediction accuracy, neural network results ranged from comparable to superior with respect to the NCES model. Contrary to expectations, the most successful neural network procedure yielded its results with an even simpler linear form than the NCES model. The findings suggest the potential value of neural algorithms for strengthening econometric models as well as producing accurate forecasts. [JEL C45, C53, I21]     

LONGITUDINAL PREDICTION OF 1ST AND 2ND GRADE ENGLISH ORAL READING FLUENCY IN ENGLISH LANGUAGE LEARNERS: WHICH EARLY READING AND LANGUAGE SKILLS ARE BETTER PREDICTORS?

This study investigates the relation between Spanish and English early literacy skills in kindergarten and first grade, and English oral reading fluency at the end of first and second grade in a sample of 150 Spanish‐speaking English language learners. Students were assessed in kindergarten, first, and second grades on a broad bilingual academic battery that included phonological awareness, letter knowledge, vocabulary, word reading, and oral reading fluency. These measures were analyzed using hierarchal multiple regression to determine which early reading skills predicted English oral reading fluency scores at the end of first and second grade. Predictive relationships were different between English and Spanish measures of early literacy and end of year first grade and second grade English oral reading fluency. This study has important implications for early identification of risk for Spanish‐speaking English language learners as it addresses the input of both Spanish and English early reading skills and the relation between those skills and English oral reading fluency.