Electronic Theses and Dissertations

Identifier

6299

Date

2018

Document Type

Dissertation

Degree Name

Doctor of Education

Department

Education

Committee Chair

Clif Mims

Committee Member

Amanda Rockinson-Szapkiw

Committee Member

Andrew Tawfik

Committee Member

Teresa Dalle

Abstract

The purpose of this quantitative, predictive correlational study was to examine variables that arecorrelated with Tennessee K-12 English as a second language teachers self-efficacy. With the changes stipulated by the Every Student Succeeds Act recently approved by the Tennessee Department of Education, there is a need to examine possible factors associated with ESL teachers self-efficacy because teacher self-efficacy has been linked to teacher effectiveness and, in turn, student learning. Using social cognitive theory as a framework, predictor variables were identified and included route to licensure, practicum hours, presence of mentor, years of teaching experience prior to ESL, years of experience of ESL teaching, and number of ESL teachers at participants schools. A self-report survey including the validated Teachers Sense of Efficacy Scale was sent to the participants using the Tennessee Teachers of English to Speakers of Other Languages membership listserv. The data collected from the convenience sample was analyzed using standard multiple regression. The six predictor variables were found not to be predictive of Tennessee ESL teachers self-efficacy and the overall standard multiple regression indicated negligible predictive value. The conclusion drawn from this study is that Tennessee, and perhaps other ESL teachers in the United States, are a unique population of teachers who have other factors specific to their field of teaching that can be predictive of their self-efficacy. Among the possibilities for future research, the author especially recommends the investigation of American ESL teachers self-efficacy through qualitative methods so data can be collected to identify possible self-efficacy factors directly from the population.

Comments

Data is provided by the student.

Library Comment

Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

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