The Every Student Succeeds Act of 2015 requires high standards, but academic achievement among English Language Learners (ELL) falls below that of their peers in Texas. These students' lower academic achievement may lead to their dropping out of high school, not going to college, or being underemployed, a problem that led to this study. The purpose of this study was to evaluate whether computer-assisted language learning (CALL) helps ELLs improve their English language proficiency compared to traditional learning approaches. Levy's theoretical framework on the implementation of CALL guided this study. A nonequivalent, pretest-and-posttest design was used to examine mean differences in the increase in proficiency level from the beginning to the end of the year on the Texas English Language Proficiency Assessment System (TELPAS) of ELLS in Grades 3-5 who participated in CALL and of those who did not participate. The sample consisted of 106 English language learners in Grades 3-5: 57 students in the treatment group and 49 in the comparison group. A one-way analysis of variance was conducted to compare language proficiency between the treatment and comparison groups. Results revealed no significant difference in the mean increase in proficiency levels of English language learners between the treatment and comparison groups. Additional analyses of TELPAS subdomains (reading, speaking, listening, and writing) indicated CALL was effective on reading only. Based on the findings, a project study on professional development was designed to focus on instructional strategies to support CALL. This project may lead to social change among administrators and teachers in the methods and strategies they use in the classroom to support CALL and as they work collaboratively to improve language proficiency among English language learners.
Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-7436 |
Date | 01 January 2018 |
Creators | Ysquierdo, Rachelle |
Publisher | ScholarWorks |
Source Sets | Walden University |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Walden Dissertations and Doctoral Studies |
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