MARC보기
LDR00000nam u2200205 4500
001000000432456
00520200224130917
008200131s2019 ||||||||||||||||| ||eng d
020 ▼a 9781085743525
035 ▼a (MiAaPQ)AAI13895504
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 370
1001 ▼a Partsafas, Andrea.
24510 ▼a Is CS for All Learners? Investigating the Intersection of English Learner and Computer Science Instruction.
260 ▼a [S.l.]: ▼b University of Oregon., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 137 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-02, Section: A.
500 ▼a Advisor: Scalise, Kathleen.
5021 ▼a Thesis (D.Ed.)--University of Oregon, 2019.
506 ▼a This item must not be sold to any third party vendors.
520 ▼a There is a consensus that today's students in the U.S. are not prepared to fill the almost 1 million unfilled computing jobs in 2024. In the wake of the Computer Science For All initiative in 2016, advocacy groups, such as the Association for Computing Machinery, Code.org and the Computer Science Teachers Association, actively encourage diversity in computer science classes. However, there are large equity and opportunity gaps across the nation. Less than 20% of students taking the AP Computer Science exam are females, and even fewer are from traditionally underrepresented groups such as African American and/or Latinx. Fewer than half of K-12 schools in the United States offer computer science courses that would meet the K-12 Computer Science Framework standards definition. English Learners (EL), the second largest subgroup in K-12 education, is noticeably absent from the CS diversity conversation. The College Board does not collect EL data on AP test takers and discrepancies in defining CS make it difficult to collect universally comparable data around enrollment and achievement. However, more data have been collected on the efficacy of EL instructional strategies in some other technical subjects, notably science. Using data from both EL and CS research, instructional strategies can be employed in CS classrooms for maximum leverage. In this project, I employ a sequential explanatory mixed methods research design to address this gap in the research by surveying and interviewing experts in both computer science and English learner instruction. Quantitative survey data were collected using the Computer Science: Best Practices in Instruction for ELLs instrument along with open-ended questions. Qualitative data were collected through interviews of Computer Science and English Language teachers. The results of this study can inform state officials about the importance of implementing and supporting instructional strategies in CS courses and curriculum to ensure equitable instructional practices for all students, especially English Learners.
590 ▼a School code: 0171.
650 4 ▼a Educational leadership.
650 4 ▼a Curriculum development.
650 4 ▼a Pedagogy.
650 4 ▼a Instructional design.
650 4 ▼a Educational technology.
650 4 ▼a Bilingual education.
650 4 ▼a Multicultural education.
690 ▼a 0449
690 ▼a 0282
690 ▼a 0455
690 ▼a 0456
690 ▼a 0710
690 ▼a 0447
690 ▼a 0727
71020 ▼a University of Oregon. ▼b Department of Educational Methodology, Policy, and Leadership.
7730 ▼t Dissertations Abstracts International ▼g 81-02A.
773 ▼t Dissertation Abstract International
790 ▼a 0171
791 ▼a D.Ed.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15491612 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1008102
991 ▼a E-BOOK