JOURNAL ARTICLE
Teaching Hebrew as second language in Arab schools in Israel: Policy and identity politics.
Published In: Language Problems & Language Planning, 2023, v. 47, n. 1. P. 49 1 of 3
Database: Communication Source 2 of 3
Authored By: Manor, Rama; Binhas, Adi 3 of 3
Abstract
Students belonging to the substantial Palestinian-Arab minority in Israel – about one-fifth of the population – are required to study Hebrew as a second language (SL). This study analyzes the policy of teaching Hebrew as SL through content analysis of policy papers, questionnaires and interviews with teachers. It aims to elicit the meaning of studying the majority language by the minority in practical and ethnonational identity terms. The findings indicate that the current policy aims at promoting the acquisition of spoken Hebrew for the purpose of integration in higher education and the labor market, and that international contents are more prominent as part of the growing openness in Palestinian society in Israel. In terms of identity, the importance of Hebrew in that society has grown, but also posed challenges in terms of the minority's sense of belonging to Israel and identification with the values attendant on acquiring the language. Overall, we identified interfaces between three identity spheres: the Palestinian ethnonational identity, the Jewish-Israeli identity as encountered through Hebrew language studies, and the global identity as represented by educational and employment opportunities and values. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Language Problems & Language Planning. 2023/01, Vol. 47, Issue 1, p49
- Document Type:Article
- Subject Area:Language and Linguistics
- Publication Date:2023
- ISSN:0272-2690
- DOI:10.1075/lplp.22002.man
- Accession Number:164762221
- Copyright Statement:Copyright of Language Problems & Language Planning is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.