JOURNAL ARTICLE
Exploring immersion competencies in secondary education: Transformative professional development for pedagogical integration in Home Economics.
Published In: Journal of Immersion & Content-Based Language Education, 2025, v. 13, n. 1. P. 138 1 of 3
Database: Communication Source 2 of 3
Authored By: Ní Dhuinnín, Sarah; Ó Ceallaigh, TJ; Ní Aogáin, Sylvaine 3 of 3
Abstract
This study delves into immersion competencies within secondary education, specifically focusing on transformative professional development in Home Economics pedagogical integration. Specifically, this paper investigates how six teacher participants, in the Gaeltacht education context in Ireland, acquired the necessary competencies for meaningful language integration, as outlined by the IPACK framework. In addition, the role of a bespoke professional development programme in fostering such competencies was examined. Through qualitative action research design, data collection tools such as classroom observations, stimulated recall interviews, questionnaires, and reflective diaries were employed. Findings demonstrated evident evolvement of participants' pedagogical approach of Form-Focused Instruction and contributed to understanding the intricacies of immersion competencies at secondary level, highlighting their interdependence as a prerequisite for effective pedagogical integration. Implications suggest the need for targeted professional development initiatives to empower teachers with the competencies necessary for effective integration of content and language pedagogies. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Immersion & Content-Based Language Education. 2025/01, Vol. 13, Issue 1, p138
- Document Type:Article
- Subject Area:Language and Linguistics
- Publication Date:2025
- ISSN:2212-8433
- DOI:10.1075/jicb.24013.nid
- Accession Number:184598721
- Copyright Statement:Copyright of Journal of Immersion & Content-Based Language Education 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.)
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