"I'm afraid I can't handle students' questions on the spot!": Complex interactions between English research writing teachers' pedagogical content knowledge and instructional practices.
Published In: International Journal of Applied Linguistics, 2024, v. 34, n. 4. P. 1385 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Zhang, Mulin; Guo, Quanjiang 3 of 3
Abstract
Despite recent proliferation in scholarship on English research writing (ERW) and its teaching, ERW teachers' developing knowledge remains under‐researched. This multiple case study, featuring four ERW teachers working in the same university in Central China, builds on the pedagogical content knowledge (PCK) framework to delineate the complexities in participants' knowledge–practice nexus. Data sources include observations, interviews, journal entries, and teaching artifacts. Data analyses reveal that the complex interactions between PCK components have resulted in idiosyncrasies in participants' instructional decisions or practices concerning selecting teaching points, utilizing own disciplinary articles, deciding on pedagogical design, and assigning writing tasks. It is also found that participants who are more assured in their PCK repertoire tend to feel more secure in teacher–student interactions and adopt more student‐centered pedagogies. Participants' knowledge–practice nexus exhibits complex system features of self‐organizing and self‐transforming, as well as self‐knowing. Implications for transitional ERW teachers' practices and professional development are discussed. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Applied Linguistics. 2024/11, Vol. 34, Issue 4, p1385
- Document Type:Article
- Subject Area:Education
- Publication Date:2024
- ISSN:0802-6106
- DOI:10.1111/ijal.12575
- Accession Number:180681142
- Copyright Statement:Copyright of International Journal of Applied Linguistics is the property of Wiley-Blackwell 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.