Navigating blended learning, negotiating professional identities

In response to the rapid development of educational technology and the desire to offer flexible learning opportunities, the implementation of blended learning is a burgeoning trend in contemporary higher education. However, limited research has been conducted into the professional identities of facu...

Full description

Saved in:
Bibliographic Details
Published inJournal of further and higher education Vol. 45; no. 5; pp. 654 - 671
Main Author Howard, Natalie-Jane
Format Journal Article
LanguageEnglish
Published Abingdon Routledge 01.01.2021
Taylor & Francis Ltd
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:In response to the rapid development of educational technology and the desire to offer flexible learning opportunities, the implementation of blended learning is a burgeoning trend in contemporary higher education. However, limited research has been conducted into the professional identities of faculty members as they navigate this considerable shift in pedagogical practice. Through a qualitative, interpretivist approach, in-depth semi-structured interviews are utilised to elicit the subjective experiences and beliefs of a cohort of expatriate lecturers in the pilot stage of a blended learning initiative in a Middle East higher education institution. Applying the lens of positioning theory to analyse the subject positions both constituted and rejected by the participants, and subsequent to a thematic analysis of respondent narratives, five inductive themes of professional identity are presented. Contributing to the contemporary discourse of teacher professional identity, the findings reveal significant complexities and uncertainties facing educators in hybrid delivery modes which trigger misalignment with established pedagogical beliefs and invoke disruptions to professional personas. The paper concludes by comparing the findings with relevant, extant studies and addressing implications for policymakers implementing future-blended models.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0309-877X
1469-9486
DOI:10.1080/0309877X.2020.1806214