Understanding the Diverse Field of 'Educational Technology' as Revealed in Twitter Job Postings: Encoding / Decoding Approach

Autor: Merve Basdogan, Curtis J. Bonk, Zulfukar Ozdogan
Rok vydání: 2020
Předmět:
Zdroj: Scopus-Elsevier
ISSN: 2160-3715
1052-0147
DOI: 10.46743/2160-3715/2020.4457
Popis: In this study, we attempt to understand discursive interrelationships among five professional job advertisements which are often used interchangeably, including educational technology, educational design, instructional design, learning design, and instructional systems design. The purpose is to better understand the distinctions, interactions, and overlaps of these disciplines using Encoding/Decoding Model over the discourses of the jobs’ announcements. We collected data using a social network analysis tool, NCapture, and imported to qualitative analysis software (i.e., NVivo) to conduct thematic analyses. For this study, 171 job postings in Twitter were captured by using NCapture as a Web-browser extension. Findings indicated that the relations between the targeted disciplines can be explained by Stuart Hall’s Communication Model (1980). Results can serve as a guide for scholars and students studying at the intersection of technology and education fields.
Databáze: OpenAIRE