scholarly journals Discourse and Network Analyses of Learning Conversations

Author(s):  
H. L. Lim ◽  
Fay Sudweeks

Analytical frameworks for examining educational computer mediated discourse have been mainly designed for asynchronous discussions; hence the classification schemes are typically more sensitive when applied to longer postings than the shorter, more condensed exchanges present in online synchronous discourse. This chapter introduces the exchange structure analysis framework for examining online synchronous interaction at levels of structural organization and pragmatic intention. The further application of social network analysis as a method and visualization tool for the coded exchanges are explained and illustrated. Examples are provided from transcript data of moderated collaborative group discussions during virtual tutorials in a case study. With the integration of discourse and social network analytical methods, a richer interpretation is gained on the processes of articulation and negotiation of meaning during online learning conversations.

Author(s):  
Kevin R. Guidry ◽  
Laura A. Pasquini

This case study focuses on Twitter as an informal learning tool. Specifically, the authors examine user-created Twitter chats using one specific chat, #sachat, as a case study. #sachat is a weekly one-hour chat held on Twitter and populated by higher education professionals in the field of student affairs (e.g. college admissions, advising, housing, new student orientation). The authors contrast this chat with other ways in which student affairs and higher education professionals are using Twitter. Using methods of computer-mediated discourse analysis, they then discover and elicit defining characteristics of #sachat. Finally, the authors offer thoughts on why this chat seems to be successful as an informal learning resource, how it compares to other uses of Twitter by professionals, and implications for other communities interested in using Twitter or similar tools to create informal learning.


Author(s):  
Kevin R. Guidry ◽  
Laura Pasquini

This case study focuses on Twitter as an informal learning tool. Specifically, the authors examine user-created Twitter chats using one specific chat, #sachat, as a case study. #sachat is a weekly one-hour chat held on Twitter and populated by higher education professionals in the field of student affairs (e.g. college admissions, advising, housing, new student orientation). The authors contrast this chat with other ways in which student affairs and higher education professionals are using Twitter. Using methods of computer-mediated discourse analysis, they then discover and elicit defining characteristics of #sachat. Finally, the authors offer thoughts on why this chat seems to be successful as an informal learning resource, how it compares to other uses of Twitter by professionals, and implications for other communities interested in using Twitter or similar tools to create informal learning.


2012 ◽  
Vol 33 (3) ◽  
pp. 321-352 ◽  
Author(s):  
Benny De Decker ◽  
Reinhild Vandekerckhove

The paper focuses on the presence of English in a written chat corpus produced by Flemish teenagers whose native language is (a variety of) Dutch: it deals with the relative presence of several lexemes and word categories, with the effect on the target language and with the way the loans are integrated into teenager chatspeak, i.e. with (g)localisation processes. In quantitative terms, the impact of English on the informal “speech” of Flemish teenagers appears to be considerable, but the borrowing process is not a copy-and-paste practice. In many cases the teenagers transform the English words graphemically, morphologically and/or semantically. By using an extensive and reliable corpus and by quantifying and categorizing the English tokens in several ways, this paper aims at describing a representative case study for the appropriation of English by a generation the socialization process of which partly proceeds via electronic media.


2018 ◽  
Vol 89 (2) ◽  
Author(s):  
Mark Nartey

In the last couple of decades, linguistic enquiry into internet genres has become prevalent, resulting in the investigation of internet genres such as live-text commentary, weblogs, online news/news websites, and social network sites. In tandem with this research tradition, the current study investigated the football match preview in a bid to identify its schematic structure and the rhetorical strategies deployed by producers of this genre in achieving their communicative goal(s). Six match previews taken from two online sports websites, Goal.com and Sky-sports.com, comprised the data for the study and Swales’ (1990; 2004) framework of move analysis was used to analyse the data. The study found that the match preview employed a six-move pattern, namely naming the contest, pre-contest dynamics, predicting team line-ups and team formations, assessing squad strength, discussing the contest and naming the preview author. These moves were found to be realised by a relatively restricted range of lexico-grammatical resources. This study has implications for the construction of the match preview genre and future genre studies.


2020 ◽  
Vol 2 (1) ◽  
pp. 162-174
Author(s):  
Fredrick Meeme Irimba; Jacinta Ndambuki; Florence Mwithi

The purpose of this study is to examine online hate discourse; with a focus on the construction of online ethno-political rhetoric as a form of hate speech during Kenya's 2017 general election. The study employed a qualitative case study design which entailed an empirical investigation of a particular phenomenon using multiple evidence. Purposive sampling allowed the researcher to observe, collect and analyse only the specific materials that had the characteristics relevant to the objective of this study. Working within Computer-Mediated Discourse Analysis (CMDA) framework, we analyse a purposively selected sample of sixteen posts from FB (ten) and Twitter (six) derived from the initial sample of 360 posts collected through online observation of Facebook groups and hashtags trending in Kenya between July and November 2017. ‘The findings point at the shifting hate speech battle fields where ethno-political extremism in form of ‘Us against Them’ discourse finds easy expression online through dehumanizing epithets and metaphors that de-personalize and de-characterize the target, bringing to salience their perceived negative attributes in order to justify prejudice against them as a tool of political mobilization. These insights are relevant in understanding hate speech in multi-ethnic cultural contexts in society generally and specifically in Kenya. The study recommends that the government of Kenya and other key stakeholders should develop a media literacy policy on the moral responsibility in embracing netiquette and responsible netizenship in online interactions. 


Author(s):  
Heather L. Hill ◽  
Jen Pecoskie

Intertext and paratext are central to the creation of fantexts and fan communities. It is essential therefore to explore how intertext and paratext affect the production and consumption of fanfiction, which involves the communication of the reader and author. In this chapter, the authors examine one fanfiction platform as a case study using the Fifty Shades of Grey enterprise as a contextual pivot point in order to understand the impact of digital paratext and intertext as tools constructing the medium of fanfiction. Using computer-mediated discourse analysis, the authors explore textual elements of three fanfiction titles, focusing on the paratext, the reader and author interactions, and the intertext, here the relation of the fanfictions to Fifty Shades of Grey and other texts, including those published on the same fanfiction forum (Fanfiction.net). Findings indicate that fanfiction not only includes paratextual elements for author-reader communication, but also that paratext is integral to the creation of fanfiction. As fanfictions evolve, they themselves become intertextual root-texts from which new fanfiction develops.


Author(s):  
Jennifer Rider

This empirical multi-case study explored a diverse group of postsecondary students' experiences with care in computer-mediated discourse (CMD) from their professors. Participants from a variety of ethnic and cultural backgrounds shared their definitions of care and what they perceive to be qualities of a caring professor. Through participant-selected samples of discourse artifacts identified as exhibiting care, computer-mediated discourse analysis (CMDA) was conducted collaboratively by each student participant and the researcher. The CMDA process highlighted several qualities commonly perceived by students as caring within CMD, organized into three themes: invitation, intentionality, and inclusiveness. These three themes of care are presented through six tenets that professors can use as they build awareness and reflectiveness around their discourse to diverse students in blended, hybrid, and online courses.


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