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Exploring instances of Deleuzian rhizomatic patterns in student writing and online interactions at an open distance eLearning institution in South Africa

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dc.contributor.advisor Chaka, Chaka, 1960-
dc.contributor.author Nkhobo, Tlatso Ishmael
dc.date.accessioned 2022-04-20T09:55:22Z
dc.date.available 2022-04-20T09:55:22Z
dc.date.issued 2022-03-24
dc.identifier.uri https://hdl.handle.net/10500/28746
dc.description.abstract This study aimed to explore and make visualisations of Deleuzian Rhizomatic Patterns in first-year students’ writing samples of academic writing. Online interactions on myUnisa’s online discussion forums and the Microsoft (MS) Teams virtual classes of 2020 in Academic Language and Literacy in English (ENG53) were examined rhizomatically. Traditionally, academic literacy studies employ linear models of studying students’ academic writing. However, recent academic literacy studies advocate that student writing be studied from multiple perspectives. One such approach is the Deleuzian Rhizomatic Approach to writing. The Deleuzian Rhizomatic Approach to writing employs writing analytics that can be applied to the academic writing samples in terms of key themes (concordances). Therefore, in investigating linking adverbials in online interactions of students and lecturers, writing analytics were applied. Writing analytics as a part of learning analytics entails, in this case, various data related to student writing that could be computationally analysed using writing software tools. The writing samples were analysed using rhizoanalysis by means of the AntConc, AntMover, and AntWordProfiler software applications. Rhizomatic patterns in students’ writing samples drawn from interactions on the 2020 ENG53 MS Teams virtual classroom and myUnisa’s ODF were visualised using social network analysis (SNA), online tools MS Power BI and Gephi. In addition, a readability index of the writing samples was assessed through the AntWordProfiler multiplatform tool and was visualised rhizomatically. The student writing samples revealed sectional rhizomatic patterns in various forms, as well as visualizations of MS Power BI and Gephi which portrayed rhizomatic patterns bearing various degrees of interaction nodes between students and lecturers. Furthermore, the AntWordProfiler revealed that readability levels of the writing samples were comprehensible but varied rhizomatically between students. en
dc.format.extent 1 online resource (173 leaves) : color illustrations, color graphs
dc.language.iso en en
dc.subject Rhizome en
dc.subject Rhizomatic patterns en
dc.subject Writing analysis en
dc.subject Student writing en
dc.subject Academic writing models en
dc.subject ODel en
dc.subject Student interaction patterns en
dc.subject myUnisa’s online discussion forum en
dc.subject Social network analysis en
dc.subject Social learning network analysis en
dc.subject Key themes en
dc.subject Concordances en
dc.subject Linking adverbials en
dc.subject MS Teams en
dc.subject MS Power BI en
dc.subject Gephi en
dc.subject AntConc en
dc.subject AntMover en
dc.subject AntWordProfiler en
dc.subject Readability index en
dc.subject.ddc 808.042071168
dc.subject.lcsh English language -- Rhetoric -- Study and teaching (Higher) -- South Africa -- Evaluation -- Case studies en
dc.subject.lcsh Academic writing -- Ability testing -- Case studies en
dc.subject.lcsh Distance education -- South Africa -- Case studies en
dc.subject.lcsh Web-based instruction -- South Africa -- Case studies en
dc.subject.lcsh Electronic discussion groups -- South Africa -- Case studies en
dc.subject.lcsh Corpora (Linguistics) -- Case studies en
dc.subject.lcsh Discourse analysis -- South Africa -- Case studies en
dc.title Exploring instances of Deleuzian rhizomatic patterns in student writing and online interactions at an open distance eLearning institution in South Africa en
dc.type Thesis en
dc.description.department English Studies en
dc.description.degree Ph. D. (Applied English Studies)


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