Exploring Instances of Deleuzian Rhizomatic Patterns in Students’ Writing and in Online Student Interactions

Globally, it is a standard practice to study students’ academic writing by using linear academic-writing models. This investigated instances of Deleuzian rhizomatic patterns in and online student interactions at an open distance e-learning (ODeL) institution South Africa. A convenience sample 13 paragraph samples 370 first-year students was used. All the participants were enrolled level-one module, ENG1503, second semester 2020. The followed mixed-method approach, utilized AntConc AntMover analyse samples, as well Microsoft Power Business Intelligence (MS BI) Gephi, order visualise interactions. When analysed terms keywords (e.g., key themes) software applications employed this study, various detected text files. For example, key-word frequencies themes, such religion cult, showed that these two themes used differently end each concordance spectrum, thereby underscoring their varying usage respective Online on both myUnisa’s ODF MS Teams visualized rhizomatically. findings underscore importance investigating analysing – not only from models, but also non-linear perspectives, approach. Additionally, they underline significance leveraging opportunities offered analysis technologies, those study.