Student perception on a supplementary multimodal tool for Academic Literacy: A pilot study

In light of the various advantages the e-learning experience could have for students, a blended teaching approach, where instructors make use of e-learning, has become increasingly prominent in higher education institutions. This study, which was conducted at a South African institute of higher education with a diverse and multilingual student population, focusses on student perceptions of theefficacy and accessibility of a multimodal tool called WIReD to supplement the existing academic literacy module. The review of student perceptions was structured around the outcomes for the module unit with which WIReD is intended to blend. In order to determine student perception, a questionnaire using a Likert-scale to measure responses along with open-ended questions, were used. As such, this study firstly examined students’ impressions of the design (overall appearance) and accessibility of WIReD. Secondly, it  investigated the appropriateness of content, especially with regard to the envisaged blend between WIReD and the module contentas taught during lectures and in the workbook. Despite being a pilot study with results based exclusively on student perception, it seems that WIReD can be utilized as a supplementary multimodal tool and that the outcomes thereof blends effectively with the outcomes of the academic literacy module. Keywords: academic literacy; blended learning; e-learning; multimodal teaching tool; student perception; WIRe

Exploring factors influencing academic literacy – A data-driven perspective

Background: Data science and machine learning have shown their usefulness in business and are gaining prevalence in the educational sector. In illustrating the potential of educational data mining (EDM) and learning analytics (LA), this article illustrates how such methods can be applied to the South African higher education institution (HEI) environment to enhance the teaching and learning of academic literacy modules. Objectives: The objective of this study is to determine if data science and machine learning methods can be effectively applied to the context of academic literacy teaching and learning and provide stakeholders with valuable decision support. Method: The method applied in this study is a variation of the knowledge discovery and data mining process specifically adapted for discovery in the educational environment. Results: This study illustrates that utilising educational data can support the educational environment by measuring pedagogical support, examining the learning process, supporting strategic decision-making, and predicting student performance. Conclusion: Educators can improve module offerings and students’ academic acculturation by applying EDM and LA to data collected from academic literacy modules. Contribution: This manuscript contributes to the field of EDM and LA by illustrating that methods from these research fields can be applied to the South African educational context and produce valuable insights using local data, providing practical proof of its feasibility and usefulness. This is aligned with the scope of this journal as it pertains to innovations in information management and competitive intelligence

Joan Hambidge se idiolek oor die grense van genres : 'n korpuslinguistiese ondersoek

MA (Afrikaans and Dutch), North-West University, Potchefstroom Campus, 2014Idiolect refers to an individual’s unique use of language. Therefore, the author of a text can be identified by his/her use of language. This study is focused on Joan Hambidge’s recognisable idiolect across the boundaries of genres. It is expected that Hambidge will have a unique and recognisable idiolect, regardless of the genre she writes in. By making use of forensic linguistic principles, methods and applications, it has been shown that it is possible to determine an individual’s idiolect. Even though forensic principles are specifically focused on identifying an author, the methodology used in the research field can be applied to a corpus linguistic study to determine how clearly an individual’s idiolect features across the boundaries of genres. By researching the research subject, explaining her oeuvre, creating a literary background, as well as discussing the literary approaches that Hambidge uses in her respective genres, and what she writes about, the necessary literary background was created, which contributes to the complete image of Hambidge and her influences. By creating this background, it is possible to determine which external factors have an influence on Hambidge's idiolect. Linguistic research was done to determine the origin and background of sociolinguistics; as well as factors that can influence an individual’s idiolect. The background of forensic linguistics was provided, as well as the various corpus linguistic methods that can be used in a study such as this one. After the background was provided, the empirical analysis was executed, in which both stylistic and stylometric analyses were performed by making use of inter- and intra-corpus linguistic research, according to which Hambidge’s idiolect was identified. To identify Hambidge’s idiolect, the Taalkommissie corpus was used as a reference corpus to determine whether the idiosyncratic characteristics that were found in the Hambidge corpus truly are a unique feature or whether they can also be found in the Taalkommissie corpus. The application and execution of the methods made it possible to determine to which extent, if at all, Hambidge has a unique idiolect, and how this idiolect features across the boundaries of genres. The research has determined that Joan Hambidge has a unique idiolect and that the idiolect is especially clear when research is done about her corpus in its entirety. When Hambidge’s separate genres were compared to each other, it was clear that genre influences idiolect, but also that Hambidge did not follow the prescribed genre conventions. Even though the two novels that were compared, did not match as was expected, the other, various genres did agree. Various categories were identified, from which it is clear that distinguishing characteristics can be found in Hambidge’s corpus. It can therefore be said without a doubt that Hambidge has a unique idiolect across the boundaries of genres.Master