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08 December 2021 | Story Nonsindiso Qwabe
Dr Bernard
Dr Eleanor Bernard heads the Centre for Teaching and Learning on the Qwaqwa Campus.

“I realised that our students are not regularly exposed to and immersed in an English first language environment. So, for two years, I created control groups and tested how to implement a film club to support their language learning as well as engage them. In the end, I created a framework that university language teachers can use, with very specific guidelines as to how to make it successful.”

For her PhD study in Higher Education Studies, Dr Eleanor Bernard created a play on traditional learning by implementing a film club as a way of enhancing the basic interpersonal communicative and English literacy skills of non-native speakers on the Qwaqwa Campus. Dr Bernard is the Assistant Director of the Centre for Teaching and Learning on the Qwaqwa Campus. She will be graduating with her PhD in Higher Education Studies during the December 2021 graduations. The title of her study is: Implementing a film club to enhance English second-language students’ basic interpersonal communicative and basic English literacy skills.

Building on her passion for language learning and acquisition, Dr Bernard wanted her study to be a fun and interesting way of enhancing the already existing General English language module by creating a space for exposure and social interaction. She did this by forming student groups that would regularly watch films and opened spaces for engagement as a way of focusing on the language development of the students.

“The highlight for me was sitting in a university lecture venue, while watching Tsotsi or Pitch Perfect with students, and seeing them interacting, laughing, and enjoying a usually very serious space. Also, the wonderful discussions they shared on Blackboard around elements such as lobola, or stereotypes. Lastly, seeing how by the end of the year, they would walk into my office and interact with me more confidently in English,” she said.

Language studies has been a part of her academic journey from her Honours qualification. She has an MA degree in Language Studies from the UFS. She said working on the Qwaqwa Campus with language and literacy modules, she loved the process of watching students blossom as they gained more confidence in using the English language. “I especially love receiving a student at the beginning of the year, who you can see struggling and almost battling through the content and the skills. And then to see the change by the end of the year, and how their confidence increased.”

‘No learning can take place without engaging students’
She said she hoped faculties would also see the value of focusing on the language development of students as a baseline for academic literacy skills development.

“No learning can take place without engaging students, and there are so many guidelines and practical ways to ensure this engagement, including in language learning. Student success is not just about performance or final marks, but also about students completing a year where they have interacted with others and learned to care for them, where they have been changed to want to impact societies and communities, and where they have acquired skills that they will use when they enter the world of work.”

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Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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