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14 May 2025 | Story Tshepo Tsotetsi | Photo Tshepo Tsotetsi
Multilingualism stakeholder engagement session
Prof Vasu Reddy, UFS Deputy Vice-Chancellor: Research and Internationalisation; guest speaker Prof Leketi Makalela; and Dr Nomalungelo Ngubane, Director of the UFS Academy for Multilingualism.

Multilingualism is not just a concept at the University of the Free State (UFS) – it is a growing practice, a challenge, and an opportunity all at once. This was made clear during a stakeholder engagement session on 7 May 2025, hosted by the Academy for Multilingualism at the UFS’s Bloemfontein Campus, where staff, academics, and strategic partners gathered to reflect on the university’s language journey.

In his reflections, the Deputy Vice-Chancellor for Research and Internationalisation, Prof Vasu Reddy, emphasised that, “Scholarly conversations such as these are not just simply intellectually important, but socially and politically, and it is critical to learn from each other, exchange ideas, and make change.” He described the Academy as a “novel intervention” and noted how engagements like this help “break silos that languages sometimes create” – a crucial step towards realising the promise of multilingualism and translanguaging in academic spaces.

 

Progress, challenges, and collective ownership

In her presentation, Dr Nomalungelo Ngubane, Director of the Academy for Multilingualism, provided an overview of the institutional language policy and its implementation status, now in its third year of a five-year plan. She highlighted key strides: the translation of 116 PhD abstracts into Sesotho, Afrikaans, and isiXhosa; the development of South African Sign Language terminology in psychology; and the training of 16 tutors in translanguaging, among others.

Dr Ngubane stressed the importance of shared ownership of the policy’s rollout. “It’s very important that the language policy is understood by all stakeholders. It’s a collective journey, and it becomes even more powerful when people own it and take it forward into their departments, faculties, and student spaces,” she said. While she acknowledged that meaningful development of African languages as academic mediums is costly and resource-intensive, she noted that small, deliberate steps are being taken.

 

Ubuntu translanguaging: rethinking the classroom

The keynote address was delivered by Prof Leketi Makalela, full professor and founding Director of the Hub for Multilingual Education and Literacies at the University of the Witwatersrand. A globally recognised scholar and the holder of the SARChI Chair in Advancing African Languages for Social Inclusion and Access, Prof Makalela added a powerful perspective rooted in research and teaching practice.

He began his address with a reflection: “I believe I landed on this little rock called Earth to ensure that human beings have deep access to the world in which they were born, and you can only be part of this greater world and make full sense of it through language.”

Later, he challenged the monolingual mindsets that dominate higher education. “People still want to treat languages as different entities, and that’s where the issue is. That’s where the education system is not aligning with the realities of multilinguality.” 

Prof Makalela said multilingual students face dual disadvantages: compromised epistemic access [access to knowledge systems] due to monolingual bias, and diminished identity affirmation. His response? Ubuntu translanguaging – a model that embraces cohabitation of languages and student-led meaning-making.

“It’s a misconception that the lecturer must translanguage,” he said. “It is the student who should translanguage. The lecturer should only facilitate and respect that internal process.”

He outlined a clear, three-step translanguaging teaching method:

• Pre-lesson: Activate prior learning and scaffold vocabulary and concepts.
• During lesson: Create space for multilingual thinking – allow students to write, reflect, and engage in their own languages.

• Post-lesson: Validate understanding, and open the classroom to diverse linguistic expressions.

Prof Makalela stressed that the real innovation lies in normalising these practices institution-wide. “Existing multilingual tutorials are useful, but real transformation happens when every lecturer opens up their lessons to multilingual engagement.”

News Archive

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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