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08 December 2021 | Story Leonie Bolleurs | Photo Supplied
UFS loveLife Computer Graduations
The group of 90 members of the Botshabelo community who successfully completed the 12-week ICT Services short-learning course through a collaboration between the UFS Directorate Community Engagement, the Department of Computer Science and Informatics, and the youth leadership organisation, loveLife.

With the COVID-19 pandemic, many people will look back at 2020 and 2021 with emotions of depression, anxiety, and hopelessness. But for a group of close to 200 community members in Botshabelo, the past two years have not only signified one of their biggest achievements in life; for them, the day that they graduated is also holding the promise of a new beginning.

Both this year’s group and the group of 100 community members who enrolled for the two ICT short learning courses in 2020, successfully completed the programme.

“After 12 weeks of training, the community members were very happy to receive their certificates,” says Alfi Moolman of the Directorate Community Engagement at the University of the Free State (UFS).

According to Moolman, this Information Technology service-learning project is a wonderful example of how the UFS responds to the needs of the community and addresses the digital divide through its Service-Learning programme.

Aiming for 100% digital literacy

Rouxan Fouché, Lecturer in the Department of Computer Science and Informatics who is also doing his PhD in Computer Information Systems, is focusing on the digital divide in his research study, titled: An exploration of service-learning strategies to address the South African digital divide: A Critical Utopian Action Research Approach. He quotes Molawa, who defines the digital divide as the separation of those who have access to digital information and communications technology and those who do not. “Molawa has confirmed that some of the challenges to information and communication technology (ICT) access in Africa have been caused by poverty due to high levels of unemployment, illiteracy, and skills shortage.”

In his study, Fouché states that South Africa is aiming for 100% digital literacy and skills to leverage the power of modern ICT for economic appropriation and to address inequity.

In his investigation, Fouché found that increasing the level of digital skills is the responsibility of many different stakeholders, from governments to universities. “Universities may play a vital role in helping to bridge the digital divide by providing free or affordable access to digital skills training and qualifications focused on groups from marginalised areas.”

He is currently concluding the last phase of his PhD study, which included the implementation of the service-learning action plan with the Botshabelo community – engaging them to strengthen the response to digital literacy.

Equipped with 21st century computer literacy skills

Moolman says they had to think of innovative ways to ensure that students continue to achieve their learning outcomes during lockdown. “A blended learning approach was decided on, where we introduced videos of the sessions that would have been facilitated face to face in the past.”

“As a collective change facilitator in the process, I connected Fouché and loveLife, a youth leadership organisation that has a Cyber Y lab at their youth centre in Botshabelo.”

“The match was a win. loveLife was equipping their target audience with 21st century computer literacy skills, Fouché could continue with his PhD, and his students have achieved their learning outcomes.”

Felix Morobe, the provincial manager of loveLife, believes the skills development opportunities provided by the UFS through their service-learning programmes are benefiting and growing young people in the community.

He says this programme has meant a great deal to the community, as it adds to their CVs. “Moreover, it also carries the logo of one of the best and most well-recognised universities. This course was a big motivation for the members of the community who attended; saying to them, ‘yes you can do it, despite the challenges that the country is facing in terms of youth unemployment’.”

Feedback from some of the attendees of the course, include, “I wish this course could continue and benefit others”; "I am one step ahead of those who did not attend the course"; and "I am going to apply for work now that I have this additional certificate".

“This is a brilliant example of engaged scholarship,” concludes Moolman.

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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