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11 January 2021 | Story Leonie Bolleurs | Photo Supplied
Dr Ria de Villiers is passionate about education as a vehicle to ensure that people are fully engaged in work and life.

The world is rapidly changing, and the Department of Education (DBE) is responding with a plan that aims to prepare learners to adapt to a new world. Ecubed (E3), a DBE programme using playful project-based learning as a learning methodology, unlocks an entrepreneurial mindset in school learners. The E3 programme focuses on entrepreneurship, employability, and education, emphasising learning as a lifelong process. Dr Ria de Villiers is the Curriculum and Schools’ Implementation Manager for E3.

Dr De Villiers, an alumna of the University of the Free State (UFS), is passionate about education as a vehicle to unlock competencies and agency, ensuring that people are fully engaged in work and life. Dr De Villiers therefore invests great effort in contributing to a more relevant education system. “I feel compelled to do something about the challenges we see in education, especially since it is such a vital part of our human (and societal) development,” she says. 

Loving the buzz at schools, the smell of dust and chalk, Dr De Villiers really has a heart for teachers. “Teachers are often unacknowledged, and the work they do is critical,” she believes. She realised that as a teacher, her reach was too small to solve the problems in the South African education system. Therefore, she works as a teacher trainer, where she feels she can have a broader impact.

Her work as implementation manager for E3 allows her to make a positive impact on the education sector, while managing the creation of new learning materials online and face to face, as well as working in teacher development.

The difference in a changed world

Talking about E3, she says the programme prepares learners to acquire skills, knowledge, attitude, and mindset to be business owners or employers while being lifelong learners. The traditional way of teaching is changing, and with skills acquired through the E3 programme, school leavers will be ready to attend a tertiary institution, be prepared for the job market, and/or be able to start a business.

This is not the first time that Dr De Villiers has found herself in the education arena. She received her doctorate in Applied Linguistics from the UFS Faculty of the Humanities under the supervision of Prof Willfred Greyling in the Department of English. Her dissertation was titled, The impact of a discourse-based teacher counselling model in training language teachers for outcomes-based education. Assisting government and teacher unions with the training of teachers helped her to obtain the data for her PhD, in which she proposed a teacher-counselling model to promote teacher efficacy and agency. 

Teaching across borders

A big part of her career was spent in the education environment, although she worked as a businesswoman and freelance consultant for more than 30 years – first as teacher and university lecturer, and later as co-founder of Future Entrepreneurs, a publishing and teacher-support business. 

But it was when she started a language school that her communication business, Jika Communication and Training, came into being; it was not long before this enterprise developed into a leading training organisation for entrepreneurship education programmes endorsed by the International Labour Organisation (ILO). Together with the ILO, she worked on a series of 30 business simulation games and role-plays to promote progressive teaching methodologies, learner-centredness, and activity-based experiential learning. 

Teaching others about learning also allowed Dr De Villiers to cross South African borders when she facilitated the reworking of the vocational curriculum for the Indonesian government. She has done training at all teacher-training colleges in Dar-es-Salaam and Zanzibar for the Ministry of Education in Tanzania. 

A more humane, learner-centred approach

In our changing world, and as it pertains to the education system, Dr De Villiers truly believes that training and teaching needs a more humane, learner-centred approach, with mutual respect between trainer and learner. 

She remains inspired to continue making a difference in the sector. “I want schooling to improve and gear itself for a rapidly changing world. I want young people who are out of work to find their voice and place in the economy. I want every school learner to develop the agency and confidence to stand up in class and ask a question without any fear of losing face. And I want teachers to develop that agency too as they become more and more autonomous, self-reliant, and confident enough to teach using progressive methodologies.”

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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