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18 March 2020 | Story Valentino Ndaba | Photo Charl Devenish
Education
Members of the Faculty of Education Academic Advisory Board at its inaugural meeting held on the University of the Free State’s Bloemfontein Campus.

A first of its kind for the University of the Free State (UFS), the Faculty of Education Academic Advisory Board (AAB) was inaugurated on 5 March 2020 to provide guidance on developing industry-driven academic programmes.

Chairman of the Board and Dean of the faculty, Prof Loyiso Jita, explained the relevance of the structure. “Essentially, the Board is there to provide advice to the faculty on how we can be at the top of our game, connect with practitioners out there, and give ourselves an edge both in terms of our strategic research goals as well as raising the required finance to run our programmes effectively.”

A future-focused faculty
At its first sitting on the UFS Bloemfontein Campus, the Board made recommendations which the faculty has committed to implementing. The first suggestion put forward was to align the faculty to the larger higher-learning industry and education practitioners.

Bridging the gap between the institution and these stakeholders is of utmost significance: “There is still a feeling that we universities operate as ivory towers. Everything that we do, whether it is research, engaged scholarship, or teaching, has to be anchored in the practice. It has to be designed to influence and in most cases to change the practice in our communities,” added Prof Jita.

Other key focus areas identified include science and mathematics education. Prof Jita leads the South African National Roads Agency (Sanral) Research Chair that focuses on science education in the country. In the first five years of its existence, the Chair has helped graduates achieve 28 PHDs, eight master’s degrees, and has produced 66 publications. Prof Jita revealed that the Sanral Chair has challenged itself to double these statistics in the next five years.

Childhood development
Early Childhood Development (ECD), as a development zone will be championed as recommended by the Board. According to the Dean: “We have developed a strength as a faculty in that we have been leading in curriculum development in the area of ECD and have even hosted a number of workshops for other universities.”

Subsequent to that, the faculty has also decided to shine a spotlight on literacy. A project plan is pending submission to the National Research Foundation (NRF) for funding.

Long-term sustainability
The Advisory Board made a commitment to help the faculty develop more durable partnerships with industry players instead of the usual year-to-year collaborations. Undertaking the task to develop medium- to long-term partnerships of three to five years would be helpful because that could result in more sustainable projects and funding. A progress report is expected by the Board at its follow-up meeting scheduled for November 2020. 

Why an Academic Advisory Board?
Academic Advisory Boards are established across higher-learning institutions to ensure development aligned with regional, local, and global standards. Our Faculty of Education intends to use this structure to assist in terms of strategic direction and quality assurance of curriculum development and content delivery. Generally, the establishment of active AABs seeks to ensure that graduates comply with the expectations of the workplace, curriculum relevance for industry and the inclusion of the necessary knowledge, skills and attributes graduates will need in their specific fields.

Its purpose is to also assist in formulating and achieving strategic objectives, help make the connection between academic knowledge and “real work” skills, build a list of practitioners who could serve as classroom and graduation guest speakers, and create opportunities for students to learn workplace skills by providing suitable internship locations.

The Faculty of Education’s Board consists of the chief executive officers (CEOs) from the Education, Training and Development Practices Sector Education and Training Authority (ETDP SETA); the South African Council for Educators (SACE),the National Education Collaboration Trust (NECT) and Umalusi. In addition to the CEOs are six external members, three Heads of Schools, the Programme Director for Research and Engaged Scholarship, the Assistant Dean of the faculty at the Qwaqwa Campus, the Vice-Dean, as well as the Dean. 

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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