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14 December 2023 | Story Dr Jared McDonald | Photo Supplied
Scholarship of Teaching and Learning Conference
From the left: Dr Eleanor Bernard, Assistant Director in the Centre for Teaching and Learning on the UFS Qwaqwa Campus; Dr Jared McDonald, Chief of Staff in the Office of the Vice-Chancellor and Principal; and Prof Pearl Sithole, Campus Vice-Principal: Academic and Research on the Qwaqwa Campus.

From 21 to 23 November, more than 160 delegates gathered at the Golden Gate Highlands National Park in the Eastern Free State for the fourth biennial conference on Scholarship of Teaching and Learning (SOTL) in the South, dubbed SOTL 4 the South.

This year’s iteration was proudly hosted by the University of the Free State (UFS) and organised by Dr Jared McDonald, Chief of Staff in the Office of the Vice-Chancellor and Principal; Dr Eleanor Bernard, Assistant Director in the Centre for Teaching and Learning on the UFS Qwaqwa Campus; and Prof Zach Simpson, Editor-in-Chief of the SOTL in the South journal. Established and emerging scholars, as well as postgraduate students working in the field of teaching and learning from across disciplines in Southern Africa, came together to share ideas, debate perspectives, and learn from experiences related to the conference theme: Teaching and Learning for Sustainable Futures.

The programme included presentations on a wide variety of topics, such as the challenges and opportunities of artificial intelligence in higher education, academic literacy, student success, teaching and learning for sustainable development, curriculum design, and digital futures. The programme also included two keynote presentations by leading scholars in education for sustainability, Prof Heila Lotz-Sisitka, Distinguished Professor and SARChI Research Chair in Global Change and Social Learning Systems in the Environmental Learning Research Centre at Rhodes University, and Prof Kasturi Behari-Leak, Associate Professor of Higher Education Studies and Dean of the University of Cape Town’s Centre for Higher Education Development.

The organisers were delighted with the quality of the scholarship that was shared. “This conference has been 18 months in the making, and we are grateful to all the delegates for embracing, and engaging with, the conference’s theme. We are also appreciative to all the reviewers on the Scientific Review Committee who were generous with their time, reflections, and critiques in assisting us to deliver a compelling, impactful programme,” said Dr McDonald. Dr Bernard added that “the conference would not have been possible without the generous support of the University of the Free State’s Executive Management and Centre for Teaching and Learning, as well as the senior management of the Qwaqwa Campus, who have supported the conference from the time it was just an idea”.

Prof Zach Simpson expressed his gratitude to the UFS for its support and assistance. “The last in-person conference of SOTL in the South was in 2019, before the COVID-19 pandemic. It was wonderful to see so many scholars come together in a beautiful location to engage with a compelling and topical conference theme.” Selected papers have been invited to contribute to a special issue of SOTL in the South, edited by the organisers and due for publication in mid-2024.

SOTL is an informal ‘body’ that is not affiliated with any particular parent organisation or institution. Its aim is to advance scholarship in teaching and learning across the Global South – conceived of not just in geographic terms – but as concerned with questions of power, access, inequity, and marginalisation, even where these might be present in the Global ‘North’. Moreover, it aims to give voice to novice SOTL practitioners and to serve as a platform for academics, particularly novice academics, to contribute their scholarly 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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