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22 October 2021 | Story Eugene Seegers | Photo Jolandi Griesel
Dr Arnelle Mostert receives the Vice-Chancellor’s Award for excellence in learning and teaching from the Vice-Rector: Academic, Dr Engela van Staden, at the annual Learning and Teaching Awards ceremony held in Bloemfontein on 13 October 2021.

The annual Learning and Teaching conference was held virtually by the Centre for Teaching and Learning from 13 to 15 September 2021. The conference, with the theme Quality and Innovation for a New Blended Learning Future, culminated in the annual UFS Learning and Teaching Awards, held on the Bloemfontein Campus on 13 October.

Highlights from Learning and Teaching Awards

This year, the Centre for Teaching and Learning recognised various academic staff members in different learning and teaching categories during the annual Learning and Teaching Awards ceremony. The categories included innovation in learning and teaching (curriculum design / assessment / student engagement / technology-enhanced learning and teaching); research in learning and teaching (novice and advanced); as well as the Vice-Chancellor’s Award. The Vice-Chancellor’s Award acknowledges all-round excellence in the field of learning and teaching.

Dr Arnelle Mostert from the Faculty of Health Sciences, who brought home the Vice-Chancellor’s Award, says, “To win this award has been a dream of mine for a very long time. I am so excited and grateful, as this prize is the culmination of years of dedication and hard work. Excellence in teaching and learning, in my eyes, lies in the small acts we do daily: Improving one lecture at a time, one word of encouragement, helping one student understand a concept, and most of all, touching one heart at a time with kindness and compassion. These small acts create a ripple effect in many peoples’ lives, as the students we teach can touch the lives of many others."

Not only have academic staff been rewarded, but the most valued professional award recognised the contribution of academic support professionals towards the advancement of learning and teaching at the institution and acknowledged dedication, innovation, and excellence in the support sphere. 

Gugu Tiroyabone, winner of the Most Valued Professional award, says of this accolade, “For me, this recognition affirms the commitment of the UFS to Goal 1 of its Strategic Plan 2018-2022: To improve student success and well-being. Reflecting on the past 19 months, a changing educational climate, and an evolving learning and teaching landscape, I appreciate how the new challenges have helped us grow as an institution, both as staff and as students. I am extremely thankful to work alongside a resilient team that is committed to holistic student success both inside and outside the classroom.”

For the first time, the Departmental Award for learning and teaching was bestowed on the School of Accounting (Bloemfontein Campus) and the School of Education Studies (Qwaqwa Campus). These two departments have shown great commitment and involvement in improving learning and teaching under the leadership of Prof Frans Prinsloo and Dr Bekithemba Dube.

This year, the best Qwaqwa and the best Bloemfontein conference paper presentations each received an award. The awards were won by Dr Brian Sibanda (CTL, Qwaqwa Campus) for his paper Practicing decoloniality in English Academic Literacies, and Dr Rick de Villiers (The Humanities, Bloemfontein Campus) for his presentation on Close reading at a distance: Making remote learning intimate and intensive.


Highlights from conference

Day 1: The conference was opened by the international keynote speaker, Dr Carl S Moore, Assistant Chief Academic Officer at the University of the District of Columbia, who gave the presentation Access to Learning. This presentation highlighted the role of online and blended learning within the future of higher education.

Day 2: Guest keynote speaker, Dr Noluthando Toni, Director of Teaching Development at Nelson Mandela University, presented Towards re-imagined blended learning and teaching: Heeding student voices and participation to bolster education practices. Dr Toni’s presentation focused on contextualising the new blended learning and teaching environment within South Africa, and shared experiences from her institution during their remote learning and teaching strategy (2020/21).

Day 3: The guest keynote speakers, Dr Adriana Botha (educational psychologist and senior educational consultant: Blackboard) and Dennis Nevels, presented the paper From Conventional to Online Assessment – Rethink and Innovate, in which they focused on providing academic staff with innovative practices and ideas around online assessment.

Throughout the three days, UFS academic and support staff members shared quality learning and teaching projects and innovations through academic papers in different conference tracks.

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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