Latest News Archive

Please select Category, Year, and then Month to display items

Advancing Vision 130 through online teacher training in Lesotho

27 February 2025 | Story Edzani Nephalela | Photo Supplied

Teacher Training in Lesotho 2025 — Various stakeholders participated in the two-day workshop from 16 to 17 January 2025 as part of the Online Teacher Training in Mathematics and Science on Content project. The initiative aims to equip secondary school mathematics and science teachers across Lesotho with essential skills.

The Faculty of Education at the University of the Free State (UFS) has taken a significant step in regional engagement and educational transformation through its partnership with Lesotho’s Ministry of Education and Training. In October 2023, the faculty, through its Mathematics, Natural Sciences, and Technology Education Department, embarked on an R11 million project to provide online training for 235 mathematics and science teachers in secondary schools across Lesotho.

The Online Teacher Training in Mathematics and Science Content project will mark its final stage on 28 February 2025, following a two-day workshop from 16 to 17 January 2025. The workshop brought together key stakeholders to reflect on its impact and explore opportunities for further collaboration in teacher development. This project aligns with the UFS’s Vision 130 strategy, reinforcing its commitment to research-led, student-centred, and socially responsive education.

“This initiative is an example of our dedication to leveraging digital learning tools to address regional education challenges,” said Dr Kwazi Magwenzi, Director of Projects and Innovation at the UFS Faculty of Education. “By equipping teachers with enhanced pedagogical skills, we are contributing to long-term improvements in the quality of education in Lesotho.”

Strengthening regional collaboration and societal development

Over the past few years, the faculty has also strengthened its role in delivering high-quality education programmes, such as the Southern African region’s SANRAL Mathematics and Science PhD Programme. Through close collaboration with industry partners, public institutions, and the private sector, the faculty has extended its reach to the Southern African Development Community (SADC), ensuring its teacher development programmes remain relevant and impactful.

“One of our key objectives is to address pressing societal needs actively,” Dr Magwenzi added. “Our commitment to regional engagement means leveraging our expertise to contribute meaningfully to the development of the African continent, particularly in Southern Africa. As our close neighbour, Lesotho was a natural focus for this initiative.”

Expanding the faculty’s footprint in the region

The success of this initiative has laid the foundation for expanding the UFS’s regional footprint through additional short courses tailored to societal needs. The faculty envisions extending its expertise to other regions, further solidifying its position as a leader in education and research.

“As we conclude this phase of the project, we are inspired to build on these achievements,” said Prof Maria Tsakeni, Associate Professor and Head of the Department of Mathematics, Natural Sciences, and Technology Education in the Faculty of Education. “This initiative has demonstrated the power of strategic partnerships and innovative learning models. Moving forward, we aim to design more programmes that contribute to the educational and economic growth of the region.”

By fostering regional collaboration, enhancing teacher competencies, and driving educational innovation, the Faculty of Education at the UFS continues to shape the future of education in Africa. This initiative is a testament to its unwavering commitment to academic excellence and societal transformation.

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.

Back

Economic and Management Sciences

Education

Health Sciences

The Humanities

Law

Natural and Agricultural Sciences

Theology and Religion

Open Distance Learning

Business School

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept