Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
23 October 2023 | Story André Damons | Photo Rosina Mothiba
Education students present research at Faculty’s Annual Postgraduate Research Conference
A total of 145 postgraduate students and 55 staff members attended the University of the Free State’s (UFS) Faculty of Education Annual Postgraduate Research Conference Social Media.

“Exploring Grade 12 learners’ substance abuse and its influence on their academic performance”, “The role of the School Management Team in addressing Homophobic Bullying in Xhariep public schools” and “Exploring the use of YouTube videos in the teaching and learning of fractions in Grade 4.” 

These were some of the interesting research titles that were presented at this year’s University of the Free State’s (UFS) Faculty of Education Annual Postgraduate Research Conference. The two-day conference, now in its fifth year, took place from 6-7 October with the theme “Changing the Educational Landscape in Africa through ongoing research”. The conference is one of the faculty’s main events supporting its postgraduate students and ensuring time for completion for each one of them. 

A total of 145 postgraduate students and 55 staff members attended the conference where the faculty’s postgraduate students get exposure to present their research in front of an academic audience.

Prof Loyiso Jita, the Dean of the Faculty of Education, delivered the keynote address and spoke at length about the graduation rates of master’s and doctoral students in the faculty. He challenged the presenters to hold themselves and each other accountable for progression in their studies and to produce high-quality research that will position them and the university in good stead nationally and internationally. 

New teaching approach   

In the study “Exploring the use of YouTube videos in the teaching and learning of fractions in Grade 4”, MB Tsoaela (PhD student), explores the teaching and learning of fractions using YouTube videos in Grade 4. In trying to answer the main research question, “How do Grade 4 educators teach fractions utilising YouTube videos?” The researcher states that: “The use of YouTube videos is a very new way of learning in the South African context. This new teaching approach has proven to be exciting for young learners in Grade 4 because it has many options like animations, colourful videos, and pictures. Even though YouTube learning is exciting and fun, its implementation has challenges such as teachers wanting to use a chalkboard. Another challenge is the current load shedding.” 

Psychosocial implications of school violence

Another PhD student, MDL Stack, investigated how to design an assessment for Higher Education that ChatGPT is unable to provide an answer that will pass without human intervention in his research paper titled “Investigating an assessment design that prevents students from using ChatGPT as the sole basis to pass assessment in Higher Education at undergraduate level”. He argued that “ChatGPT has presented significant challenges to lecturers when they set assessments at tertiary level. 

“There is enormous potential for students to attempt to use ChatGPT to write and pass assessments designed at undergraduate level,” the researcher writes. 

Another research paper looked at the psychosocial implications of school violence on teachers in Motheo District public schools in the Free State, arguing that school violence against teachers continues to be a phenomenon that is increasingly disturbing, while having serious implications on South African and global societies. Many teachers suffer social and psychological stress but not much has been done to understand learner-induced violence against teachers.

Exposure for students  

Prof Matseliso Mokhele-Makgalwa, the acting Vice-Dean Research and Postgraduate Studies, says the purpose of the conference is to give exposure to master’s and PhD students to present their work in front of an academic audience (staff and students) as well as for them to get comments and feedback from experts and fellow students on their on-going research studies. 

“The conference is about sharing the ongoing research being done by our master’s and doctoral students and/or reporting on their preliminary and final outcomes of the students who are about to graduate. By presenting their work, they disseminate key findings, build relations with other students and staff, and create inter- and multi-disciplinary networks for future collaborations,” says Mokhele-Makgalwa.

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.

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