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25 November 2019 | Story Leonie Bolleurs | Photo Supplied
Bennie
Bennie Botha brings another element of teaching to the classroom for future healthcare professionals. Here, he facilitates a session with students from the School of Nursing.

These days we are surrounded by technology. Interactive whiteboards, 3-D printers, smartphones, laptops, e-books, and virtual reality (VR).

VR was previously associated with the gaming industry, but today it has many uses, including the healthcare industry and more specifically, the field of nursing. 

A staff member in the School of Nursing at the University of the Free State (UFS), Bennie Botha, explains that he always had a fascination with VR. With VR being more affordable to the general user and with him working in the School of Nursing, he wanted to make a difference by providing a more financially sustainable way for students to integrate theory and practical work. 

It was then that Botha, in collaboration with staff from the Department of Computer Science and Informatics and the School of Nursing, developed a virtual environment to train Nursing students as part of his master’s thesis. The title of his dissertation is: Measuring the usability and user experience of virtual reality as a teaching and learning method for nursing students. His supervisor, Dr Lizette de Wet of the Department of Computer Science and Informatics, said the cooperation between two disciplines is important. “This research can make a big contribution towards teaching and learning,” she said. 
 
Adding to existing technology-rich environment

This simulation in a computer-generated environment adds another element to teaching. Instead of only listening to a lecturer, students are immersed in a relevant teaching scenario and are able to interact within a 3D medical institution, treating and taking care of 3D patients. 

The UFS School of Nursing has implemented this first for South Africa, using VR as an instrument to train nursing students. Currently, third-year students and postgraduate Paediatrics students are exposed to this way of training.

This new invention for the School of Nursing adds to the already existing technology-rich environment of the Clinical Simulation Unit within the school; a facility where healthcare students are exposed to training in a safe environment without harming the patient, using high-fidelity patient manikins.

Cost-effective simulation platform

According to Botha, VR provides a cost-effective simulation platform that can be used to augment high-fidelity simulations. “It is also a low-cost alternative for institutions that do not have the capital to implement high-fidelity simulations. By implementing new innovative teaching methods, we aim to provide quality healthcare professionals who can showcase the educational excellence of the School of Nursing at the UFS,” says Botha. 

Rector content

Rector and Vice-Chancellor, Prof Francis Petersen, visited the School of Nursing and engaged in the simulator-based game.
(Photo: Supplied)


He explains the process: “Virtual reality provides students with an opportunity to learn by engaging in a simulator-based game. The virtual environment requires the students to perform a respiratory foreign-body object simulation scenario. Before each virtual simulation session, students are briefed and given the relevant outcomes of the scenario. Students also receive a quick tutorial on the use of the controllers and the head-mounted display.”

“Once a session is complete, a debriefing session is held where students can reflect on the outcome of the simulation. They can view a recording of their own actions for self-reflection afterwards.”

Botha believes the VR environment he created for Nursing students contributes to the Fourth Industrial Revolution, giving the UFS a competitive edge in new developments and the use of innovative teaching and learning technology. 




News Archive

Researcher works on finding practical solutions to plant diseases for farmers
2017-10-03

 Description: Lisa read more Tags: Plant disease, Lisa Ann Rothman, Department of Plant Sciences, 3 Minute Thesis,  

Lisa Ann Rothman, researcher in the Department of
Plant Sciences.
Photo: Supplied

 


Plant disease epidemics have wreaked havoc for many centuries. Notable examples are the devastating Great Famine in Ireland and the Witches of Salem. 

Plant diseases form, due to a reaction to suitable environments, when a susceptible host and viable disease causal organism are present. If the interactions between these three factors are monitored over space and time the outcome has the ability to form a “simplification of reality”. This is more formally known as a plant disease model. Lisa Ann Rothman, a researcher in the Department of Plant Sciences at the University of the Free State (UFS) participated in the Three Minute Thesis competition in which she presented on Using mathematical models to predict plant disease. 

Forecast models provide promise fighting plant diseases
The aim of Lisa’s study is to identify weather and other driving variables that interact with critical host growth stages and pathogens to favour disease incidence and severity, for future development of risk forecasting models. Lisa used the disease, sorghum grain mold, caused by colonisation of Fusarium graminearum, and concomitant mycotoxin production to illustrate the modelling process. 

She said: “Internationally, forecasting models for many plant diseases exist and are applied commercially for important agricultural crops. The application of these models in a South African context has been limited, but provides promise for effective disease intervention technologies.

Contributing to the betterment of society
“My BSc Agric (Plant Pathology) undergraduate degree was completed in combination with Agrometeorology, agricultural weather science. I knew that I wanted to combine my love for weather science with my primary interest, Plant Pathology. 
“My research is built on the statement of Lord Kelvin: ‘To measure is to know and if you cannot measure it, you cannot improve it’. Measuring the changes in plant disease epidemics allows for these models to be developed and ultimately provide practical solutions for our farmers. Plant disease prediction models have the potential ability to reduce the risk for famers, allowing the timing of fungicide applications to be optimised, thus protecting their yields and ultimately their livelihoods. I am continuing my studies in agriculture in the hope of contributing to the betterment of society.” 

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