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30 October 2018
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Story Rulanzen Martin
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Photo Peet van Aardt
Some of the student writers who contributed to the anthology that tells their stories in Sesotho, isiXhosa, isiZulu, English and Afrikaans.
How do you transform the higher education curriculum? You involve the exact people the curriculum is intended for. The book, Initiative for Creative African Narratives (iCAN,) illustrates how decolonisation can be achieved through literature for students by students.
iCAN is an initiative by the Centre for Teaching and Learning (CTL) at the University of the Free State (UFS) to mentor students in creative and narrative writing. Under the mentorship of Dr Peet van Aardt, project coordinator, and Ace Moloi, author and UFS alumnus, iCAN Volume 1 was recently launched with 47 short stories written by UFS students.
“The project is a response from the centre for the ever-increasing need for decolonised curricula, steeped in the local cultural perspective of ubuntu,” said Dr Van Aardt.
“This book is an example for how decolonisation can be implemented,” said Prof Francois Stydrom, Senior Director of CTL. The overall aim of the iCAN project is to have the content that materialised from it to be included in the curriculum of first-year students at UFS in the near future.
Book provides multiple voices
Starting in May 2018, CTL presented a series of creative writing workshops on all three of the UFS campuses. “It’s a medium that allows a diverse range of students to express their views and develop their voices as writers,” said Prof Strydom.
It is a form of empowerment, to pass the baton to students to improve the UFS curriculum by writing and publishing their own stories, thereby contributing to larger bodies of knowledge through their lived experiences.
“I believe we as a university need to enable students so that they move away from just being users to becoming contributors to the curriculum,” Dr van Aardt concluded.
Researcher works on finding practical solutions to plant diseases for farmers
2017-10-03
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.”