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22 October 2020 | Story Leonie Bolleurs | Photo Supplied
Prof Liezel Nel, who received the 2020 Excellence in Learning and Teaching Award in the category Research in Teaching and Learning, says this recognition of her work is undoubtedly an inspiration to continue her research with even more vigour and enthusiasm.

Prof Liezel Nel, Adjunct Professor in the Department of Computer Science and Informatics at the University of the Free State (UFS), was announced as winner in the category Research in Teaching and Learning at the 2020 UFS Excellence in Learning and Teaching Awards, hosted by the Centre for Teaching and Learning in September this year.

Prof Nel, who is passionate about the Computer Science discipline due to its ever-changing nature, says she not only constantly revises the subject material, but also the way in which she presents it to students. “In order to be an effective facilitator, I adjust my teaching and learning strategies based on the needs of my students and their pace and depth of understanding,” she says.

As an adjunct professor, she currently teaches Web Development and Internet Programming modules on both undergraduate and postgraduate level. Prof Nel also supervises master's and PhD projects in the field of Computer Science Education. 

She believes in a research-informed way of teaching that is sensitive to the needs of individual students in a diverse educational context. Prof Nel is constantly investigating innovative ways in which the teaching and learning experiences of Computer Science students can be enhanced. “My teaching philosophy is geared towards the empowerment of my students in order for them to take control of their own learning experiences,” she adds.

Best teaching experience

She is in the position of working with students who are entering higher education for the first time and is of the opinion that especially first-year students need to be exposed to the best possible teaching experience.

“My students and I work together to overcome many of the unique challenges they are experiencing in order to better prepare them on an academic and a personal level for the successful completion of their higher education journey and for a successful career in Computer Science,” she says.

Besides the role that Prof Nel is playing in preparing first-year students, she also participates in the development of postgraduate students. “By involving all my postgraduate students in teaching and learning-related projects, I believe that I am playing a valuable role in shaping a new generation of teaching and learning scholars,” declares Prof Nel.

Continuous excellence

Her work to enhance the learning experiences of her students has received both local and national recognition. Since 2009, she has received numerous awards, including the UFS prestige award for Excellence in e-learning, the UFS prestige award for Excellence in Teaching; and the UFS Vice-Chancellor’s award for Scholarship of Teaching and Learning. Prof Nel also received the National Excellence in Teaching and Learning award from the Higher Education Learning and Teaching Association of Southern Africa and the Council for Higher Education (CHE).

News Archive

Water erosion research help determine future of dams
2017-03-07

Description: Dr Jay le Roux Tags: Dr Jay le Roux

Dr Jay le Roux, one of 31 new NRF-rated
researchers at the University of the Free State,
aims for a higher rating from the NRF.
Photo: Rulanzen Martin

“This rating will motivate me to do more research, to improve outcomes, and to aim for a higher C-rating.” This was the response of Dr Jay le Roux, who was recently graded as an Y2-rated researcher by the National Research Foundation (NRF).

Dr Le Roux, senior lecturer in the Department of Geography at the University of the Free State (UFS), is one of 31 new NRF-rated researchers at the UFS. “This grading will make it possible to focus on more specific research during field research and to come in contact with other experts. Researchers are graded on their potential or contribution in their respective fields,” he said.

Research assess different techniques
His research on water erosion risk in South Africa (SA) is a methodological framework with three hierarchal levels presented. It was done in collaboration with the University of Pretoria (UP), Water Research Commission, Department of Agriculture, Forestry and Fisheries, and recently Rhodes University and the Department of Environmental Affairs. Dr Le Roux was registered for 5 years at UP, while working full-time for the Agricultural Research Council – Institute for Soil, Climate and Water (ARC-ISCW).

Water erosion risk assessment in South Africa: towards a methodological framework
, illustrates the most feasible erosion assessment techniques and input datasets that can be used to map water erosion features in SA. It also emphasises the simplicity required for application at a regional scale, with proper incorporation of the most important erosion-causal factors.

The main feature that distinguishes this approach from previous studies is the fact that this study interprets erosion features as individual sediment sources. Modelling the sediment yield contribution from gully erosion (also known as dongas) with emphasis on connectivity and sediment transport, can be considered as an important step towards the assessment of sediment produce at regional scale. 
 
Dams a pivotal element in river networks

Soil is an important, but limited natural resource in SA. Soil erosion not only involves loss of fertile topsoil and reduction of soil productivity, but is also coupled with serious off-site impacts related to increased mobilisation of sediment and delivery to rivers.

The siltation of dams is a big problem in SA, especially dams that are located in eroded catchment areas. Dr Le Roux recently developed a model to assess sediment yield contribution from gully erosion at a large catchment scale. “The Mzimvubu River Catchment is the only large river network in SA on record without a dam.” The flow and sediment yield in the catchment made it possible to estimate dam life expectancies on between 43 and 55 years for future dams in the area.
 
Future model to assess soil erosion
“I plan to finalise a soil erosion model that will determine the sediment yield of gully erosion on a bigger scale.” It will be useful to determine the lifespan of dams where gully erosion is a big problem. Two of his PhD students are currently working on project proposals to assess soil erosion with the help of remote sensing techniques.

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