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07 December 2021 | Story Nonsindiso Qwabe
Christa Faber
Innovative Methods in Assessment Practices award winner for the Qwaqwa Campus, Christa Faber.

By working with students and being part of their development into successful young adults, Mathematics and Applied Mathematics Lecturer on the Qwaqwa Campus, Christa Faber, soon realised that she would like to proceed with her own studies, and she set her sights on just that. Obtaining her honours degree in Mathematical Statistics at age 40 inspired Faber to continue pursuing an education. She will be receiving her Master of Higher Education Studies degree during the December graduations.

Teaching has always been her passion, Faber shared fondly. She commenced her teaching career as a Mathematics teacher in a small town, Molteno, in the Eastern Cape. After four years of teaching, she worked as a Mathematics supply teacher in the United Kingdom for two years. Upon her return, she continued her teaching career in Harrismith, where she was appointed as a Science teacher at Harrismith High School, before receiving an offer to assist the UFS Qwaqwa Campus as a Statistics facilitator in 2003. She never looked back.

As a researcher, Faber has spent the past eight years using technology as an educational tool to determine whether it can be used to improve students’ performance and understanding of basic statistics. “I believe students learn best when they expect to be successful and see the value of the course for their personal development,” she said.

Faber conducted an experiment on how an online assessment tool (OAT) could be incorporated into the Statistics module to enhance student engagement, and consequently, the performance of students in a rural setting. The transition from face-to-face teaching to online learning has been a topic across all institutions of higher learning, with students’ response to learning on blended platforms being of great importance.

The learning experiment, conducted pre-COVID, showed the benefits that online assessment tools could have on the performance and engagement of students at a rural university. Faber said she considers it important to know how students engaged in key online and general learning practices as a way of managing and developing rural university education. For the experiment, a pragmatic parallel mixed methods design was used to divide students into two groups to compare the performances of those with online assessment tool interventions and those without.

The intervention recently won Faber the Innovative Methods in Assessment Practices award for the Qwaqwa Campus at this year’s Centre for Teaching and Learning awards. The purpose of the category was to showcase how assessment strategies, tools, and assessment activities are used to assess students in new, original, or inventive ways. She said she was grateful to receive recognition for a research project inspired by her passion for teaching and learning, combined with the use of online assessment technology, to enhance students’ learning experience in the field of statistics. “My ongoing research supports the promotion of student engagement in statistics education, as well as in the general educational field.”

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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