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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

Stochastic Modelling for Reliability from Russia
2013-12-20

 

 Prof Maxim (MS) Finkelstein’s
The Russian professor first visited our university in 1993 and loved the environment. For the last 15 years we were fortunate to have had a man of Prof Maxim (MS) Finkelstein’s (65) stature as part of our Department of Mathematical Statistics.

“I like the atmosphere, the environment and the people of the UFS,” says Prof Finkelstein. “The UFS is a real campus, not part of the city as a lot of other universities in South Africa.”

Prof Finkelstein completed his MSc in Mathematical Physics from the Leningrad State University in the USSR in 1971. Maths and Physics have been a passion of his since a young age. In 1979, Prof Finkelstein completed his PhD in Mathematical Theory of Reliability at Leningrad Elektropribor Institute. Before his career at our university, Prof Finkelstein was a Senior Researcher at St. Petersburg Elektropribor Institute and an Associate Professor at Leningrad Technological Institute.

His long list of publications includes over 170 papers and five books. His monograph Failure Rate Modelling for Reliability and Risk was published by Springer in 2008. More recently another monograph – which was co-authored with JH Cha – was published by Springer in April 2013 and is called Stochastic Modelling for Reliability: Shocks, Burn-in, and Heterogeneous Populations.

Prof Finkelstein’s research interests include mathematical theory of reliability, survival analysis, risk and safety modelling, stochastic processes and stochastics in demography. When asked about leisure and life outside of research, the devoted academic’s response was as follows…

“To have publications, you have to work all the time. I work half of Saturdays and most of Sundays,” Prof Finkelstein says. “I spend three months a year in Russia and Germany – mostly during the European summer – for my research.”
“But apart from that, I like reading – classical Russian authors mostly. I swim in the UFS’s swimming pool almost every day and I play tennis as well.”

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