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29 November 2023 | Story Anthony Mthembu | Photo Anthony Mthembu and Reabetswe Parkies
EMS Faculty hosts Inaugural Debate in Broadening Curricular Debate series
Carnegie Math Pathways Team- From left to right: Dr Andre Freeman; Chair of the Mathematics Department at Capital Community College, Karon Klipple; Lecturer at the University of New Mexico, Annari Muller; Chairperson of the Learning, Teaching and Digitisation Committee (UFS), Lewis Hosie; Director of Development and Implementation for the Carnegie Math Pathways, Haley McNamara; Research Associate at the Carnegie Math Pathways and Dan Ray; Operations Director for the Carnegie Math Pathways.

The Economics and Management Sciences (EMS) Faculty at the University of the Free State (UFS) recently inaugurated its first Broadening Curricular Debate series, a concept conceived by the Dean of the Faculty, Prof Phillipe Burger. The inaugural debate, held on 22 November 2023 in the Equitas Senate Hall on the UFS Bloemfontein Campus, marked the beginning of a series designed to facilitate discussions among academics on crucial higher education matters.  Annari Muller, Chairperson of the Learning, Teaching and Digitisation Committee (LTDC), expressed the series’ purpose: “We organised this debate series to provide a platform for academics to discuss vital higher education matters. These sessions aim to stimulate critical conversations that empower UFS staff to enrich our curricula, enhance teaching practices, and shape broader educational strategies.’’ 

The motion presented to the house was, ‘The rapid integration of Artificial Intelligence in higher education perpetuates educational inequalities, widens the digital divide, and diminishes the value of personal instruction. The debate followed the structure of Intelligence Squared debates, with two teams comprising UFS staff from diverse departments, including the Department of Business Management, Department of English, Department of Public Management and the Department of Mathematical Statistics and Actuarial Science.

Naquita Fernandes, the Master of the House for the debate, emphasised the deliberate inclusion of members from diverse fields to infuse varied perspectives into the debate. “We believed that this diverse amalgamation of expertise would offer multifaceted insights, ensuring a holistic exploration of the subject matter. The debate structure was meticulously designed to encourage engaging discussions rather than formal academic presentations, allowing for a robust exchange of ideas.’’

The audience had the opportunity to vote on their stance before and after the debate, determining the winning team based on their ability to sway the audience with compelling arguments. The winning team, composed of Dr Hilary Bama (Senior Lecturer in the Department of Business Management), Dr Martin Rossouw (Senior Lecturer in Film and Visual Media), and Dr Rick De Villiers (Senior Lecturer in the English Department), successfully argued against the motion. 

The proposition team highlighted the existing gap between those with access to digital technologies and those without, advocating for a gradual and considered approach to AI integration in higher education. In contrast, the opposition team underscored the value of personal instruction in the face of AI, emphasising AI’s potential to provide constructive and effective feedback,  contribute to adaptive learning platforms, and accommodate unique learning styles and preferences. 

Following the debate, the audience was addressed by a team from Carnegie Math Pathways, providing insights into generative AI tools. Fernandes described the event as a proactive step in shaping the UFS academic landscape, moving away from reactive responses and exploring critical topics and strategies that could influence future policies and practices. 

         EMS Faculty hosts Inaugural Debate in Broadening Curricular Debate series

The Debaters- From left to right: Dr Martin Rossouw; Senior Lecturer in Film and Visual Media, Herkulaas Michael Combrink; Co-Director of Digital Futures, Dr Hilary Bama; Senior Lecturer in the EMS Faculty, Dr Rick De Villiers; Lecturer in the Department of English, Dr Michele Von Maltitz; Senior Lecturer in the Department of Mathematical Statistics and Actuarial Science, and Nkosingiphile Emmanuel Mkhize; Lecturer and Researcher in the Department of Public Management. 

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Dr Abdon Atangana cements his research globally by solving fractional calculus problem
2014-12-03

 

Dr Abdon Atangana

To publish 29 papers in respected international journals – and all of that in one year – is no mean feat. Postdoctoral researcher Abdon Atangana at the Institute for Groundwater Studies at the University of the Free State (UFS) reached this mark by October 2014, shortly before his 29th birthday.

His latest paper, ‘Modelling the Advancement of the Impurities and the Melted Oxygen concentration within the Scope of Fractional Calculus’, has been accepted for publication by the International Journal of Non-Linear Mechanics.

In previously-published research he solved a problem in the field of fractional calculus by introducing a fractional derivative called ‘Beta-derivative’ and its anti-derivative called ‘Atangana-Beta integral’, thereby cementing his research in this field.

Dr Atangana, originally from Cameroon, received his PhD in Geohydrology at the UFS in 2013. His research interests include:
• the theory of fractional calculus;
• modelling real world problems with fractional order derivatives;
• applications of fractional calculus;
• analytical methods for partial differential equations;
• analytical methods for ordinary differential equations;
• numerical methods for partial and ordinary differential equations; and
• iterative methods and uncertainties modelling.

Dr Atangana says that, “Applied mathematics can be regarded as the bridge between theory and practice. The use of mathematical tools for solving real world problems is as old as creation itself. As written in the book Genesis ‘And God saw the light, that it was good; and divided the light from the darkness’, the word division appears here as the well-known method of separation of variables, this method is usually employed to solve a class of linear partial differential equations”.

“A mathematical model is a depiction of a system using mathematical concepts and language. The procedure of developing a mathematical model is termed mathematical modelling. Mathematical models are used not only in natural sciences, but also in social sciences such as economics, psychology, sociology and political sciences. These models help to explain systems and to study the effects of different components, and to make predictions about behaviours.”

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