Research focus areas
The research focus of the Department of Computer Science and Informatics falls within the following areas:
Business Intelligence and Text Mining
The research area focuses on algorithms and methods to process large-scale data sets with a data science approach. These datasets are predominately structured data (SQL databases) or unstructured natural language text (email messages, microblogs, wikis, and web pages). The primary goal is to extract high-quality information by uncovering patterns and trends using advanced data and text mining techniques. This encompasses natural language processing (NLP) for effective language understanding, text categorisation, sentiment analysis alongside machine learning and deep learning. Additionally, we also leverage large language models (LLMs) like GPT to further enhance text generation, while also exploring the integration of chatbot technologies to facilitate user interaction and information retrieval.
Contact person: Prof Eduan Kotzé
Computer Science Education (CSE)
The aim of the Computer Science Education (CSE) research area is to promote research and scholarship both in the field of Computer Science Education and the application of Computer Science to improve teaching and learning. CSE research typically focuses on finding more effective approaches to teach Computer Science to a larger and more diverse audience, or the development of software that can impact upon the teaching and learning environment.
Contact person: Prof Liezel Nel
Eye-tracking Applications
This research area is aimed at promoting eye tracking applications research. This means that eye-tracking is used as a tool to collect data or as part of a proposed solution, such as eye gaze interaction. The focus of the research is currently on eye gaze interaction and reading research.
Eye-tracking Applications Research – Contact person: Prof Tanya Stott
Human-Computer Interaction (HCI) and Extended Reality (XR)
The focus of HCI research is Usability and User Experience (UX) evaluation and development and evaluation of extended reality applications, for example, augmented, mixed and virtual reality. Different evaluation methods may be applied, with emphasis on physiological testing involving brain-computer interfaces.
Contact person: Dr Bennie Botha
Digital Inclusion and Community Engagement in IT
Research in Digital Inclusion and Community Engagement in IT addresses the critical issue of the digital divide by enhancing digital literacy and technology access for communities surrounding the University of the Free State, particularly in rural and under-served areas. By providing tailored computer literacy training and engaging directly with local needs, this research empowers individuals with the digital skills essential for meaningful participation in today's society.
Through collaborative, community-centered IT projects, this work not only improves technological access but also fosters civic responsibility, creating a positive impact on local economic and social development. Initiatives in this field are deeply embedded in service-learning, integrating real-world applications into the educational experience of students. This hands-on approach enriches academic learning, allowing students to apply their IT skills in ways that address genuine societal challenges.
Contact person: Dr Rouxan Fouché