Vusumzi Funda
Biographic Data
| ID | 10046005 |
|---|---|
| NAME | Vusumzi Funda |
| GIVEN NAMES | Vusumzi |
| FAMILY NAME | Funda |
| SIGNATURE | FUNDA V |
| AFFILIATIONS | University of Fort Hare |
| ORCID | 0000-0001-9185-8237 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Use of artificial intelligence tools in hybrid learning among university students in the post Covid 19 era at a historically disadvantaged university in the Eastern Cape
The integration of artificial intelligence (AI) tools in higher education has increased significantly within hybrid learning environments, prompting concerns about accessibility, usability, and equitable adoption among students. This study examines university students’ experiences with AI tools in a South African higher education context, using the Diffusion of Innovations (DOI) theory as the analytical framework. A qualitative research approach …
Integrating ChatGPT in teaching
This study examines the integration of ChatGPT into two Bachelor of Commerce modules at a Historically Disadvantaged Institution in South Africa. It explores how generative AI can enhance learning by promoting critical thinking, engagement, and ethical awareness. Using an autoethnographic approach, two lecturers reflected on an assignment where students generated responses with ChatGPT, compared them to course materials, and evaluated ethical imp…
A systematic review of algorithm auditing processes to assess bias and risks in AI systems
The expanding adoption of artificial intelligence systems across high-impact sectors has catalyzed concerns regarding inherent biases and discrimination, leading to calls for greater transparency and accountability. Algorithm auditing has emerged as a pivotal method to assess fairness and mitigate risks in applied machine learning models. This systematic literature review comprehensively analyzes contemporary techniques for auditing the biases of…
No prominent works on this page.
A systematic review of algorithm auditing processes to assess bias and risks in AI systems
The expanding adoption of artificial intelligence systems across high-impact sectors has catalyzed concerns regarding inherent biases and discrimination, leading to calls for greater transparency and accountability. Algorithm auditing has emerged as a pivotal method to assess fairness and mitigate risks in applied machine learning models. This systematic literature review comprehensively analyzes contemporary techniques for auditing the biases of…
Use of artificial intelligence tools in hybrid learning among university students in the post Covid 19 era at a historically disadvantaged university in the Eastern Cape
The integration of artificial intelligence (AI) tools in higher education has increased significantly within hybrid learning environments, prompting concerns about accessibility, usability, and equitable adoption among students. This study examines university students’ experiences with AI tools in a South African higher education context, using the Diffusion of Innovations (DOI) theory as the analytical framework. A qualitative research approach …
Integrating ChatGPT in teaching
This study examines the integration of ChatGPT into two Bachelor of Commerce modules at a Historically Disadvantaged Institution in South Africa. It explores how generative AI can enhance learning by promoting critical thinking, engagement, and ethical awareness. Using an autoethnographic approach, two lecturers reflected on an assignment where students generated responses with ChatGPT, compared them to course materials, and evaluated ethical imp…
Artificial Intelligence in Healthcare and Education (2 works) · Disadvantaged (2 works) · E-Learning and COVID-19 (2 works) · Higher education (2 works) · Affordance (1 work) · AI in Service Interactions (1 work) · Bachelor (1 work) · Blended Learning (1 work) · Critical thinking (1 work) · Ethical issues (1 work)