Daniel Brink is a lecturer at the Department of Emergency Medical Care at Nelson Mandela University and has been working in academia since 2017. His niche and research interests are in the areas of artificial intelligence in health professions education, particularly focusing on how AI can support teaching and learning processes. His teaching philosophy centers around the concept of "Think before you teach," emphasizing evidence-based pedagogical approaches that prioritize memory formation and active learning interventions in both classroom and online environments.
His innovative approach to teaching was demonstrated in his 2023 SAAHE conference presentation, where he showcased the implementation of game-based learning for teaching Diabetic Emergencies to second-year Emergency Medical Care and Nursing Sciences students through the Moodle platform. He actively supervises undergraduate students and employs both traditional and technology-enhanced teaching methodologies.
Daniel is currently pursuing his Master's degree in Artificial Intelligence in Health Professions Education, exploring how AI technologies can enhance learning and teaching experiences. His work bridges the gap between emergency medical education and innovative educational technologies, focusing on creating more effective and engaging learning environments.
His teaching focus areas include emergency medical care, with a particular emphasis on designing and implementing evidence-informed teaching interventions that promote active learning and student engagement in both face-to-face and e-learning contexts.
Designation:
Senior Lecturer
Email:
danielb@mandela.ac.za
Contact Number:
0415043947
Faculty:
Health Sciences
Department:
Emergency Medical Care
Qualifications:
NDip (EMC), BTech (EMC)
Professional Memberships:
HPCSA
Orcid ID:
https://orcid.org/0000-0003-0601-879X
NRF Rating:
N/A
Research Interests:
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AI in HPE
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Simulation
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Teaching and Learning
Current non-degree Research Projects:
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Current Final Year Undergraduate/Honours Research Projects:
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Number of currently supervised Masters and PhD candidates (2023 to 2024):
Research Output 2023 to 2024:
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Current Research Collaborations within your Department or Discipline:
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Current Inter-Disciplinary/Multi-Disciplinary/Trans-Disciplinary Research Collaborations:
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