AI and Socially Responsive Pedagogies
The course offers teaching academics at SU an opportunity to broaden their knowledge and experience in the increasingly important topic of increased automation and its role and impact on human-related TLA practices in HE.
The course will draw on sound theoretical perspectives, evidence-based practices, appropriate models & frameworks, combined with the opportunity to think innovatively and creatively about the shift in the relationship between machine and humans.
Rooted in a social justice perspective, the course is designed for academics that have a keen interest in the impact and role of increased automation (e.g. AI) on people, places and practices within the HE TLA landscape. Participants should want to learn more about : (1) their own theoretical understanding and positioning of digital technologies viz human adoption and use, (2) broadening their own understanding and practice in how to communicate and critically engage with automated tools such as GenAI, (3) develop a deeper knowledge and understanding about the broader impact of increased automation on power relations and marginalised students and staff, (4) collaboratively and innovatively explore practical ways in which such issues could potentially be addressed in the in- and out-of-class learning experience.
The course will subsequently focus on the following four broad themes: (1) Theoretical perspectives on understanding the relationship between humans and increased automation (machines), (2) AI literacies and human-centred values, (3) developing a broader understanding of the question of inclusive education when including automated tools in the learning experience, and (4) practically adapting TLA practices towards an inclusive learning experience.
Additional Details
Administrator - De Villiers, Miss Magrieta Elizabeth
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Audience - Teaching staff
Objectives - After the completion of the course, participants will be able to: (1) Outline broad theoretical perspectives in explaining the relationship between humans and machines, (2) identify critical AI literacies appropriate for their unique disciplinary contexts, (3) apply newly acquired knowledge in using different prompting techniques to communicate with GenAI, (4) evaluate and apply different social justice perspectives in relation to AI and their own disciplinary contexts, and (5) develop a working understanding of how to adapt existing TLA practices to enable a more inclusive learning experience when engaging with GenAI.
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Course ID - 327568
Event ID -
Composite ID - 327568
Total Cost - 0
Total Duration - 1 Year(s)
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