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What to Teach - the Challenge of AI?
Abstract
The developments in AI and its consumer level deployments have thrown multiple challenges. Blue collar jobs (physical labor) are threatened by robots, white collar jobs (cognitive labor) by technologies like genAI (chatgpt). Creative labor may also come under threat soon.
As teachers and educational policy workers, we have the responsibility for preparing the next generation for life's challenges and equipping them with competencies that will last an active lifetime, say 30-40 years. With advances in medical technologies this period is likely to be longer - life spans and general health are increasing. AI is changing workplaces/opportunities and the question we need to ask is “what do I teach a child to prepare her for her last job?”
While this is a complex question, it appears an ability to communicate effectively with other human beings, an ability to reason in abstract spaces (like in mathematics) and an ability to teach oneself seem to stand out. This paper is about highlighting the problem and coming up with some directions for thinking about it. It is important for the educational community and is likely to generate a lot of interest and debate.
PCF11 Sub-Theme: Gender, Technology and Innovation in Open Education
Paper ID: 1874
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Date
2025-09
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Commonwealth of Learning (COL)