A new study by learning analytics researchers presents key considerations for generative AI (GenAI) educational tools so they are carefully developed to support, rather than replace, human learning.
A new study by learning analytics researchers presents key considerations for generative AI educational tools so they are carefully developed to support, rather than replace, human learning., the paper outlined essential factors for researchers, policymakers and technology companies to consider while adapting GenAI to support human learning in all levels of education and workplaces.
"Imagine students engaging in debates with digital twins of Socrates to explore ancient Greek philosophy, learning impressionist painting techniques from a humanoid robotic mentor modelled after Claude Monet, or visualising Einstein's special theory of relativity in virtual realities," Professor Gasevic said.
The paper also emphasised that policymakers and tech companies must ensure accountability, develop appropriate ethical guidelines, and consider inclusivity when regulating and designing GenAI tools for education. "We anticipate a shift in educators' roles, with GenAI reducing the burden of knowledge dissemination, allowing teachers to focus on deeper connections with students as mentors and facilitators," Dr Yan said.
The research was supported by the Australian Research Council, Australian Government through Digital Health CRC, Defense Advanced Research Project Agency, and Jacobs Foundation.
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