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California went big on AI in universities. Canada should go smart instead
Learning requires struggle, persistence, iteration and deep focus.
Learning requires struggle, persistence, iteration and deep focus.
The authors advocate for a human-centred approach to the educational applications of AI.
Shining a humorous light on some of the tasks that academics deal with on a regular basis.
How AI enthusiasts are disrupting linear learning.
Institutions need to identify what the professoriate needs in order to use new technologies wisely.
The new position is intended to support the university’s efforts to adopt a progressive approach to machine learning and explore the capabilities of artificial intelligence.
The efficacy of learning from apps and achieving intended learning outcomes begs contemplation.
The overwhelming rise of text generators raises the need for reflection and guidelines to ensure their ethical use in an academic setting.
As generative AI disrupts the world of teaching and learning, academia has been slow to address its use in scholarly research.
Despite new technologies, the foundations of teaching and learning have not changed.
All of my students use ChatGPT, but the grade distribution remains the same.