The tensions of AI shouldn't come as a surprise in a system wired for speed and output
The asymmetry of cost and reward. The sector has become adept at mapping AI's costs: environmental impact, invisible labour, bias , hallucination, ...
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Trained to stop learning: How students are experiencing assessment and learning in an age of AI
Every heavy AI use case is diagnostic information about what the institution is not providing. Finding 12: Time poverty is a structural driver of ...
Black and Asian students use AI most carefully, and punitive policies put them most at risk
When I was staring at the data tables behind the HEPI/Kortext Student Generative Artificial Intelligence Survey the other day, something quite ...
The shadow AI university – who gets an AI-enabled education? | Wonkhe
Students are quietly organising around AI use in an emergent peer-led innovation network. But, Chie Adachi warns, inequitable access could ...
The AI guidance gap is a mental health problem | Wonkhe
... risk getting it wrong – suggesting there needs to be greater ... Iftikhar's study of AI chatbots identified 15 ethical risks , including ...
Safeguarding the art of lecturing in an AI age - Wonkhe
However, if students “feed” AI our generated content, and the AI ... copyright agreements with their publishing company may negate any protection sought ...
Making human learning visible in a world of invisible AI | Wonkhe
As generative AI becomes increasingly invisible in higher education, universities risk struggling to explain what makes human learning distinctive ...
Higher education needs a plan in place for student “pastoral” use of AI | Wonkhe
While ChatGPT-written essays dominate the sector's AI discussions, the rise of “pastoral AI” highlights a far more urgent and overlooked AI use case – ...
What should the higher education sector do about AI fatigue? - Wonkhe
... risk of generative AI . One person will see AI as a radical first step in an intelligence revolution; the next will dismiss it as “mostly rubbish ...
It smells like AI , but how do I prove it? - Wonkhe
... AI misconduct. The casework exposes the weaknesses in AI detection – software bias against certain writing styles, false positives for non-native ...