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Reposted by Synthonyx Technologies
Very interesting article for anyone interested in the use of AI in education.
IMO domain-specific AI models instead of generic trained ones are essential to address many of the challenges mentioned and to effectively address concerns like feedback, bias, context, etc.
What's your opinion?
IMO domain-specific AI models instead of generic trained ones are essential to address many of the challenges mentioned and to effectively address concerns like feedback, bias, context, etc.
What's your opinion?
Hi Arjan, my colleague and I wrote this article on why GenAI does not have to undermine education. Please help us share it by reposting to promote dialog.
www.frontiersin.org/journals/art...
www.frontiersin.org/journals/art...
Frontiers | Shaping integrity: why generative artificial intelligence does not have to undermine education
The integration of generative artificial intelligence (GAI) in education has been met with both excitement and concern. According to a 2023 survey by the Wor...
www.frontiersin.org
June 28, 2025 at 8:56 AM
Very interesting article for anyone interested in the use of AI in education.
IMO domain-specific AI models instead of generic trained ones are essential to address many of the challenges mentioned and to effectively address concerns like feedback, bias, context, etc.
What's your opinion?
IMO domain-specific AI models instead of generic trained ones are essential to address many of the challenges mentioned and to effectively address concerns like feedback, bias, context, etc.
What's your opinion?
Centralized education was built for scale - not people.
It assumes every learner is the same.
It locks knowledge behind bias, paywalls, certificates, and exorbitant tuition fees.
It extracts data — but offers no ownership
It assumes every learner is the same.
It locks knowledge behind bias, paywalls, certificates, and exorbitant tuition fees.
It extracts data — but offers no ownership
June 27, 2025 at 4:20 PM
Centralized education was built for scale - not people.
It assumes every learner is the same.
It locks knowledge behind bias, paywalls, certificates, and exorbitant tuition fees.
It extracts data — but offers no ownership
It assumes every learner is the same.
It locks knowledge behind bias, paywalls, certificates, and exorbitant tuition fees.
It extracts data — but offers no ownership