University in the AI era

Abstract

AI offers many opportunities to enhance higher education: access content at any time, from any location, in various languages and formats tailored to individual needs; provide qualitative and timely feedback; create more engaging, interactive and even personalized learning experiences; enhance teacher and researcher productivity, e.g., helping/automating the grading process, or assisting researchers with summarizing sources, adding citations to essays etc.; improve accessibility for disadvantaged people. However, AI in higher education also faces significant challenges: over-reliance on AI which may lead to a lessened ability to think critically; accuracy, reliability, and ethical use of AI in assessment; potential for biases in AI-generated content; importance of maintaining data privacy; AI's limited understanding of context; cost and logistical challenges of infrastructure; educators training and development; last but not least, resistance to change. Embracing a culture of experimentation, continuous improvement, and thoughtful adaptation, it seems possible-or rather, by now unavoidable-to collaboratively shape an education system that harnesses the power of AI for all stakeholders in the education ecosystem, starting with students.

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