Education 2.0 & 3.0

Research report: The impact of AI, machine learning, automation and robotics on the information profession

The purpose of this independent research is to help our professional community to understand how AI, machine learning, process automation and robotics are either already impacting the daily work of healthcare information professionals or likely to do so in the near future.

In it author Dr Andrew Cox from Sheffield University, calls for a joined-up and coherent response from information professionals, enabling us to maximise the benefits of AI, machine learning, automation and robotics for information users while mitigating the emerging risks.

The full research report, published by CILIP with the support of Health Education England, sets out a detailed and methodical analysis of the challenges and opportunities presented by this new generation of technologies.

 

Report at: https://drive.google.com/file/d/19gWoLV_rSP1qKS9Z8KOoorRAQuHmFN4u/view 

Via Elizabeth E Charles

Most college students have been exposed to more technology than students of previous generations. This does not make them technology experts.  Students do a lot of searching online for information. This does not make them expert, or even good, searchers. Thanks to Google, students can always find information on any topic.  This does not mean that they have found true, accurate, useful information and does not make them expert finders of information. Students need instruction and guidance in learning how to find, evaluate, select and use information, just as they need instruction and guidance in learning anything else. They are not born "information literate" and frequent, uninstructed Googling will not make them so.

Via Elizabeth E Charles