What’s of interest? AI-Enabled Transformation of Information Objects Into Learning Objects - The Scholarly Kitchen
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The past year has seen remarkable development in the AI-enabled services embedded in information tools across the scholarly communications industry. Looking at library-licensed content and tools, AI is powering a wide range of services for our users. Retrieval-augmented generation technologies are particularly prominent, powering experiments in search and discovery. Other applications assist readers by integrating information from multiple sources into a single synthesized text. Yet others support readers in investigating a single text, particularly longer documents, to gain understanding, perspectives, and insights. Finally, tools are emerging that leverage AI as a coach, scaffolding and supporting readers – particularly students – to foster growth in knowledge and skills as they engage with content.
I find these latter two – AI for insight and AI as coach – particularly intriguing. By transforming information objects into learning objects, these tools unlock the contents of articles and books and expand their reach beyond experts who can already relatively easily make sense of what they are reading.
In this post, I’d like to share my experiences with and thoughts about these tools by exploring three examples: Alethea, Papers AI Assistant, and the JSTOR interactive research tool.
Where is it?: AI-Enabled Transformation of Information Objects Into Learning Objects - The Scholarly Kitchen
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