AI-Enabled Transformation of Information Objects Into Learning Objects
A look at how AI tools support transforming information access into information comprehension.
A look at how AI tools support transforming information access into information comprehension.
Content providers operate in the systems ecosystem of the licensing academic library, but they have been challenged to integrate their offerings as seamlessly into this ecosystem as would benefit researchers. To adapt, publishers need to examine not only the usability of their own platforms and how they can continue to be improved, but also how they are in practice used in scholarly research alongside other content platforms and intermediary services. As distance learning continues its inexorable growth and research practices continue to anticipate always-connected devices, it is becoming more urgent for libraries, content providers, and other intermediaries to work together to address these problems.
A researcher’s core interests may be in a specific set of areas, but effective discovery also helps that researcher to stay aware of adjacent areas of interest or even potential areas of unknown interest. Personalized approaches to discovery can improve research efficiency without sacrificing serendipity.
The benefits of personalizing discovery are already playing themselves out in the consumer space, suggesting tremendous opportunities for using data to personalize the research process. Given the scale of data needed for effective personalization, the implications of changing discovery processes will cascade through the scholarly ecosystem.
In this article we take a look at the start-up incubation business of Digital Science. Robert Harington acts as your unreliable narrator through a revealing conversation with Timo Hannay, Managing Director of Digital Science.
Springer’s acquisition of Papers shifts the publisher into the workflow, and provides a unique opportunity to become a unifying resource.