Intending to leverage the power of big data in enterprise learning, Skillsoft has entered into a multi-phase joint development agreement with IBM. The goal of this collaboration is the development of an enhanced adaptive learning experience for users with a focus on productive data-driven learning outcomes. By combining IBM Research’s unrivalled big data and customer experience analytics capabilities with content interaction data from Skillsoft’s 50,000+ learning assets, new methods of creating and assessing optimal learning experiences at an individual level are possible.
“Big data has the opportunity to transform corporate learning outcomes. We are pleased to work with Skillsoft to create new enterprise learning-based big data techniques that will drive personalized user interaction resulting in improved engagement. Our initial findings show insights that can make the learning experience customized to users’ preferences and drive next- generation adaptive learning and integrated development,” said Anshul Sheopuri, Manager and IBM Master Inventor, IBM Research.
The first phase of the initiative not only identified the key drivers of engagement but also demonstrated their connection to improved learning outcomes for users as well as significant business benefits to Skillsoft. In the second phase, the focus is on realizing these outcomes by piloting and then deploying the big data models that are being developed.
“We are thrilled to explore new ways of leveraging data to boost learning outcomes. With IBM’s research scientists and technology, we now have the ability to holistically look at content interaction data and understand trends in user interactions and drivers of engagement. Together, we look forward to further harnessing the power of big data to define a more personalized, adaptive enterprise learning experience,” said John Ambrose, Senior Vice- President, Strategy, Corporate Development and Emerging Business, Skillsoft.
The first phase of the research initiative is complete. Skillsoft and IBM will release future insights of data analysis and relevant findings as the agreement progresses.
