At Skillsoft, we are eager to explore new ways of leveraging data to boost learning outcomes. This week, we are excited to announce a multi-phase joint development agreement with IBM to leverage the power of big data in enterprise learning. 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 unrivaled 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. Together, we will use big data to drive next generation adaptive learning and integrated development for improved user engagement and learning outcomes.
As the data analytics market continues to experience exponential growth, companies seek new ways to maximize performance using big data technology and analysis. In 2013, Gartner reported that 64 percent of organizations invested or planned to invest in big data technology, a continual increase from previous years. The corporate learning market provides an ideal application area for big data analytics. As organizations continue to offer more online learning to their employees, they need to analyze which learning experiences are the most productive and apply that knowledge to continually improve business outcomes. This combination of business need, data and technology presents an industry landscape that is ripe for capitalizing on the full value of what big data and analytics can bring.
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.
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.