Learning analytics are an important lens through which to view and plan for change at individual learning paths and educational institutions’ courses. Furthermore, in corporate settings, learning analytics can play a role in highlighting the development of employees through their learning. Information flow and social interactions can yield novel insights into organizational effectiveness and capacity to address new challenges or adapt rapidly when unanticipated events arise.

Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.

When integrated, learning and knowledge analytics form the foundation for adaptive and personal learning by providing learners with relevant learning choices to address gaps between existing knowledge and knowledge needed within a field or domain. Through the use of analytics, organizations also stand to gain new insights into how the work of individuals contributes to organizational capacity for change and innovation.

it will enable faculty to more precisely identify student learning needs and tailor instruction appropriately. This has implications not simply for individual student performance, but in how educators perceive teaching, learning, and assessment.

Similarly, Userfly, designed for usability testing, provides the ability to record the behavior of visitors to websites, and then play it back for analysis.

computer science professor Paul Gestwicki and English professor Brian McNely are co-developing software for enhancing collaborative knowledge work. Using current theories of learning, rhetoric, writing, and human-computer interaction, the pair is designing an interactive visualization system with the goal of providing a richer understanding of collaboration and a framework for more effective evaluation of the collaborative process within writing.