Human interaction with information on the Internet, including consumption, creation and distribution, generates data with value that can be mined. Social media analytics, for example, is a red-hot market as organizations of all kinds seek to understand rapidly-emerging trends. Learning Analytics applies similar data-mining techniques to create value for learners, teachers, parents, and education systems.
Traditional top-down approaches to Learning Analytics focus on evaluating the performance of learners, teachers and/or education systems. However, more disruptive strategies look at how learners, teachers and education systems can each harness data appropriate to improving their own performance. There are also learning-specific opportunities related to broader data-mining and analytics markets with respect to sensors, acquisition, participation models, privacy, security, and brokerage.