Learning is a product of interaction. Educators expend enormous amount of effort to design their learning content for maximizing the value of these interactions. There is no shortage of data when it comes to the learning experience. Student evaluation, performance data and curriculum analysis are just the tip of the iceberg for the course administrators, instructional authors and researchers who seek to transform educational data into meaningful and strategic learning experience. Student information in the form of grades, rates of participation, credit hours and work schedules piles up over the years, and educational institutes can now utilize learning analytics solutions to turn all these data into actionable insights. Learning analytics is the integration of computer science discipline such as data mining and computational analytics with learning and education.
