Tseng et al. (2014) address a key application of learning analytics, prediction of student learning performances, and risks of dropping out.
Future research needs to focus on the extent to which institutions are engaged in the implementation of analytics support student learning, and the quality of teaching, and exploring possible ways of addressing challenges that can slow implementation of analytics in higher education.
But the increased use of student analytics comes at a time of increasing concern about surveillance.
In particular, they stressed the role of analytics in strengthening knowledge of student behavior and demographics, optimization of resources, and improving faculty performance.
The platform includes a feed of classroom activities, as well as a gradebook and analytics for students.
Based on the students' app engagement, various data was collected through the app's analytics centre, including the speed of student responses to quiz prompts and the number of attempts it took a student to get the answer right.
When I first arrived at Babson College as a professor fifteen years ago, there wasn't a lot of student interest in analytics.
A company in the education business has a lot of opportunities to sell things to school systems – traditional textbooks, e-books, online bite-sized tutorials, computer simulations, counseling and other services to enhance student success, analytics around drop-indicators, and measures of student engagement and teacher effectiveness.
The other new feature, Kno Me, strives to make analytic junkies out of students (while helping their education).
In this article we analyze the case of student reasoning with analytic expressions as they reinvent solutions to systems of two differential equations.
