Evidence-based decision-making is crucial for increasing learner engagement and improving academic effectiveness. By using data to understand and optimize educational environments, institutions can increase rates of progression, retention and graduation in ways that also deliver a greater return on technology investments. Many institutions already collect tons of data, but it can be a challenge to know what to do with it. With the right set of tools, you’ll be able to assess, analyze and improve the learner experience at every stage of the student lifecycle.
Improve Course Design - Understand which approaches to instructional design work best for whom and in what programs. Through deep insight into the impact of specific tools and assignments on student grades and well-defined learning objectives, you can use learning analytics to increase rates of student progression at scale.
Support Student Success - Make sure students are on track to graduate by adopting tools that help to identify structural barriers to progression and that detect early signs of academic risk. Analytics can help you to improve course scheduling and financial aid distribution while powering early alerts in support of a proactive approach to student advising.
Automate Reporting - Increase the ease and efficiency of report creation for accreditation and accelerate access to information for institutional decision-making. Become more responsive to the needs of students in a constantly changing world.