The Role of Learning Science in Student Success
Concurrent Session 2
How can we use data and analytics to improve teaching and learning and inform instructional design? In this hands-on session, we will first orient attendees to the emerging fields of learning science and data science. We then provide interactive sample exercises and concrete methods for deriving learning insights and improving student outcomes.
As a learning community, there is a need to start thinking about student success and learner success in terms of increasing the odds and probability of success. Educators are interested in learning “How students learn?” from a learning science perspective and “What increases their odds or probability of success?” from a learning analytics perspective. Learning Analytics is a fairly new field where we are now getting data about students learning in the “wild.” Now we can get access to millions of students records to get insights into what is supporting or hindering our learner success.
Data tells a story…it can explain what is going on in your class, program, and institution. As instructors, designers, and administrators, the amount of data can be overwhelming.
In this hand- on presentation, you will be able to “play” with data, brainstorm solutions with colleagues, develop actions that you can take back to your institutions that embrace how learning science, data science, and educational design serve as a foundation to improve teaching, learning, and student success.