Massive Open Online Course (MOOC) Analytics

Massive Open Online Courses (MOOCs) have tens of thousands of students enrolled in an online course at the same time. This is many more students than could fit into a physical classroom. Administering the course online also allows us to record information previously unavailable to us. This large student population and new data collection combine to give us much more data than we have ever had before.

What question can we now ask and answer? What should we record? What can the information tell us? What will it tell us? How do we see what the information has to offer us?

MOOC Dashboard

Researcher: Kristin Stephens
Advised by: Armando Fox and Marti Hearst
Collaborators: Kate Hsiao, Divya Karthikeyan, and Kiran Chandramohanan

Dashboards serve a very specific purpose to "display the most important information needed to achieve one or more objectives; consolidated and arranged on a single screen so the information can be monitored at a glance." - Stephen Few

This project's goal is to create a dashboard for MOOCs. However instructors do not necessarily know what they need for such a dashboard. So first we will look into a MOOC instructor's teaching process. We want to understand what information they are seeking and when in their process they are seeking it. This will then inform what information is pertinent for monitoring MOOCs and how best to display that information in a compact way.

This project started as a class project in INFO247, our final report can be found here. Below is a screenshot of the prototype dashboard we developed for BerkeleyX: CS188.1x Artificial Intelligence and an interactive version can be found here.

MOOC Dashboard Prototype Screenshot