Massive Open Online Courses (MOOCs) have created a surge of interest in the future of higher education in recent years. The “massive” nature of these courses indicates that they are attracting unprecedented numbers of students. For example, in an 18 month period, leading MOOC providers edX and Coursera enrolled nearly 10 million learners in close to 1000 courses. In Fall 2014, the LINK Lab spearheaded a MOOC focused on Data, Analytics, and Learning (DALMOOC). DALMOOC attracted over 19,000 participants while serving as a test bed for several innovative designs and technology tools. The LINK lab and its research associates are currently examining the data from DALMOOC to see how they can glean insight into open online learning. Some of the issues that this analysis will examine include: How sustainable is the MOOC model (a question that has plagued MOOCs since the first MOOC was offered in 2008)? How well do learners adjust to new technology and course designs? What aspects of open learning are most effective in online environments? Additionally, large amounts of data were recorded about participant activities (clicks, activities, video views, etc.) in the course, the analysis of which can help researchers understand how these participants engage with free content.
|The Data, Analytics, and Learning MOOC provides an introduction to learning analytics and how it is being deployed in various contexts in education, including to support automated intervention, to inform instructors, and to promote scientific discovery.|
|The What Now? Emerging Technologies and Their Practical Application in K-as Teaching and Learning MOOC is an education and teacher training course focusing on the intersection of research and actual classroom practice. It brings together thought leaders, campus leaders, and practicing teachers to provide a practical framework for integrating technology into K12 teaching and learning.|