RESOURCE: MOOCs and other ed-tech bubbles | Ed Tech Now
“analytics is predicated on “big data” but in education, big data will not exist until we sort out the current failure of interoperability”
By spotting patterns in the data produced by students’ online learning activity, learning analytics systems should be able to help:
- predict student progress;
- inform adaptive learning strategies (sequencing digital learning activities or recommending human interventions);
- profile a student’s current capabilities;
- automatically group students, depending on their learning needs;
- identify the most effective learning strategies in different situations;
- aggregate and present complex data in ways which helps administrators, teachers and students manage instructional processes.
Written by Brian S McGowan, PhD
Dr. McGowan has served in leadership positions in numerous medical educational organizations and commercial supporters and is a Fellow of the Alliance (FACEhp). He founded the Outcomes Standardization Project, launched and hosted the Alliance Podcast, and most recently launched and hosts the JCEHP Emerging Best Practices in CPD podcast. In 2012 he Co-Founded ArcheMedX, Inc, a healthcare informatics and e-learning company to apply his research in practice.
