Location: Salon 1
This is a roundtable in the Cyberlearning 2016 Roundtable session.

Microgenetic Learning Analytics: Towards a New Method of Discourse Analysis

Florence Sullivan
We present our work-in-progress on the development of the MLA research approach: a theoretically based, computational method for performing microgenetic analysis of collaborative problem-solving conversations in technology rich learning environments.
Project: Homepage, NSF Award #1252350 – Microgenetic Learning Analytics

Predicting undergraduate STEM achievement using only early learning behavior

Matthew Bernacki
Prediction models are developed using traces of undergraduate STEM learners’ behaviors in their BlackboardLearn course site. The models generate alerts that arrive a week before the first exam, allowing students to adjust their effort and tactics.
Project: Homepage, NSF Award #1420491 – Learning Theory and Analytics as Guides to Improve Undergraduate STEM Education