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Session Type: Symposium
This symposium is designed to convene self-regulated learning and learning analytics researchers who aim to validate the digital trace data they collect. The session will focus discussion on a shared theoretical model and allow research teams to demonstrate data collection methods, strategies to align data, data processing techniques to establish concurrence, and metrics to establish validity of the interpretation of a digitally traced event across learners, time, and context. Presenters will share findings obtained from studies conducted in-vivo in undergraduate courses and learning management system settings, and in laboratory studies involving tasks sampled from participants own courses. Validity evidence will be appraised through the lens of recent standards proposed to the learning analytics community for tracing self-regulated learning processes.
Code What I Say, Not Just What I Do! Multimethod Investigations Into Digitally Traced Behaviors - Matthew L. Bernacki, University of North Carolina - Chapel Hill; Jeff A. Greene, University of North Carolina - Chapel Hill; Robert D Plumley, University of North Carolina - Chapel Hill; Linyu Yu, University of North Carolina - Chapel Hill; Rebekah F. Duke, University of North Carolina - Chapel Hill; Rebekah Freed, University of North Carolina - Chapel Hill; Christina Hollander-Blackmon, University of North Carolina - Chapel Hill; Kelly Hogan, University of North Carolina - Chapel Hill
Beyond Questionnaires: Measuring Self-Regulated Learning Using Multichannel Trace Data in a Learning Management System - Fatemeh Salehian Kia, University of British Columbia; Ryan S. Baker, University of Pennsylvania; Stephanie D. Teasley, University of Michigan
Toward Improving the Validity of Measurement of Self-Regulated Learning Based on Trace Data - Yizhou Fan, University of Edinburgh; Joep van der Graaf, Radboud University Nijmegen; Lyn Lim, Technical University of Munich; Jonathan Kilgour, University of Edinburgh; Mladen Rakovic, Monash University; Shaveen Singh, Monash University; Johanna Moore, University of Edinburgh; Inge Molenaar, Radboud University Nijmegen; Maria A. Bannert, Technical University of Munich; Dragan Gasevic
Assessing the Relation of Passive and Active Data Streams on Performance in Exam Setting - Matthew C. Graham, University of Oregon; Idalis Villanueva Alarcon, University of Florida; Jenefer E. Husman, University of Oregon; Keith Zvoch, University of Oregon; Md. Tarique Hasan Khan, Utah State University; Darcie Christensen, Utah State University; Shawn Lampkins, Meta