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We examined how evaluative judgments after a first unit exam in a large, introductory college biology course predicted changes in learning behaviors, and how those changes predicted performance on a subsequent exam. We used natural language processing on data from a reflective essay written after a first exam to identify language that reflected evaluation of prior studying and plans to adapt learning. Also, we utilized digital traces of learning behaviors to measure students’ adaptation from their prior use of learning resources. Results revealed students’ evaluations predicted how extensively they discussed plans to adapt their learning process. Plans to adapt described in written reflections predicted an increase in the frequency of desirable learning behaviors, which in turn predicted higher subsequent exam scores.
Mladen Rakovic, Monash University, Australia
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
Kelly Hogan, University of North Carolina - Chapel Hill
Kathleen M. Gates, University of North Carolina - Chapel Hill
Abigail Panter, University of North Carolina - Chapel Hill