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There has been a proliferation of virtual learning environments (VLE) available to students for both in-class and at-home use. The objective of the current student was to understand the relationships between student self-regulated learning (SRL) with a VLE across a year and achievement on a high-stakes test. Using data from an Algebra VLE, the study used random forests and latent growth models to understand the relationships between student actions in the VLE and achievement in a high-stakes Algebra 1 test. The results show that student actions related to practice problems were the most important predictors of high scores on the assessment. Activities related to viewing videos and participating in a discussion forum were also related to Algebra 1 scores.