We report on a college-level study of student reflection and instructor prompts using scoring and corpus analysis methods. We collected 340 student reflections and 24 faculty prompts. Reflections were scored using trait and holistic scoring and then reflections and faculty prompts were analyzed using Natural Language Processing to identify linguistic features of high, middle, and low scoring reflections. The data sets were then connected to determine if there was a relationship between faculty prompts and scores. Additional analysis was completed to determine if there was a relationship between scores and students’ GPAs. The corpus linguistics analysis showed that higher-scoring reflections used words that referred to the self, the writing process, and specific rhetorical terms. Additional analysis showed student GPAs did not correlate with holistic scores but that higher scoring reflections were from faculty who included learning goals on reflective writing prompts. Results suggest that teachers can de-mystify reflective writing by linking learning outcomes to textual tasks and that corpus linguistics methods can provide an understanding of how local learning goals are transmitted to students.