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.

This special issue takes up a singular question: What would it mean to incorporate social justice into our writing assessments? This issue aims to foreground the perspectives of contributors whose voices are not typically heard in writing assessment scholarship: non-tenure-track faculty, HBCU WPAs, researchers interested in global rhetorics, queer faculty, and faculty of color. These voices have too often not been heard in writing assessment scholarship. There is no doubt that the first step toward projects of social justice writing assessment is to listen to those who have not been heard, to make more social the project of socially just writing assessment. The guest editors argue that there is much to be learned by making the writing assessment “scene,” as Chris Gallagher would say, more inclusive.

In this article, we investigate disparate impact analysis as a validation tool for understanding the local effects of writing assessment on diverse groups of students. Using a case study data set from a university that we call Brick City University, we explain how Brick City’s writing program undertook a self-study of its placement exam using the disparate impact process followed by the Office for Civil Rights of the US Department of Education. This three-step process includes analyzing placement rates through (1) a threshold statistical analysis, (2) a contextualized inquiry to determine whether the placement exam meets an important educational objective, and (3) a consideration of less discriminatory assessment alternatives. By employing such a process, Brick City re-conceptualized the role of placement testing and basic writing at the university in a way that was less discriminatory for Brick City’s diverse student population.

Diversity in writing assessment research means paying attention to the consequences of writing assessment for all students’ learning and writing. This special issue of Research in the Teaching of English brings together researchers from various national contexts who share such a perspective to explore the meanings and roles of writing assessment today.

This article describes a beginning research partnership between the Massachusetts Institute of Technology (MIT) and two Mexican universities, the Universidad de Quintana Roo (UQROO) and Instituto Tecnológico y de Estudios Superiores de Monterrey, that has developed and implemented an environment merging the pedagogies of English as a foreign language (EFL) and writing across the curriculum (WAC). The article presents a theoretical background for this partnership based on the research on globally networked learning environments (GNLEs) and then focuses on the early stages of the project as the research teams define their objectives, research methods, and teaching approaches.