Computers and Composition

This case study examines factors that significantly affect student success in online first- and second-year composition at an open-access community college and, in doing so, contributes to scholarship on online composition and student success by empirically linking community and communication through high-context communication and students’ holistic contexts to indicators of academic outcomes and validating experiences. The study analyzes 175 participant responses to five low-stakes check-in assignments designed around the course-level concept of servingness. Eighty-one patterns identified in earlier research were grouped into 14 factors from which variables were derived. These, combined with check-in responses, course grades, course, sex, ethnicity, and race, yielded a total of 27 variables for quantitative analysis. Using chi-square tests (alpha = .10) and multiple correspondence analysis, 15 of 27 variables showed significant associations with course grades. Positive associations with academic growth, peer interaction, instructor engagement, inclusion, course design, and college resources aligned with higher check-in completion and higher grades; negative associations aligned with lower check-in completion and lower grades. Background characteristics, specifically course (English 1010/2010), ethnicity (Hispanic/Non-Hispanic), and race (White/Non-White), also showed significant associations with course grades. Results suggest that academic outcomes and validating experiences must be evaluated together to inform strategies that support both academic achievement and students’ racial and cultural ways of knowing. Future research should examine how targeted, low-stakes assignments and high-context communication practices operate across institutions and student groups, including longitudinal analyses that track how community, communication, and access to college resources interact with student success over time.

• AI can offer useful writing feedback when used combined with peer review. • AI and peer responses were often similar and mutually reinforcing. • When AI and peer responses differed, the perspectives were often complementary. • Evaluating AI feedback fostered student agency and AI literacy. Cycles of drafting and revising are crucial for student writers' growth, and formative assessment plays an important role. However, many teachers lack the time or resources to provide feedback on drafts. While research suggests that AI feedback is high enough quality to be used for draft feedback, especially when assignment-specific criteria are used (Steiss et al., 2024), it must be used in a human-centered process. AI has the potential to reduce educational equity gaps in writing support (Warschauer et al., 2023), but when narrowly implemented, technologies can deepen divides (Stornaiuolo, et al., 2023). Peer and AI Review + Reflection (PAIRR) combines peer review best practices with AI review in an approach that emphasizes student agency and reflection. Using a mixed methods approach, this study examined student perceptions of AI utility in the context of peer review. Results indicate that AI tools offer useful feedback when combined with peer review. Students found the similarity between AI and peer feedback reassuring, while also valuing their complementary perspectives. Moreover, by evaluating AI outputs, students developed AI literacy, gaining familiarity with AI feedback's affordances and limitations while learning ethical ways to use AI in their writing processes.

• Hispanic women engage more in check-in assignments than men. • Hispanic enrollment (37.71 %) exceeds community college average. • Main themes: course perceptions, personal challenges, faculty-student relations. • Check-in assignments enhance engagement and faculty-student bonds for Hispanic women. • Advanced course students report more personal challenges, greater faculty reliance. While online community college students’ engagement with coursework, class retention, and motivation to participate are critical for academic success, these needs often go unmet for diverse and underrepresented populations, especially in the absence of culturally responsive and inclusive teaching practices. This study contributes to the limited research on culturally responsive pedagogy in online community college settings by exploring the implementation and impact of high-context communication practices in that setting, with a focus on improving engagement and academic outcomes for diverse student populations. Drawing on frameworks of culturally responsive teaching and high-context communication, the research examines the effectiveness of “check-in assignments” as a low-stakes, personalized intervention designed to foster stronger faculty-student relationships, enhance student belonging, and bridge cultural communication gaps in online learning environments. Using a mixed-methods approach, the study analyzes quantitative data on assignment engagement and qualitative themes from student responses. Findings indicate that high-context communication practices promote deeper engagement, especially among Hispanic and non-Hispanic females, while highlighting disparities in engagement among male students. Key themes—course perceptions, personal challenges, and faculty-student relationships—underscore the role of culturally informed interventions in addressing the needs of underrepresented groups and enhancing engagement and academic success. Future research could expand on these findings by exploring longitudinal outcomes and adaptive strategies for diverse learning environments.