The integration of Artificial Intelligence (AI) into developmental education has redefined instructional workflows and student self-regulation. This study examined the implementation of a Custom GPT, a tailored generative AI tool, designed to provide formative feedback in freshman-level integrated reading and writing courses. Previously, providing timely, individualized feedback during in-class sessions was a significant challenge due to high enrollment and limited time. To address this, a Custom GPT was engineered with specific assignment guidelines and strict ethical constraints to prevent automated content generation. Results indicated that while students initially resisted the tool's precise critiques, they eventually developed heightened metacognition. By evaluating which AI-generated suggestions to accept or reject, students took greater ownership of their writing. This shift transformed the AI from a critic into a collaborative scaffold, leading to improved writing quality and independent problem-solving. Furthermore, the tool's ability to reiterate directions reduced procedural questions and allowed the instructor to focus on high-level conceptual guidance. Students reported increased confidence as they navigated these feedback loops. Data suggested that the intervention streamlined the feedback cycle and fostered a more resilient academic identity among first-year writers.
Implementation steps and strategic initiatives
The initiative described by Tiffany Dorsey at Prairie View A&M University provides a strong foundation for a structured implementation plan. The first priority is to establish a faculty-led working group that includes instructional designers, department leadership, and student representatives to formalize the approach described in the abstract. This group should develop a detailed implementation timeline covering the first two semesters, with clear milestones, resource requirements, and accountability structures. The abstract's core insight — that the integration of artificial intelligence (ai) into developmental education has redefined instructional workflows and student self-regulation — should serve as the guiding principle for all implementation decisions.
A pilot phase should be launched in one or two courses or programs, allowing the team to test the approach in a controlled setting before broader rollout. The pilot should include clear entry and exit criteria, a structured feedback loop with participating students and faculty, and a mid-pilot review meeting to address emerging challenges. Resources including technology subscriptions, faculty release time, and professional development support should be secured before the pilot begins to avoid disruption. Documentation of the pilot process — including what worked, what did not, and what was modified — will be essential for scaling the approach.
Following a successful pilot, the institution should develop a scaling plan that extends the approach to additional courses, programs, or student populations. This plan should include a faculty onboarding package, a peer coaching program pairing experienced implementers with new adopters, and a shared resource repository. The abstract's observation that this study examined the implementation of a custom gpt, a tailored generative ai tool, designed to provide formative feedback in freshman-level integrated reading and writing courses suggests that scaling will require attention to both technical and cultural dimensions of change. Institutional leadership should signal commitment to the initiative through public recognition of participating faculty and students.
Sustainability requires embedding the approach in institutional planning and accreditation processes. Annual reviews of implementation data should inform continuous improvement, and findings should be shared with peer institutions through professional networks and publications. Partnerships with organizations such as the SMART Global Technology Innovation Center at Tennessee State University will provide ongoing support and amplify the initiative's impact beyond Prairie View A&M University.