The increasing complexity of student retention in higher education necessitates the integration of innovative technologies within traditional advising frameworks. This study examines the role of the student success specialist in leveraging artificial intelligence (AI) to enhance academic persistence among freshman and sophomore students at a public, historically Black land-grant university. By utilizing AI-driven predictive analytics and automated communication tools, the specialist can identify at-risk behaviors and provide proactive, data-informed interventions tailored to individual student needs. This research evaluates how AI-assisted monitoring impacts the efficiency of success planning and the overall academic self-efficacy of underclassmen navigating the transition to post-secondary education. Preliminary results indicate that the strategic use of AI allows for more frequent, personalized engagement, leading to higher rates of institutional integration compared to traditional, manual advising methods. Furthermore, the findings suggest that AI does not replace the specialist but rather acts as a force multiplier, enabling more targeted humancentric support for diverse student populations. These outcomes underscore the necessity of digital transformation in student affairs to mitigate early-stage attrition and foster a culture of degree completion.
Implementation steps and strategic initiatives
The initiative described by Ursula Robinson at Tennessee State 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 increasing complexity of student retention in higher education necessitates the integration of innovative technologies within traditional advising frameworks — 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 examines the role of the student success specialist in leveraging artificial intelligence (ai) to enhance academic persistence among freshman and sophomore students at a public, historically black land-grant university 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 Tennessee State University.