The Human Algorithm: Can Technology Advance Student Success Without Replacing the Student?

In an era of predictive analytics, AI copilots, adaptive learning platforms, and algorithmically informed advising, higher education stands at a pivotal moment. The Human Algorithm: Can Technology Advance Student Success Without Replacing the Student? will explore this question from the perspectives of a graduate student alongside senior learning technologists, and higher education administrators and educators. This panel will address the most pressing questions facing contemporary students and institutions: Are we using technology to expand student agency—or unintentionally shifting authority from students to systems?

This panel is not anti-technology. Nor is it resistant to innovation. Instead, it interrogates how institutions define and design “student success” in environments increasingly optimized for completion, retention, and measurable outcomes. As AI tools grow more predictive—and in some cases prescriptive—how do we ensure that students remain authors of their own educational journeys rather than subjects of algorithmic steering?

Panelists will examine the ethical, pedagogical, and operational implications of AI-enabled student success initiatives. Topics will include the balance between nudging and autonomy, equity in predictive modeling, the role of human judgment in data-informed decision-making, and how institutions can design guardrails that protect agency while scaling support.

By elevating the lived experience of a graduate student alongside executive and technical perspectives, this conversation invites higher education leaders to reflect critically: Can we build systems that enhance belonging, persistence, and achievement—without diminishing curiosity, exploration, and intellectual growth? The future of student success may depend not just on smarter algorithms, but on preserving the humanity at the center of learning.