The Golden Era of Research: Accelerating Time-to-Science with AI Infrastructure, HPC and Gemini

Remember the bubble sheet? For decades, innovation in summative assessment has lagged behind innovation in instruction, in part because of the significant role it plays in shaping student progression and outcomes. AI now creates an opening to rethink assessment. Rather than responding reactively to the challenges AI has introduced into student assessment, these panelists are taking action by intentionally redesigning how learning is measured to better reflect real-world performance.

This session moves beyond guiding principles to explore how thought leaders across higher education are evolving their assessment practices. Panelists from broad-access institutions, national-scale universities, and standardized assessment organizations will share tangible examples of assessment innovation already underway, illustrating how different organizations are assembling systems of tools and methods aligned to their learners, stakeholders, and use cases.

Rather than converging on a single solution, the field is diversifying. As new assessment instruments and evaluation capabilities emerge, institutions are experimenting with methods that support personalization, scale, and evolving skills while preserving reliability and validity. These approaches emphasize continuous assessment, authentic tasks, and design choices that embed academic integrity upstream rather than relying solely on monitored exams.

Topics will include:

• • AI-enabled assessment methods that emphasize authentic, job-relevant evidence and continuous measurement
• • Building integrity into every step of the learning and assessment process
• • Balancing automation and human judgment to preserve rigor and trust

Attendees will leave with concrete examples, design patterns, and lessons learned, and see how thought leaders are evolving assessment practice in the age of AI.