Many departments trust their assignments and rubrics, yet still struggle with inconsistent scoring. This week focuses on how GenAI can support better calibration without taking judgment away from faculty.
Rubrics are having a moment again, and for good reason. In a GenAI environment, many programs are rechecking what they ask students to do, how they define quality, and whether their scoring language still captures the learning they care about. Audience: Assessment coordinators, faculty leads, and program directors | Mode: Workflow week | Level: Intermediate
Many programs collect solid assessment data but stall when it comes to action. Reports get filed, conversations happen, then momentum fades. This week focuses on a practical workflow that uses GenAI to help translate assessment findings into clear, trackable improvement actions that programs can actually follow through on.
Students now have access to powerful AI tools that can draft essays, summarize readings, and generate solutions. That reality forces a simple but uncomfortable question for higher education. Are we still assessing student thinking, or are we assessing the ability to prompt a machine?
Most programs assume their learning outcomes are well covered across courses. But when you actually map assignments to outcomes, gaps and redundancies appear. This week, we explore how GenAI can accelerate curriculum mapping and help programs see their assessment coverage clearly.
Rubrics are the backbone of meaningful assessment, but building them well takes time, debate, and iteration. This week, we explore how GenAI can help you design, refine, and strengthen rubrics faster while keeping faculty firmly in control of academic standards.
If AI can draft essays, summarize research, and outline arguments in seconds, what exactly are we assessing when we assign traditional analytic tasks? This week we step into the deep water: how to design and evaluate higher-order thinking—analysis, synthesis, evaluation, creativity—when students have access to powerful generative tools.
Assessment data doesn’t change programs, people do. This week’s post focuses on a practical GenAI workflow for transforming dense tables and fragmented findings into clear narratives and visual summaries that faculty and leaders can actually use.
Most curriculum maps look complete on paper—but still leave teams guessing where learning actually happens. This week’s post shows how GenAI can help assessment professionals turn static maps into living diagnostic tools, revealing alignment gaps, redundancies, and missed assessment opportunities—without replacing faculty expertise.
High‑Impact Practices promise transformational learning—but assessing their impact consistently and equitably remains a challenge. This week’s post shows how GenAI can help institutions evaluate HIPs more effectively without turning meaningful learning into shallow metrics.
Surveys are everywhere in assessment—and so are low response rates, confusing items, and unusable open‑ended data. This week’s post shows how GenAI can act as a survey quality partner before you ever send a link, helping you protect validity, save time, and earn more trust in your results.
Quantitative data may travel fast, but qualitative evidence carries the meaning. This week’s post focuses on a practical, responsible way to use GenAI to analyze, synthesize, and actually use qualitative data, closing a long‑standing gap in mixed‑methods assessment work. 🎯 Introduction Open‑ended survey responses, reflections, focus groups, and artifacts are goldmines for understanding student learning