#culturally-responsive-teaching

#culturally-responsive-teaching

McMahon is familiar with organizations built around an increasingly unstable man who is a genius at spinning story lines that inflame the crowd and damage enemies and institutions but, if you think too hard about them, don't necessarily add up to a coherent narrative.

A diagnostic assessment is a pre-instruction evaluation used to identify learners' prior knowledge, skill gaps, and misconceptions before teaching begins. Its purpose is not to grade performance, but to inform decisions about teaching, pacing, and support.

Learning today doesn't usually look broken. It looks like a well-run treadmill, always on, always moving, quietly exhausting everyone. New initiatives, new tools, new priorities. New "must-have" skills. Even when learning is thoughtfully designed, there's a nagging sense that nothing sticks because nothing gets a chance to. People finish the course, grab the badge, and move on to the next thing before the last thing has had time to show up in how they work.

Collective learning is how a group or system creates, improves, and keeps knowledge. This knowledge lasts beyond any one person or cohort. That is the most practical collective learning definition, because it shifts the focus away from individuals and toward the learning system itself.

Cuts that hurt are obvious: layoffs, program closures, college closures, furloughs, deferred maintenance, pay freezes, travel freezes, etc. It's a well-worn playbook at this point. Most of the moves in this category involve either attacking employee compensation, which causes obvious pain, or putting off necessary investments and living with gradual declines in quality.

The program introduces Cali, a "human-centered" AI tool designed to enhance-not replace-human support. Cali can converse in more than 140 languages and help students complete the Free Application for Federal Student Aid and the California Dream Act Application (CADAA). The tool is expected to reduce errors on the forms and help students stay on track toward enrollment and graduation.

Bias risks: AI can amplify inequalities, like mislabeling non-native English writing as AI-generated. Privacy concerns: Schools face rising cyberattacks, and data misuse risks are high. Accountability: Human oversight is crucial to prevent over-reliance on AI.

This is a striking decision at a moment when public confidence in higher education is eroding. It is also puzzling because rigorous research and evaluation have demonstrated, over and over, the value of the work of centers for teaching and learning, including positive impacts on student learning outcomes, institutional effectiveness and faculty development.