Educators and instructional leaders emphasized responsiveness as a lever for student outcomes, focusing on tools that address confusion at the moment it arises. A just-in-time video approach—created in response to patterns in student questions, misconceptions, and work—was presented as a way to reduce unanswered inquiries and improve alignment with assignment expectations. On the assessment and integrity side, multiple higher-ed legal and policy discussions converged on the need for clearer institutional frameworks for AI misuse allegations. Articles highlighted that faculty decisions about suspected AI cheating can escalate into legal risk when universities blur misconduct categories or fail to build evidentiary records. For administrators, the combined message is operational: tighten guidance for AI use in instruction and evaluation, align faculty with consistent response protocols, and invest in support systems that prevent learning breakdowns before they become disciplinary issues.