AI basicsHow generative AI works, and does notUnderstand what these tools are doing under the hood so you can judge their output.AI basicsWhat it does well, and where it failsMatch the tool to tasks it is good at, and know where it breaks.AI basicsBias, privacy, and what not to shareTwo cautions every instructor should carry into any use of these tools.Integrity and AIWhy AI detectors are unreliableThe evidence on detection tools, and why they cannot anchor your integrity plan.Integrity and AIThe cost of a detection-first approachWhy building your course around catching cheaters backfires.Integrity and AIRedesign over detectionThe thesis of this course: change the work, not the surveillance.Assignment designMake the task authenticDesign work that connects to real contexts a generic tool cannot fake.Assignment designMake thinking visibleAssess the path, not just the destination, so the work shows its reasoning.Assignment designLocalize and personalizeAnchor work in the here and now of your class and your students.Assessment redesignFrom product to processRebalance grades so the process carries real weight.Assessment redesignScaffold, draft, reflectThree reliable moves that build learning and resist outsourcing at once.Assessment redesignAlternative and authentic assessmentsSometimes the best response to AI is a different kind of evidence.Assessment redesignThe resistant-to-integrated spectrumDecide, per assignment, where it should sit on the AI spectrum.Teaching with AIWhen and how to allow AIProductive, disclosed AI use can serve learning when you set the terms.Teaching with AIDesigning AI-integrated assignmentsAssignments where using AI well is the skill being taught.Teaching with AITeaching students to evaluate AI outputA core literacy: judging whether AI output is any good.Teaching with AIDisclosure and citationSet a clear, simple norm for acknowledging AI use.Course AI policyWrite a clear, tiered policyA good AI policy is specific, tiered, and easy to follow.Course AI policyCommunicate and model expectationsA policy only works if students understand and trust it.Course AI policyAlign with institution and state guidanceMake sure your course policy fits the rules where you teach.Your own workflowDraft course materials with a human checkUse AI to speed your own prep, with you as the editor of record.Your own workflowUse AI for accessibility groundworkAI can help with first-pass accessibility, with a human finishing the job.Your own workflowThe privacy rule for your own useOne firm line: keep student data out of public tools.Access and fairnessAccess and cost disparitiesAI access is uneven, and your course design should account for it.Access and fairnessBias and over-relianceTwo access-and-fairness risks to name with students directly.Access and fairnessKeep human judgment centralThe through-line: people, not tools, do the teaching and learning.
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