Oral Exam Question Bank
Builds an oral exam question bank with probing follow-ups, project-defence questions and a scoring guide.
Teaching partners for learning outcomes, session plans, exam questions, rubrics, feedback and AI-resilient assessment.
Builds an oral exam question bank with probing follow-ups, project-defence questions and a scoring guide.
Critiques existing course learning outcomes and proposes a revised, assessable set tagged by Bloom level.
Builds a bank of examples, look-alike non-examples, borderline cases and an analogy for teaching a concept.
Drafts a phased lesson plan with timings, student activities and understanding checks for a single session.
Reviews a session plan or assignment for barriers across the three UDL areas and suggests low-effort options.
Turns a teacher's rough judgements on anonymised student work into constructive feedback without grading.
Maps the prerequisites of a topic and builds a diagnostic quiz with an answer key and remedies for each gap.
Interviews a teacher step by step and writes a guarded AI tutor prompt for their students to paste into a chatbot.
Builds an analytic rubric with observable level descriptors mapped to outcomes plus a student-friendly version.
Anticipates common student misconceptions about a topic with diagnostic questions and teaching responses.
Audits a course for constructive alignment between outcomes, learning activities and assessments.
Reviews teaching material from a novice student's perspective and lists likely points of confusion.
Explains one concept at four audience levels with examples, typical misunderstandings and flagged simplifications.
Places short active-learning activities with prompts and debriefs at specific points in a lecture outline.
Designs discussion prompts across four types with follow-ups and a facilitation structure for a seminar.
Generates a faded worked-example sequence for a procedure with a separate teacher solution key.
Designs exit tickets and hinge questions with guidance on interpreting responses and adjusting the next session.
Analyses how easily AI could complete an assignment and redesigns it to keep the outcomes valid.
Writes multiple-choice items whose distractors each map to a specific misconception or error.
Revises academic material into plain, accessible language and lists accessibility issues beyond the text.
Writes a bank of actionable feed-forward comments for each rubric criterion and level.
Drafts a syllabus AI-use policy statement per assessment aligned with Swiss higher-education guidance.
Designs real-world group project briefs with milestones, individual accountability and risk mitigations.
Generates exam questions per learning outcome with marking guides and a Bloom-level blueprint.
Groups anonymised student answers into error patterns and plans a short whole-class feedback session.
Creates supported, core and extended versions of a task that all target the same learning outcome.
Classifies a module's assessments into secure and open lanes and checks that every key outcome is verified securely.
Extracts key terms from course material into a bilingual glossary with Swiss-specific terminology and false friends.
Analyses anonymised course evaluation comments into themes and tensions and proposes three checkable changes.
Simulates student bypass strategies against an AI tutor prompt and proposes wording fixes for the leaks.
Tests a rubric's reliability by applying it to fictional sample submissions and revising ambiguous descriptors.
Writes a fictional teaching case with discussion questions and a separate teaching note set in a Swiss or European context.
Sequences module topics week by week with spaced revisits and flags weeks with excessive student workload.
Reviews a slide deck against cognitive load and multimedia learning principles and suggests structural changes.