Educational AI Procurement and Student Data Decision Gate
Evaluate an educational AI purchase against learning need, evidence, accessibility, privacy, security, equity, retention, lock-in and total cost before an accountable decision.
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Structured instructions for completing individual tasks with an AI tool. Filter by outcome, category, tool, difficulty or keyword.
Open a Prompt to copy its instructions, run supported Prompts privately in Workplace, or prepare a task for Codex where available. Copying text does not run the Prompt.
University AI Policy-to-Practice and Appeals Map
Translate supplied university AI policy into traceable role-specific rules, evidence requirements, escalation routes and fair appeals without inventing institutional authority.
Student AI Prototype Readiness and Handoff Review
Test whether a student AI prototype has documented users, data rights, evaluation evidence, limitations, risks and a safe accountable owner before demonstration or reuse.
Blind AI Model Comparison Teaching Lab and Evaluation Pack
Design a reproducible learning lab that hides model identity, uses held-out tasks and calibrated scoring, and teaches students to interpret uncertainty and failure slices.
Programme Learning Outcome Coverage and Constructive Alignment Audit
Trace programme outcomes across modules, teaching activities and assessments to expose underassessment, duplication, progression breaks and evidence gaps.
Viva and Oral Defence Evidence Probe Builder
Create adaptive oral questions tied to a submitted artefact, with follow-ups that test reasoning, sources, decisions and limitations without treating fluency as proof of authorship.
Marking Moderation Anomaly Investigation
Investigate scorer patterns, criterion distributions, anchor decisions and justified exceptions for possible marking drift without automatically changing grades.
Assessment Brief Ambiguity and Fairness Preflight
Test an assessment brief for unclear requirements, construct-irrelevant difficulty, accessibility barriers, ambiguous AI-use rules and inconsistent marking risk before release.
Replication Package Computational Reproducibility Gate
Inspect a research package for data provenance, licensing, environment, code, seeds, dependencies and expected outputs, separating reproduced evidence from inaccessible work.
Qualitative Codebook Reliability and Reflexivity Protocol
Build and stress-test a qualitative codebook using traceable excerpts, rival interpretations, coder disagreement, positionality and documented adjudication.
Preregistration and Statistical Analysis Plan Coherence Audit
Cross-check hypotheses, outcomes, exclusions, power assumptions, models, multiplicity controls and decision rules before data inspection, with deviations made explicit.
Research Question Identifiability and Design Feasibility Review
Test whether a research question can be answered with the proposed design, population, variables, data and estimand, separating repairable gaps from fatal limitations.