{"resourceId":"daily-athenaeum-wvu-ai-course-attribute-academic-integrity-informal-resolution-20261102","versions":[{"version":"external-366f8cd4f2b60c2cae14649914182c21600c22141905b62132c0a4ae543d6a10","resource":{"id":"daily-athenaeum-wvu-ai-course-attribute-academic-integrity-informal-resolution-20261102","title":"West Virginia University plans an AI course attribute for Spring 2027 requiring 20% AI-related graded work, and changes academic-integrity informal resolution so non-responses are resolved automatically","organization":"West Virginia University Faculty Senate; reported by The Daily Athenaeum","sector":"Higher education curriculum and academic integrity","geography":"United States (Morgantown, West Virginia)","publishedAt":"The Daily Athenaeum, 2 November 2026","publicationDate":"2026-11-02","eventDate":"2026-11-02","sourceName":"The Daily Athenaeum","sourceLabel":"Student newspaper reporting","sourceUrl":"https://www.thedaonline.com/news/university/wvu-to-bring-ai-attributes-to-coursework-changes-academic-integrity-policy-plans-response-to-department/article_28f5a5ab-f7d5-4a82-9696-a7b1c16b468a.html","evidenceClass":"independent-reporting","outcomeClass":"emerging","topics":["governance-procurement","operating-model","accessibility-workforce"],"finding":"The Daily Athenaeum (2 November 2026) reports that WVU's Faculty Senate heard plans for an AI course attribute for Spring 2027; courses carrying it require students to engage with AI and make 20% of graded coursework AI-related, per Vice Provost Mark Gavin, who also floated a staffed campus 'AI commons'. The Office of Academic Integrity simplified violation definitions into five types and changed informal resolution: students who do not respond within five days now have cases resolved automatically under the informal terms, so the listed grade sanction can take effect. The change was made because the old process delayed sanctions.","sledRelevance":"Combines AI-literacy curriculum design with an integrity-process change that affects how quickly students face grade sanctions, both student-success levers.","evidence":"Attributed administrator statements at a governance meeting; no evaluation.","architectureImplications":"Course attribute implies registrar/catalog coding; integrity case management with automatic resolution after five days.","governanceImplications":"Interpretation: automatic resolution on non-response speeds cases but raises due-process and notification questions, especially where AI-misuse allegations are contested.","securityPrivacyImplications":"Not addressed.","caveats":"Single report; implementation details, the AI-misuse share of cases and student impact are not given.","streamIds":["student-success"],"roles":{"sales":"Sales framing: WVU is pairing an AI-literacy course attribute with faster academic-integrity processing. Courses carrying the attribute need 20% AI-related graded work, and integrity cases now resolve automatically when students do not respond within five days. A credible conversation covers curriculum mapping for AI attributes and student notification design. A bounded engagement could map candidate courses to the attribute criteria. Do not claim learning gains or reduced misconduct; the report describes plans and policy changes only.","engineering":"Engineering framing: an AI course attribute requires catalog and degree-audit coding, while auto-resolution of integrity cases depends on reliable notification and response tracking. Fit depends on student information system attribute support and case-management timers. Prerequisites include attribute definitions and notification logs. Constraints include due-process requirements. Proof of value should confirm attribute courses are searchable and audited, and that every auto-resolved case has a delivered, timestamped notice, addressing the gap this report leaves open.","delivery":"Delivery framing: the operating owners are the provost's office for the attribute and the Office of Academic Integrity for case handling. Work includes approving attribute courses against the 20% rule, staffing an AI commons, and monitoring auto-resolved cases. Proposed acceptance criteria include attribute courses listed for Spring 2027 and review of auto-resolution outcomes by student group. Risks are students sanctioned without seeing notices, uneven AI content quality across attribute courses, and faculty workload."},"roleDetails":{"sales":{"customerProblem":"Institutions need structured AI-literacy curriculum and faster, fair integrity case handling.","stakeholders":["Vice provost","Office of Academic Integrity","Registrar","Faculty senate","Student government"],"discoveryQuestions":["How will courses qualify for an AI attribute?","How are integrity notices delivered and tracked?","Who reviews auto-resolved sanctions?"],"valueHypothesis":"Interpretation: clear attribute criteria and tracked notices may improve AI-literacy coverage without unfair sanctions.","potentialEngagement":"Mapping candidate courses to AI-attribute criteria and reviewing notification design.","unsupportedClaims":["Attribute improves learning","Policy reduces misconduct","AI commons is funded"]},"engineering":{"fit":"Catalog attribute coding and integrity case notification tracking.","architectureIntegration":"Student information system attributes, degree audit, case-management timers and email logs.","prerequisites":["Attribute definitions","Notification delivery logs","Case-management configuration"],"constraints":["Due-process obligations","State university policy","Plans not yet implemented"],"security":"Integrity case records are protected education records.","proofOfValue":["Attribute courses appear in catalog search","Every auto-resolved case has a delivered notice"]},"delivery":{"work":"Implement the AI attribute and monitor auto-resolved integrity cases.","dependencies":["Faculty senate approval","Registrar coding","Integrity office capacity"],"ownership":"Provost's office and Office of Academic Integrity","skillsAdoption":"Faculty development for designing AI-related graded work.","governanceCheckpoints":["Course approval against 20% rule","Periodic review of auto-resolved cases"],"acceptanceCriteria":["Proposed: attribute courses listed for Spring 2027","Proposed: auto-resolution outcomes reviewed by student group each term"],"risks":["Sanctions without notice","Uneven attribute course quality","Faculty workload"]}},"retrievedAt":"2026-11-05T04:12:27Z","enrichedAt":"2026-11-05T04:14:20Z","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Interpretation: students who miss email notices (workload, disability, connectivity) could receive sanctions by default.","procurementImplications":"Not addressed.","operatingModelImplications":"An AI commons would be a staffed physical support facility for faculty, staff and students.","peerReview":"unknown","sourceVerification":{"openedUrl":"https://www.thedaonline.com/news/university/wvu-to-bring-ai-attributes-to-coursework-changes-academic-integrity-policy-plans-response-to-department/article_28f5a5ab-f7d5-4a82-9696-a7b1c16b468a.html","referenceExcerpt":"stipulate that 20% of the graded coursework must be related to AI","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}