{"resourceId":"stanford-daily-college-pwr-paper-assessments-office-hours-decline-20261019","versions":[{"version":"external-ac017d642f786e00ac90cb0b88a783b7f72f3ead716fc7aa12f3340fc443b854","resource":{"id":"stanford-daily-college-pwr-paper-assessments-office-hours-decline-20261019","title":"Stanford Daily: Stanford COLLEGE and PWR return to paper, in-class writing and reading quizzes as the vice provost reports lower final exam scores and fewer office-hours visits amid AI use","organization":"Stanford University (COLLEGE program; Program in Writing and Rhetoric; Office of the Vice Provost for Undergraduate Education)","sector":"Higher education assessment and academic integrity / help-seeking and student engagement","geography":"Stanford, California, United States","publishedAt":"The Stanford Daily, 19 October 2026","publicationDate":"2026-10-19","eventDate":null,"sourceName":"The Stanford Daily","sourceLabel":"Student-newspaper news report with named administrator and faculty sources","sourceUrl":"https://stanforddaily.com/2026/10/19/ai-policies/","evidenceClass":"independent-reporting","outcomeClass":"cautionary","topics":["knowledge-work","governance-procurement","operating-model"],"finding":"Stanford's required COLLEGE program is reintroducing paper-and-pencil assignments (COLLEGE 102 in-class written responses), adding reading quizzes to COLLEGE 101 to verify students read original texts rather than AI summaries, and recommending screen-free classes, building on last year's blue-book exam in place of a write-at-home final essay. PWR lecturers are adding in-class writing, paper annotation and journaling. Vice Provost Jay Hamilton said students proposed weekly low-stakes understanding checks, that problem-set scores have improved while final exam scores have dipped, and that students attend fewer office hours, citing convenience and embarrassment; one student reportedly said they use Claude instead. He said humans are losing market share with students.","sledRelevance":"A fresh, named-administrator signal from a U.S. research university that AI use may be displacing office hours and inflating take-home work relative to exams, with a concrete assessment response. This bears on help-seeking, mentoring and early-alert design.","evidence":"Reported course changes and an administrator's description of grade and attendance trends. No data, years, effect sizes or comparison groups are published in the article.","architectureImplications":"Limited technical relevance. Interpretation: institutions that rely on LMS submission data for early alerts may see misleading signals if take-home scores rise while exam performance falls.","governanceImplications":"Assessment changes are program-level and partly student-proposed. The article implies a shift toward in-person verification rather than detection.","securityPrivacyImplications":"Not directly addressed.","caveats":"Student journalism. Trends are anecdotal or unquantified as reported. Stanford is a highly selective institution, which limits transferability to open-access colleges.","streamIds":["student-success"],"roles":{"sales":"Sales framing: Stanford's vice provost links AI use to fewer office-hours visits and a gap between rising take-home scores and falling exam scores, and programs are responding with in-class assessment. Use this to open conversations about help-seeking and early-alert signals, not to sell more AI. A bounded engagement could analyse whether local data show the same divergence. Do not quote it as measured evidence: the article gives no figures, years or methods.","engineering":"Engineering framing: the main technical implication is for analytics. If take-home scores rise while exam scores fall, early-alert models trained on assignment data may under-flag students. Proof of value would compare take-home and proctored performance by cohort before and after generative AI, and add help-seeking signals such as office-hours or tutoring visits. Any accommodation for paper-based assessment needs assistive-technology planning with disability services.","delivery":"Delivery framing: Stanford's response mixes assessment changes with student co-design of low-stakes checks. Institutions copying it should pilot in a few high-enrolment courses, track exam performance, office-hours attendance and student workload, and plan accommodations for screen-free formats. Pair assessment changes with outreach that lowers the embarrassment barrier to seeking help, since students reportedly choose AI because it is always available and does not judge them."},"roleDetails":{"sales":{"customerProblem":"Leaders suspect AI is displacing human help-seeking and making take-home work a weaker signal of learning, but lack local evidence.","stakeholders":["Vice provost for undergraduate education","Teaching and learning center director","Writing program director","Institutional research","Disability services"],"discoveryQuestions":["Has the gap between take-home and proctored scores changed since 2023?","Are office-hours and tutoring visits falling, and for whom?","Which courses have moved to in-class assessment, and with what effect?","How are accommodations handled for screen-free formats?"],"valueHypothesis":"Interpretation: local analysis of score divergence and help-seeking trends could target assessment redesign and outreach where AI substitution is greatest.","potentialEngagement":"A bounded institutional-research analysis of assessment-score divergence and help-seeking trends across a sample of gateway courses.","unsupportedClaims":["That AI causes lower exam scores","Quantified decline in office-hours attendance","That paper-based assessment improves learning","Transferability to open-access institutions"]},"engineering":{"fit":"Relevant to institutions running LMS-based early-alert models or reviewing assessment design in gateway courses.","architectureIntegration":"No system described. Interpretation: alert models would need proctored-assessment and help-seeking features alongside LMS submission data.","prerequisites":["Historical take-home and proctored score data","Office-hours or tutoring attendance records","Cohort identifiers for subgroup analysis","IRB or data-governance approval"],"constraints":["Highly selective institution; limited transferability","No published data behind the reported trends","Accessibility obligations for paper formats","Instructor workload limits"],"security":"Use de-identified course data for analysis and limit linkage of attendance and grade records to approved purposes.","proofOfValue":["Before-and-after comparison of take-home and exam score gaps","Office-hours attendance trend by cohort","Alert model recall check with and without exam features","Accommodation request review for screen-free courses"]},"delivery":{"work":"Pilot in-class understanding checks and help-seeking outreach in selected courses, with measurement of exam performance and attendance.","dependencies":["Instructor participation","Institutional research capacity","Disability services planning","Student input on low-stakes checks"],"ownership":"Undergraduate education office with course program directors.","skillsAdoption":"Instructor support for designing low-stakes in-class checks and screen-free activities, with guidance on accommodations.","governanceCheckpoints":["Program approval of assessment changes","Accessibility review of formats","Data-use approval for trend analysis","End-of-term review of results"],"acceptanceCriteria":["Proposed: take-home versus exam score gap reported per pilot course each term","Proposed: office-hours or tutoring visits tracked against prior-year baseline","Proposed: accommodation requests resolved before assessments","Proposed: student workload survey shows no significant increase"],"risks":["Misattributing score trends to AI","Accessibility barriers in paper formats","Instructor grading overload","Students still bypassing human help"]}},"retrievedAt":"2026-10-20T03:15:03Z","enrichedAt":"2026-10-19T03:40:00Z","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Screen-free and paper-based assessment needs accommodation planning for students who rely on assistive technology. More in-class quizzes add instructor grading load.","procurementImplications":"Not a procurement signal.","operatingModelImplications":"If students substitute AI for office hours, advising and teaching teams may need proactive outreach and lower-friction help-seeking routes to keep mentoring contact.","sourceVerification":{"openedUrl":"https://stanforddaily.com/2026/10/19/ai-policies/","referenceExcerpt":"According to Hamilton, students are also attending fewer office hours sessions than in previous years.","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}