Test Community Network

Test Community Network assessment wiki

Last updated: 22 October 2026 ยท Reviewed by Tim Burnett (Admin)

TLDR

This is a public reference wiki on AI and assessment, with topic pages synthesising what the sources suggest and where the evidence is still contested. Start with a topic overview, then follow the linked comparison and source-note pages for detail. The wiki is designed to help assessment leaders, regulators, practitioners, and suppliers compare risks, trade-offs, and good practice.

Topic clusters

- [[test-security]] - [[remote-proctoring-and-invigilation-controls]] - [[secure-browsers-and-controlled-environments]] - [[identity-fraud-and-biometric-assurance-in-assessment]] - [[credential-security-and-verification]] - [[test-security-detection-vs-redesign]] - [[test-security-ai-exam-maintenance]] - [[test-security-detection-vs-online-platform-failure]] - [[test-security-detection-vs-wellbeing]] - [[test-security-assurance-approaches]] - [[test-security-vendor-landscape]] - [[test-security-remote-proctoring-provider-evaluation]] - [[test-security-paper-versus-digital-exams]] - [[test-security-online-assessment-failures]] - [[test-security-leakage-and-remediation]] - [[test-security-comparison-proxy-interviews-ai-cheating-deepfakes]] - [[test-security-compromised-item-detection-cat]] - [[test-security-detection-vs-cross-session-intelligence]] - [[test-security-identity-chain-and-learner-authentication]] - [[test-security-remote-unsupervised-tests]]

Major Topic Clusters

- [[ai-in-assessment|Artificial Intelligence (AI) in Assessment]] - [[test-security|Test Security and Integrity]] - [[regulator-positions|Regulator positions]] - [[assessment-procurement-and-governance|Assessment procurement and governance]] - [[ai-marking-and-feedback-platforms|AI marking and feedback platforms]] - [[automated-item-generation|Automated item generation]] - [[ai-detection-and-authenticity|AI detection and authenticity]] - [[non-exam-assessment-authenticity|Non-exam assessment authenticity]] - [[ai-in-assessment-design|AI in assessment design]] - [[ai-literacy-and-assessment-design|AI literacy and assessment design]] - [[assessment-verification-and-learning-outcomes|Assessment verification and learning outcomes]] - [[campus-ai-ecosystems|Campus AI ecosystems]] - [[cognitive-offloading-and-ai|Cognitive offloading and AI]] - [[generative-ai-in-credentialing-assessments|Generative AI in credentialing assessments]] - [[llm-resistant-exams|LLM-resistant exams]] - [[on-screen-assessment|On-screen assessment]]

Summary

The Test Community Network AI & Assessment Wiki is a cited reference point for understanding how artificial intelligence is affecting assessment design, delivery, scoring, security, validity, fairness, regulation, identity assurance, and market practice.

Topic Overviews

- [[ai-in-assessment|Artificial Intelligence (AI) in Assessment]] - [[test-security|Test Security and Integrity]] - [[accessibility|Accessibility and Universal Design]] - [[cultural-linguistics|Cultural & Linguistics]] - [[data-analytics|Data Analytics and Big Data]] - [[emerging-formats|Emerging Assessment Formats]] - [[equity-diversity-inclusion|Equity, Diversity and Inclusion]] - [[fundamentals-of-testing|Fundamentals of Testing]] - [[performance-based|Performance-Based Assessment]] - [[professional-development|Professional Development and Credentialing]] - [[psychometric-standards|Psychometric Standards and Quality]] - [[regulatory-compliance|Regulatory and Compliance]] - [[standards-guidelines|Standards and Guidelines]] - [[technology-enhanced|Technology-Enhanced Assessment]] - [[other|Other Assessment and Learning Topics]]

Related source notes

- [[test-security-source-note-ofqual-fraud-action-plan]] - [[test-security-source-note-neet-data-security]] - [[test-security-source-note-fairness-remote-proctoring-choice]] - [[test-security-source-note-assessment-integrity-to-credential-defensibility]] - [[test-security-source-note-gcse-cyberattack]]

Topic Pathways

### AI in assessment - [[ai-in-assessment-guardrails-vs-surveillance|AI guardrails versus surveillance in assessment]] - [[ai-literacy-governance-and-authenticity-in-higher-education|AI literacy, governance, and authenticity in higher education]] - [[ncca-ai-guidance-for-certification-programs|NCCA AI guidance for certification programmes]] - [[entrepreneurship-and-innovation-in-assessment-ai|Entrepreneurship and innovation in assessment AI]] ### Test security - [[remote-proctoring-and-invigilation-controls|Remote proctoring and invigilation controls]] - [[secure-browsers-and-controlled-environments|Secure browsers and controlled environments]] - [[credential-security-and-verification|Credential security and verification]] - [[test-security-vendor-landscape|Test security vendor landscape]] - [[test-security-human-vs-ai-remote-proctoring|Human versus AI remote proctoring]] - [[test-security-compromised-item-detection-cat|Compromised item detection in computerised adaptive testing]] - [[test-security-comparison-proxy-interviews-ai-cheating-deepfakes|Proxy interviews, AI cheating, and deepfakes in recruitment security]]

Featured Guides

- [[off-device-security-threats|Off-device security threats]] - [[automated-item-generation|Automated item generation]] - [[ai-marking-reliability|AI marking reliability]] - [[test-security-vendor-landscape|Test security vendor landscape]]

Source Notes and Signals

- [[test-security-source-note-asrg]] - [[test-security-source-note-asrg-devices-of-deception]] - [[test-security-source-note-caveon-observer]] - [[test-security-source-note-cognisense]] - [[test-security-source-note-compilatio]] - [[test-security-source-note-cursive-technology-inc]] - [[test-security-source-note-eaa-online-proctoring-sig-webinar-ai-in-online-proctoring]] - [[test-security-source-note-fiji-cheating-trend]] - [[test-security-source-note-germany-driving-exam-cheating]] - [[test-security-source-note-hidden-in-plain-sight-wearable-technology]] - [[test-security-source-note-ielts-score-changes]] - [[test-security-source-note-kryterion-databricks]] - [[test-security-source-note-kseab-sslc-2026-paper-leak]] - [[test-security-source-note-kuwait-cheating-app]] - [[test-security-source-note-lsat-china]] - [[test-security-source-note-managing-malpractice-and-maladministration]] - [[test-security-source-note-ncta-atp-online-observation-of-tests-standards]] - [[test-security-source-note-pearson-palm-print-id]] - [[test-security-source-note-remote-assessment-vendor-evaluation]] - [[test-security-source-note-remote-testing-experience]] - [[test-security-source-note-south-africa-teen-suicide]] - [[test-security-source-note-star-tutors-indicted-for-buying-test-questions-from-teachers]] - [[test-security-source-note-test-delivery-polarisation]] - [[test-security-source-note-uneb-arrests-exam-cheating]] - [[test-security-source-note-using-keystroke-dynamics-to-detect-nonoriginal-text]] - [[test-security-source-note-vibe-coding-cheating-apps]] - [[test-security-source-note-waec-neco-anti-malpractice]] - [[test-security-source-note-zunoma]] - [[test-security-source-note-ao-forum-regulator-panels]]

Recently Updated

- [[test-security]] - [[test-security-remote-unsupervised-tests]] - [[test-security-index]]

Key pages

- [[ai-in-assessment]] โ€“ overview of the AI and assessment topic - [[ai-in-assessment-design]] โ€“ how to design tasks when AI is part of the environment - [[assessment-procurement-and-governance]] โ€“ how to buy and govern AI-enabled tools safely - [[assessment-verification-and-learning-outcomes]] โ€“ how to preserve the meaning of the result - [[ai-marking-and-feedback-platforms]] โ€“ what AI marking tools do and where the risks sit - [[ai-detection-and-authenticity]] โ€“ why detection is not the same as authenticity - [[ai-enabled-assessment-security]] โ€“ how AI changes security and integrity controls

Sources

- [Test Community Network knowledge base](https://www.testcommunity.network/content) - [Test Community Network assessment wiki](https://testcommunity.network/knowledge/ai-in-assessment/wiki/ai_in_assessment)

Other Assessment Topic Areas

- [[accessibility]] โ€” Accessibility and Universal Design. - [[cultural-linguistics]] โ€” Cultural and linguistic fairness in assessment. - [[data-analytics]] โ€” Data Analytics and Big Data. - [[emerging-formats]] โ€” Emerging Assessment Formats. - [[equity-diversity-inclusion]] โ€” Equity, Diversity and Inclusion. - [[fundamentals-of-testing]] โ€” Fundamentals of Testing. - [[performance-based]] โ€” Performance-Based Assessment. - [[professional-development]] โ€” Professional Development and Credentialing. - [[psychometric-standards]] โ€” Psychometric Standards and Quality. - [[regulatory-compliance]] โ€” Regulatory and Compliance. - [[standards-guidelines]] โ€” Standards and Guidelines. - [[technology-enhanced]] โ€” Technology-Enhanced Assessment. - [[other]] โ€” Cross-cutting and uncategorised assessment topics.

Evidence Gaps

- More primary regulator publications would strengthen pages on policy and qualification design. - More independent validation studies would strengthen pages on AI marking, feedback quality, item generation, and automated essay scoring. - More implementation case studies would help distinguish classroom, professional certification, and high-stakes testing use cases. - More evidence is needed on the environmental, labour, and dependency costs of AI procurement in assessment settings. - More evidence is needed on process-focused assessment models and oral verification designs beyond early practitioner descriptions. - More independent evidence is needed on cognitive offloading, metacognitive laziness, and long-term learning outcomes. - More evidence is needed on whether assessment systems can reliably verify learner judgement, not just polished outputs. - More independent published evidence would strengthen the TCN source themes on item-generation workflows, expert-in-the-loop governance, and explainable marking. - More independent evidence is needed on AI detector robustness, especially against adversarial techniques and across language groups.

What this wiki is for

It helps assessment leaders, regulators, suppliers, and researchers understand how AI changes the security, validity, and governance of assessment. Each page aims to explain the underlying issue, the evidence behind it, and the questions a reader should ask next.

โ† Back to Artificial Intelligence (AI) in Assessment