Change log

Keele University

Source-check timeline, source snapshot hashes, claim review state, and a diff-style preview of current source-backed claim evidence.

Change summary

Current public record freshness and review state.

Keele University currently has 4 source-backed claim records and 2 official source attributions. Latest tracked changed date: May 20, 2026.

This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Claim/evidence diff preview

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Keele University current policy evidence

Inserted lines represent current public claim and evidence records in the source-backed dataset.

+8-0
11 # Keele University AI policy record
2+academic_integrity: Keele's Student Academic Misconduct Code of Practice classifies inappropriate GenAI use in assessment as academic misconduct when a student presents work as their own without proper attribution or uses GenAI where it is explicitly prohibited.
3+Evidence (en, 22f0bddb4a8f): Using GenAI tools inappropriately in an assessment to present work as one's own, without proper attribution, or where it is explicitly prohibited to use GenAI tools.
4+teaching: Keele University's Generative AI in Education Framework says AI in education should be used responsibly, ethically, and equitably within Keele, and that staff and students should be supported to be AI-literate and use AI ethically.
5+Evidence (en, 469ee5e74f5e): This framework is intended to ensure that AI in education is used responsibly, ethically, and equitably within Keele. It aims to support the integration of Generative AI in education and development and embedding of foundational AI literacies across staff and students.
6+academic_integrity: Keele's framework says students must be advised on how AI can be used in assessments and that this must be clearly stated; it also says staff should remind students to disclose AI-tool use and cite it properly.
7+Evidence (en, 469ee5e74f5e): Staff should remind students that they must disclose when AI tools have been used in their work, that they require proper citation and refer them to the Academic Misconduct Code of Practice. Students must be advised on how AI can be used in assessments, and this must be clearly stated.
8+ai_tool_treatment: Keele's framework identifies Microsoft Copilot as the institutional GenAI tool available free to staff and students as part of Microsoft Office 365, and says other AI tools must consider accessibility, equitable access, GDPR, and data privacy.
9+Evidence (en, 469ee5e74f5e): Microsoft Copilot is the institutional tool available free to staff and students as part of the MS Office 365 suite. Use of other AI tools must consider accessibility and equitable access along with GDPR and data privacy.

Claim changes

4 claim records

academic_integrity

Keele's Student Academic Misconduct Code of Practice classifies inappropriate GenAI use in assessment as academic misconduct when a student presents work as their own without proper attribution or uses GenAI where it is explicitly prohibited.

Review: Agent reviewedConfidence96%Evidence1Languagesen

teaching

Keele University's Generative AI in Education Framework says AI in education should be used responsibly, ethically, and equitably within Keele, and that staff and students should be supported to be AI-literate and use AI ethically.

Review: Agent reviewedConfidence95%Evidence1Languagesen

academic_integrity

Keele's framework says students must be advised on how AI can be used in assessments and that this must be clearly stated; it also says staff should remind students to disclose AI-tool use and cite it properly.

Review: Agent reviewedConfidence94%Evidence1Languagesen

ai_tool_treatment

Keele's framework identifies Microsoft Copilot as the institutional GenAI tool available free to staff and students as part of Microsoft Office 365, and says other AI tools must consider accessibility, equitable access, GDPR, and data privacy.

Review: Agent reviewedConfidence93%Evidence1Languagesen

Source snapshots

2 source attributions