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Mobile computing policy
This policy details how to ensure safe mobile working and ease of use and with the capability to connect and access resources such as email, online storage, and University business systems and data sources.
Multi-Factor Authentication (MFA) - QR Code setup guide
This guide explains how to set up MFA for staff and students.
Your University laptop - guidance for overseas colleagues
How to use a University laptop for colleagues based overseas.
Electronic information security policy
This policy applies to all use of information and information technology on the University’s premises, to all information technology provided by the University wherever it is used, and to all external access to the University’s information technology from wherever this is initiated.
Electronic information security policy - monitoring and logging policy
This subsidiary policy covers the monitoring and logging of all uses of information technology.
Electronic information security policy - user policy
This subsidiary policy covers everything that an information technology ‘user’ requires to know. ‘Users’ are those that only use services provided to them as part of their role at the University and in the way the services are intended to be used by the service provider.
ENhance Case Study - Authentic Assessment in Criminology
This case study showcases the changes made to assessment in the Introduction to UK Criminal Justice Systems module, to improve student learning, inclusivity and mitigate against improper use of Generative AI.
ENhance Case Study - AI in Professional Practice
Dr Janis MacCallum shares practice on supporting appropriate Generative Artificial Intelligence use for biology students in the School of Applied Sciences, building on DLTE resources such as the AI Toolkit and AI Coversheet.
ENhance Case Study - AI Tools in Biology Professional Practice
Example of practice in learning, teaching and assessment to support professional development.
Dialogic feedback cover sheet
Assignment cover sheet to help students reflect on feedback already received, develop their skills, and help academic advisors to provide relevant and personalised feedback.