• Example scenarios of using AI assisted marking and feedback

    Contents 1 – Refining Written Feedback for Clarity and Tone ContextA marker has drafted personalised feedback for a 2,000‑word undergraduate essay. The feedback is accurate but dense and highly disciplinary. How staff apply the guidance The marker: AI is used to: Example prompt “Rewrite the following feedback to be clearer…

  • AI‑Assisted Marking and Feedback

    Core Principles for AI‑Assisted Marking and Feedback at Coventry University Group Guidance Purpose of this Guidance This guidance outlines the appropriate, ethical, and transparent use of Artificial Intelligence (AI) to support marking and feedback at Coventry University Group. It reflects the Group’s position that AI may enhance academic practice but…

  • Guidance for AI‑Assisted Marking and Feedback

    Summary This Guidance for AI- Assisted Marking and Feedback, approved by QuiLT on the 15th July 2026, sets out principles for AI-Assisted Marking and Feedback across Coventry University Group.  In addition to the principles listed below the guidance sets out the context for its development and sets out boundaries for…

  • Inspera Update – August 2026

    Colleagues, this August we will be activating Inspera’s new Author interface.  In this update there is information on this change and a link to a preview video which provides a demonstration of the new interface.  In addition, as we approach the new academic year, this update provides reminders of recent…

  • Block Teaching: Exemplars

    Block delivery provides a delivery framework for creating a learning environment in which knowledge is actively constructed through discussion, collaboration, application, reflection and problem-solving.  The extended contact time offers greater flexibility within the learning design, creating continuous opportunities for practise, active engagement with feedback, and helping students build confidence towards…

  • Inspera Update – May 2026

    Colleagues, this May 2026 Inspera update provides a summary of recent updates to Inspera, organised by role within Inspera and notification of forthcoming developments which we currently have access to for testing purposes.   It concludes with some reminders in preparation for setting up your assessments for semester 3/Block 5. Summary…

  • Inspera Update – April 2026

    Colleagues, this April 2026 Inspera update provides details of new updates from Inspera, opportunities to pilot some Inspera developments and details on some sessions that we will be running to introduce future changes that will happening with Inspera over the next few months.  It concludes with some reminders in preparation…

  • AI Competencies Framework – Activities

    The following are activities that educators should consider and can undertake to work on their AI literacy competencies: Activities Professional Development – To critically reflect on one’s own AI and pedagogic practice.– To identify competence gaps and areas for improvement.– To seek the help of others in improving one’s AI…

  • AI Literacy Competence Development Model

    The AI Literacy Competence Development Model is intended to help educators understand their current level of expertise in the use of AI technologies, acknowledge their strengths and weaknesses and determine areas that would benefit from further development. To encourage educators to use the AI Competencies Framework as a tool for…

  • AI Competencies Framework Purpose

    As Artificial Intelligence (AI) becomes embedded across disciplines and professions, in Higher Education, we have a responsibility to ensure students and staff can engage with these technologies critically, ethically and effectively. AI plays a vital role in University Teaching and Learning by enabling more personalised and inclusive educational experiences, supporting…

Skip to content