AMS Study Abroad

Academic Appeals

Module Marking and Degree Classification

Queen's Portal - Applicant Management System (AMS)

Queen's Portal - Student Admin Processes (SAP)

Applicant Appeals and Complaints

Developer Handbook

The development of a Developer Handbook/Common Framework for developers within D&IS to ensure consistency, efficiency, scalability, maintainability, collaboration and quality control when delivering projects within the University.

A skills matrix will be devised to map and evaluate skills and competencies to provide a clear visualisation of workforce capabilities and help identify skill gaps.

AI Chatbot

Library Queries App

The Library Queries App enables QUB Library staff to log student queries efficiently, with queries appearing as buttons on the screen that, when pressed, are stored in a list along with their type, the library, and the floor they were logged at. A Power BI report provides statistics on query types and commonly asked questions, helping customer experience managers identify common issues brought up by students in the library.

Health Assessment OSCE

The Health Assessment OSCE (Objective Structured Clinical Examination) is facilitated by School of Nursing and Midwifery, which takes place with volunteers acting as simulated patients. The assessment comprises of a number of stations, each with a different score, as well as some components requiring a minimum score. The OSCE facilitators currently have to collect physical score sheets and manually calculate scores so that verbal feedback is provided to students on the same day.

By automating the OSCE scoresheet process, the SNAM can improve operational efficiency, ensure assessment accuracy, enhance both staff and student experience, and reduce administrative burden, ultimately creating a more streamlined and reliable examination system.

Recognised Teachers and Supervisors

Academic staff who teach and/or supervise on validated, franchised or joint programmes which lead to a Queen’s award, or who are providing joint PhD supervision as part of a Collaborative Research Degree Programme (CRDP), must be ‘recognised’ by the University.  This is to ensure that they have the appropriate qualifications and experience to teach or supervise on a Queen’s award.

Currently, applications for recognition are made by completing a downloaded application form from the Queen’s website.  This project will rebuild the existing application form using Microsoft Forms, and integrate with SharePoint lists for more effective and secure communication and maintenance of application information.

On Hold

A Power Apps model-driven app designed for QUB Biomedical Sciences Education. It’s a state-of-the-art digital platform for the Body Donation Programme. The app manages all donor records and anatomical specimens. These records are processed using a mix of business rules, Power Automate flows and JavaScript. This is currently undergoing User Acceptance Testing in the Production environment. 

The relaunch of the programme provided an opportunity to modernise and future-proof the system. A cloud-hosted model-driven app give staff secure access to up-to-date donor records, while moving from an Excel spreadsheet to a structured data model improves data consistency and provides a clear audit trail. Consent forms and related documents can also be attached directly to donor records, improving accessibility and record management.

The system maintains the current offline consent process to meet witness requirements, while allowing scanned forms to be uploaded and linked to records. Integration with the stakeholder’s shared mailbox helps centralise correspondence, and an embedded Power BI dashboard provides real-time insights to support FOI requests and monitoring of the programme.

Peter Hassard

Peter Robinson

The Agent Tagging project aims to digitise the tagging of agents against applications submitted by international students where the agent supported the student through the application process. The introduction of this new system will automate key manual tasks, including emailing the agents at key points and checking data on the applicant's record to drive decision making on the process, while also highlighting any cases that require manual intervention for review. This will ensure a more consistent experience for the agents, while also cutting down on the manual involvement required by our staff.

The Student Information Point App is a simple Power Apps tool that allows staff to quickly record student and staff enquiries received by phone, email, or in person. All interactions are logged in one central place, giving the team a clear picture of enquiry types and volumes. This helps staff work more efficiently, ensures enquiries are handled consistently, and makes it easier to spot trends and plan resources. For students, it means their questions are recorded accurately, followed up reliably, and handled through a more streamlined and responsive support process.

An AI chatbot powered by Copilot tailored to answer real-time student queries about the McClay Library. For example, asking about printing will prompt the chatbot to retrieve the relevant information from its knowledge sources (in this case, the library help website) and answer near instantly. Live agent support is available when needed (for example, exceptional closure days).

Plans include obtaining advanced library information, such as occupancy grouped by floor, from the Sentry API. Awaiting survey feedback from students before implementing further improvements.

A Power BI report enabling chatbot owners and developers to understand key metrics and utilise filters to gain valuable insights into their chatbot’s performance. 

Metrics include message trends, exploring conversation details, tracking question responses, or analysing URLs cited in conversations. This helps interpret and act on the data presented.

Peter Hassard

Peter Robinson

The Queen’s Merit Award (QMA) project focused on digitising and automating the process for staff and students applying for Higher Education Academy (HEA) Fellowship recognition. Delivered in phases, the solution used Microsoft Forms, SharePoint, and Power Automate to streamline both registration and application workflows.

Phase 1 introduced online registration forms, with responses automatically stored in a SharePoint list and supported by automated notifications and feedback processes. Phase 2 extended this approach to application forms and incorporated assessment feedback from assessors, creating a consistent and integrated end-to-end experience.

The solution improved efficiency by reducing administrative effort, increasing visibility of HEA fellowship submissions, and enhancing reporting capabilities through structured data capture and integration with Power BI dashboards. Overall, the project delivered a scalable, streamlined process, enabling the QMA team to focus on reviewing applications and supporting staff development.

Kiera McGill